seed: 3 Cardecky-Decks v1.0.0 + Audit-Trail im Repo

Drei Cardecky-Decks live im lokalen Marketplace, mit komplettem
Audit-Trail unter docs/marketplace/seed/:

| Deck                          | Karten | Lizenz    |
|-------------------------------|--------|-----------|
| geografie-welt-top30          |    30  | CC0-1.0   |
| english-a2-grundwortschatz    |   500  | CC-BY-4.0 |
| periodensystem-elemente       |   118  | CC0-1.0   |

648 Karten gesamt = 1296 FSRS-Reviews. Alle drei via /cards-deck-
Skill 5-Stage-Pipeline (Plan, Recherche, Design, Validate, Publish).
Bulk-Mode mit Python-Heredoc-Generator, Server-Side atomic-Insert
in <1s pro Deck.

Pro Deck im Audit-Trail:
- plan.md (Subtopic-Boundaries, Streitfälle vorab)
- research/sources.md (3-8 nummerierte Quellen)
- research/notes.md (Recherche-Notes, Streitfall-Auflösungen)
- design/build_cards.py (deterministischer Generator mit Sanity-
  Checks gegen Front-Duplikate)
- design/cards.jsonl (atomic Output, 1 Karte/Zeile)
- design/outline.md (Subtopic-Counts + F-Range)
- validate/report.md (5 Standard-Checks alle ✓)
- publish/deck.json + cards.log (Server-Response + Round-Trip)

CONTENT_PLAN §8 Phase-1-Seed-Liste: 3/20 done.

README.md erklärt die seed/-Konvention für künftige Cardecky-Decks
sowie das Update-Protokoll bei PR-Merges aus dem Marketplace.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Till JS 2026-05-09 18:49:05 +02:00
parent d7f3b93996
commit 9a07454b75
25 changed files with 2753 additions and 1 deletions

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@ -98,7 +98,7 @@ Vollständiger Plan: [`mana/docs/playbooks/CARDS_GREENFIELD.md`](../mana/docs/pl
| 9 | Polish (DSGVO-UI, Settings, Account, Statistik, i18n, A11y, Media, Image-Occlusion) | 🟡 weit | Card-Edit + Cloze-Editor + Inbox-Banner + Account/DSGVO + Statistik + Pre-Flight-Swap + i18n DE/EN + A11y-Pass + Cloze-Hint-Anzeige + Anki-Re-Import-Dedupe + MinIO-Media-Upload + Image-Occlusion durch (9a9l). Verbleibend: type-in, audio, multiple-choice (Schema vorbereitet) |
| 10 | Production-Deploy (Mac Mini, Cloudflare-Tunnel) | ✅ live 2026-05-08 | cardecky.mana.how + cardecky-api.mana.how, alte cards.* via nginx-301-Redirect |
| 11 | Decommission Cards-Modul aus mana-monorepo | ✅ 2026-05-08 | apps/cards, services/cards-server, packages/cards-core, mana-app cards-Modul + cross-refs entfernt (4 Commits, type-check 0 errors) |
| 12 | Marketplace-Restore (R0R6) | 🟢 R0R5 + Polish + 2 Cardecky-Decks live | Plan: [`docs/playbooks/MARKETPLACE_RESTORE.md`](docs/playbooks/MARKETPLACE_RESTORE.md). Stack: R0 Plan ✅, R1 Schema ✅, R2 α+β Authors+Publish ✅, R3 γ+δ Discovery+Subscribe+Smart-Merge ✅, R4 ε PRs+Discussions ✅, R5 Frontend-Routes ✅, G1-G4 Polish ✅ (svelte-ignore + Skeleton/EmptyState + Server-Filter + Owner-Info). Cardecky-Skill (`~/.claude/skills/cards-deck/SKILL.md`) auf Marketplace-Target umgestellt + Bulk-Mode dokumentiert. **Erste 2 Cardecky-Decks live**: `/d/geografie-welt-top30` (30 Karten, CC0-1.0) + `/d/english-a2-grundwortschatz` (500 Karten, CC-BY-4.0). Bulk-Pipeline 500-Karten-atomic-publish in <1s. CONTENT_PLAN §8 Phase-1-Seed-Liste hat 18 Decks open + 2 done. Verbleibend: R6 voller UI-E2E im Browser (manuelles Click-Through), 18 weitere Tier-A-Decks via Skill, Anki-ImportMarketplace-Publish-Hook. Nicht angefasst: Header-Nav-Link auf /explore (Tills uncommitted WIP er commitet Theming + fügt Link hinzu), Image-Occlusion/Audio im Marketplace, Auth-Guard im +layout.svelte. |
| 12 | Marketplace-Restore (R0R6) | 🟢 R0R5 + Polish + 3 Cardecky-Decks live | Plan: [`docs/playbooks/MARKETPLACE_RESTORE.md`](docs/playbooks/MARKETPLACE_RESTORE.md). Stack komplett: R0R5 + G1-G4. Cardecky-Skill (`~/.claude/skills/cards-deck/SKILL.md`) auf Marketplace-Target + Bulk-Mode. **3 Cardecky-Decks live** (Audit-Trail unter `docs/marketplace/seed/`): `/d/geografie-welt-top30` (30, CC0), `/d/english-a2-grundwortschatz` (500, CC-BY-4.0), `/d/periodensystem-elemente` (118, CC0). 648 Karten gesamt, 1296 FSRS-Reviews, alle <1s atomic publish. CONTENT_PLAN §8 Phase-1-Seed-Liste 3/20 done. Verbleibend: 17 weitere Tier-A-Decks, R6 UI-E2E, Anki-ImportMarketplace-Hook. |
Legende: ✅ erledigt + verifiziert · 🚧 blockiert · ⏸ noch nicht begonnen

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# Cardecky Seed-Decks — Audit-Trail
Reproduzierbare Deck-Erzeugung. Pro Deck eine Sub-Direktive mit
allen Stages des `/cards-deck`-Skill-Runs:
```
seed/<slug>/
├─ plan.md Stage 1: Thema, Subtopics, Card-Count, Type-Mix
├─ research/
│ ├─ sources.md Stage 2: Quellen-Liste mit URLs + Zugriffsdatum
│ └─ notes.md Stage 2: Recherche, Streitfall-Auflösungen
├─ design/
│ ├─ outline.md Stage 3: Subtopic-Counts + F-Range
│ ├─ build_cards.py Stage 3: deterministischer Generator
│ └─ cards.jsonl Stage 3: 1 Karte/Zeile, mit source_refs
├─ validate/
│ └─ report.md Stage 4: 5 Standard-Checks (atomicity,
│ source-coverage, dedupe, type-fit,
│ mission-check)
└─ publish/
├─ deck.json Stage 5: Server-Response auf POST publish
└─ cards.log Stage 5: Audit-Log mit Round-Trip-Zeit
```
## Wofür dieser Trail dient
1. **Reproduzierbarkeit** — bei jedem Skill-Re-Run mit derselben
`build_cards.py` muss die identische cards.jsonl entstehen
(deterministisch via random.seed). Jede Abweichung deutet auf
einen Bug oder eine bewusste Schema-Änderung.
2. **Editorial-Transparenz** — User können in `research/sources.md`
sehen, welche Quellen Cardecky-Decks zugrunde liegen. Sie können
`notes.md` lesen, um die Streitfall-Entscheidungen zu verstehen.
3. **Versions-Bumps via PR-Merge** — wenn der Marketplace einen
PR auf den Deck merged, entsteht eine neue Version 1.1.0 ohne
dass dieser Trail mit-aktualisiert wird. Das ist OK: der Trail
dokumentiert die **initiale Veröffentlichung** v1.0.0; spätere
Versionen leben in der DB + im PR-Verlauf.
4. **Compliance / DSGVO** — falls jemand fragt, woher Cardecky
die deutsche Übersetzung von „neighbor" hat: `research/sources.md`
sagt PONS [4], `research/notes.md` zeigt die US-Spelling-
Disziplin.
## Konventionen
- **Slug = Verzeichnis-Name = Marketplace-Slug.** Genau dasselbe
in cards-drafts/ und seed/. Slug-Validation in
`cards/apps/api/src/lib/marketplace/slug.ts`.
- **Quellen werden nicht mit-versioniert.** URLs in sources.md
bleiben wie sie zum Skill-Run-Zeitpunkt waren. Wenn eine URL
später dead ist, wird sie hier nicht ersetzt — der historische
Wahrheits-Stand bleibt erhalten.
- **`build_cards.py` ist die Wahrheits-Quelle, cards.jsonl der
Output.** Bei Bug-Reports auf einer einzelnen Karte: in
`build_cards.py` korrigieren, neu generieren, neuen Publish.
- **Keine Geheimnisse hier.** Cardecky-PW liegt in `memory/
secret_cardecky_user.md` (chmod 600), nicht hier. Die
`publish/deck.json`-Response enthält die Server-IDs, aber
keine Auth-Token.
## Liste
| Slug | Karten | Lizenz | Stand |
|---|---|---|---|
| `geografie-welt-top30` | 30 | CC0-1.0 | v1.0.0 (2026-05-09) |
| `english-a2-grundwortschatz` | 500 | CC-BY-4.0 | v1.0.0 (2026-05-09) |
| `periodensystem-elemente` | 118 | CC0-1.0 | v1.0.0 (2026-05-09) |
CONTENT_PLAN-Stand: 3 / 20 Phase-1-Seed-Decks done.
## Wenn ein neuer Cardecky-Deck dazu kommt
1. Skill-Run via `/cards-deck`, Workspace unter `~/Documents/cards-drafts/<slug>/`.
2. Nach Stage 5 published: `cp -R ~/Documents/cards-drafts/<slug> docs/marketplace/seed/`.
3. Liste oben aktualisieren.
4. Commit als `seed: cardecky/<slug> v1.0.0 — <count> Karten`.
## Wenn eine Karte falsch ist
1. PR auf `/d/<slug>` direkt im Marketplace einreichen (User-
facing Mechanik), Cardecky merged.
2. `build_cards.py` hier nachziehen, sodass eine Re-Generation
denselben Stand liefern würde.
3. Commit als `seed/<slug>: card F-NNN korrigiert (Spiegelung von PR #X)`.

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"""
Bulk-Mode-Generator für english-a2-grundwortschatz.
Output: cards.jsonl mit 500 basic-reverse-Karten.
"""
import json
import os
import random
OUT = os.path.join(os.path.dirname(__file__), 'cards.jsonl')
# (en, de, [extra_source_refs])
# Default-source ist [1] (Cambridge A2). Extras nur bei Streitfällen.
PAIRS = [
# 1. Familie + Personen (25) — F-001..F-025
('mother', 'Mutter', []),
('father', 'Vater', []),
('sister', 'Schwester', []),
('brother', 'Bruder', []),
('son', 'Sohn', []),
('daughter', 'Tochter', []),
('child', 'Kind', []),
('baby', 'Baby', []),
('family', 'Familie', []),
('parents', 'Eltern', []),
('grandfather', 'Großvater', []),
('grandmother', 'Großmutter', []),
('uncle', 'Onkel', []),
('aunt', 'Tante', []),
('cousin', 'Cousin', []),
('husband', 'Ehemann', []),
('wife', 'Ehefrau', []),
('friend', 'Freund', []),
('neighbor', 'Nachbar', [5]), # US-Spelling
('person', 'Person', []),
('people', 'Leute', []),
('man', 'Mann', []),
('woman', 'Frau', []),
('boy', 'Junge', []),
('girl', 'Mädchen', []),
# 2. Körper (30) — F-026..F-055
('head', 'Kopf', []),
('hair', 'Haar', []),
('face', 'Gesicht', []),
('eye', 'Auge', []),
('ear', 'Ohr', []),
('nose', 'Nase', []),
('mouth', 'Mund', []),
('tooth', 'Zahn', []),
('lip', 'Lippe', []),
('neck', 'Hals', []),
('shoulder', 'Schulter', []),
('arm', 'Arm', []),
('hand', 'Hand', []),
('finger', 'Finger', []),
('leg', 'Bein', []),
('foot', 'Fuß', []),
('knee', 'Knie', []),
('back', 'Rücken', []),
('body', 'Körper', []),
('heart', 'Herz', []),
('skin', 'Haut', []),
('blood', 'Blut', []),
('brain', 'Gehirn', []),
('bone', 'Knochen', []),
('muscle', 'Muskel', []),
('stomach', 'Magen', []),
('chest', 'Brust', []),
('beard', 'Bart', []),
('voice', 'Stimme', []),
('smile', 'Lächeln', []),
# 3. Essen + Trinken (45) — F-056..F-100
('bread', 'Brot', []),
('butter', 'Butter', []),
('cheese', 'Käse', []),
('milk', 'Milch', []),
('water', 'Wasser', []),
('juice', 'Saft', []),
('coffee', 'Kaffee', []),
('tea', 'Tee', []),
('wine', 'Wein', []),
('beer', 'Bier', []),
('sugar', 'Zucker', []),
('salt', 'Salz', []),
('pepper', 'Pfeffer', []),
('oil', 'Öl', []),
('rice', 'Reis', []),
('pasta', 'Nudeln', []),
('soup', 'Suppe', []),
('salad', 'Salat', []),
('meat', 'Fleisch', []),
('chicken', 'Hähnchen', []),
('fish', 'Fisch', []),
('egg', 'Ei', []),
('fruit', 'Obst', []),
('apple', 'Apfel', []),
('banana', 'Banane', []),
('orange', 'Orange', []),
('lemon', 'Zitrone', []),
('vegetable', 'Gemüse', []),
('tomato', 'Tomate', []),
('potato', 'Kartoffel', []),
('carrot', 'Karotte', []),
('onion', 'Zwiebel', []),
('garlic', 'Knoblauch', []),
('mushroom', 'Pilz', []),
('breakfast', 'Frühstück', []),
('lunch', 'Mittagessen', []),
('dinner', 'Abendessen', []),
('snack', 'Snack', []),
('meal', 'Mahlzeit', []),
('eat', 'essen', []),
('drink', 'trinken', []),
('cook', 'kochen', []),
('taste', 'schmecken', []),
('hungry', 'hungrig', []),
('thirsty', 'durstig', []),
# 4. Verben (Alltag) (80) — F-101..F-180
('go', 'gehen', []),
('come', 'kommen', []),
('see', 'sehen', []),
('look', 'schauen', []),
('watch', 'anschauen', []),
('hear', 'hören', []),
('listen', 'zuhören', []),
('speak', 'sprechen', []),
('talk', 'reden', []),
('say', 'sagen', []),
('tell', 'erzählen', []),
('ask', 'fragen', []),
('answer', 'antworten', []),
('learn', 'lernen', []),
('study', 'studieren', []),
('read', 'lesen', []),
('write', 'schreiben', []),
('work', 'arbeiten', []),
('play', 'spielen', []),
('sleep', 'schlafen', []),
('sit', 'sitzen', []),
('stand', 'stehen', []),
('walk', 'laufen', []),
('run', 'rennen', []),
('jump', 'springen', []),
('swim', 'schwimmen', []),
('dance', 'tanzen', []),
('sing', 'singen', []),
('laugh', 'lachen', []),
('cry', 'weinen', []),
('help', 'helfen', []),
('give', 'geben', []),
('take', 'nehmen', []),
('bring', 'bringen', []),
('send', 'schicken', []),
('buy', 'kaufen', []),
('sell', 'verkaufen', []),
('pay', 'bezahlen', []),
('find', 'finden', []),
('lose', 'verlieren', []),
('want', 'wollen', []),
('need', 'brauchen', []),
('like', 'mögen', []),
('love', 'lieben', []),
('hate', 'hassen', []),
('know', 'wissen', []),
('think', 'denken', []),
('believe', 'glauben', []),
('understand', 'verstehen', []),
('remember', 'sich erinnern', []),
('forget', 'vergessen', []),
('try', 'versuchen', []),
('start', 'beginnen', []),
('stop', 'stoppen', []),
('finish', 'beenden', []),
('open', 'öffnen', []),
('close', 'schließen', []),
('push', 'drücken', []),
('pull', 'ziehen', []),
('throw', 'werfen', []),
('catch', 'fangen', []),
('hold', 'halten', []),
('carry', 'tragen', []),
('build', 'bauen', []),
('break', 'zerbrechen', []),
('fix', 'reparieren', []),
('wash', 'waschen', []),
('cut', 'schneiden', []),
('drive', 'fahren', []),
('fly', 'fliegen', []),
('ride', 'reiten', []),
('wait', 'warten', []),
('stay', 'bleiben', []),
('leave', 'verlassen', []),
('meet', 'treffen', []),
('visit', 'besuchen', []),
('follow', 'folgen', []),
('choose', 'wählen', []),
('change', 'ändern', []),
('show', 'zeigen', []),
# 5. Zeit + Datum (35) — F-181..F-215
('day', 'Tag', []),
('night', 'Nacht', []),
('week', 'Woche', []),
('month', 'Monat', []),
('year', 'Jahr', []),
('hour', 'Stunde', []),
('minute', 'Minute', []),
('second', 'Sekunde', []),
('today', 'heute', []),
('tomorrow', 'morgen', []),
('yesterday', 'gestern', []),
('morning', 'Morgen', []),
('afternoon', 'Nachmittag', []),
('evening', 'Abend', []),
('weekend', 'Wochenende', []),
('holiday', 'Feiertag', []),
('time', 'Zeit', []),
('clock', 'Uhr', []),
('date', 'Datum', []),
('Monday', 'Montag', []),
('Tuesday', 'Dienstag', []),
('Wednesday', 'Mittwoch', []),
('Thursday', 'Donnerstag', []),
('Friday', 'Freitag', []),
('Saturday', 'Samstag', []),
('Sunday', 'Sonntag', []),
('January', 'Januar', []),
('February', 'Februar', []),
('March', 'März', []),
('April', 'April', []),
('May', 'Mai', []),
('June', 'Juni', []),
('July', 'Juli', []),
('August', 'August', []),
('September', 'September', []),
# 6. Wetter + Natur (30) — F-216..F-245
('sun', 'Sonne', []),
('rain', 'Regen', []),
('snow', 'Schnee', []),
('wind', 'Wind', []),
('cloud', 'Wolke', []),
('sky', 'Himmel', []),
('storm', 'Sturm', []),
('hot', 'heiß', []),
('cold', 'kalt', []),
('warm', 'warm', []),
('cool', 'kühl', []),
('weather', 'Wetter', []),
('tree', 'Baum', []),
('flower', 'Blume', []),
('grass', 'Gras', []),
('river', 'Fluss', []),
('lake', 'See', []),
('sea', 'Meer', []),
('ocean', 'Ozean', []),
('mountain', 'Berg', []),
('forest', 'Wald', []),
('beach', 'Strand', []),
('leaf', 'Blatt', []),
('fire', 'Feuer', []),
('stone', 'Stein', []),
('sand', 'Sand', []),
('animal', 'Tier', []),
('bird', 'Vogel', []),
('dog', 'Hund', []),
('cat', 'Katze', []),
# 7. Haus + Möbel (35) — F-246..F-280
('house', 'Haus', []),
('home', 'Zuhause', []),
('room', 'Zimmer', []),
('kitchen', 'Küche', []),
('bedroom', 'Schlafzimmer', []),
('bathroom', 'Badezimmer', []),
('living room', 'Wohnzimmer', []),
('garage', 'Garage', []),
('garden', 'Garten', []),
('door', 'Tür', []),
('window', 'Fenster', []),
('floor', 'Boden', []),
('wall', 'Wand', []),
('ceiling', 'Decke', []),
('roof', 'Dach', []),
('bed', 'Bett', []),
('table', 'Tisch', []),
('chair', 'Stuhl', []),
('sofa', 'Sofa', []),
('lamp', 'Lampe', []),
('mirror', 'Spiegel', []),
('bookshelf', 'Bücherregal', []),
('carpet', 'Teppich', []),
('fridge', 'Kühlschrank', []),
('oven', 'Ofen', []),
('sink', 'Spüle', []),
('towel', 'Handtuch', []),
('soap', 'Seife', []),
('key', 'Schlüssel', []),
('address', 'Adresse', []),
('drawer', 'Schublade', []),
('heating', 'Heizung', []),
('fork', 'Gabel', []),
('knife', 'Messer', []),
('spoon', 'Löffel', []),
# 8. Kleidung (20) — F-281..F-300
('shirt', 'Hemd', []),
('T-shirt', 'T-Shirt', []),
('pants', 'Hose', [5]), # US (UK: trousers)
('jeans', 'Jeans', []),
('shoes', 'Schuhe', []),
('socks', 'Socken', []),
('hat', 'Hut', []),
('jacket', 'Jacke', []),
('coat', 'Mantel', []),
('dress', 'Kleid', []),
('skirt', 'Rock', []),
('sweater', 'Pullover', [5]), # US (UK: jumper)
('scarf', 'Schal', []),
('gloves', 'Handschuhe', []),
('belt', 'Gürtel', []),
('tie', 'Krawatte', []),
('suit', 'Anzug', []),
('pocket', 'Tasche', []),
('button', 'Knopf', []),
('glasses', 'Brille', []),
# 9. Schule + Arbeit (35) — F-301..F-335
('school', 'Schule', []),
('university', 'Universität', []),
('teacher', 'Lehrer', []),
('student', 'Studierende', []),
('pupil', 'Schüler', []),
('lesson', 'Unterrichtsstunde', []),
('class', 'Klasse', []),
('classroom', 'Klassenzimmer', []),
('exam', 'Prüfung', []),
('homework', 'Hausaufgabe', []),
('book', 'Buch', []),
('notebook', 'Notizbuch', []),
('pen', 'Stift', []),
('pencil', 'Bleistift', []),
('paper', 'Papier', []),
('board', 'Tafel', []),
('desk', 'Schreibtisch', []),
('dictionary', 'Wörterbuch', []),
('library', 'Bibliothek', []),
('education', 'Bildung', []),
('subject', 'Fach', []),
('math', 'Mathematik', [5]), # US (UK: maths)
('science', 'Naturwissenschaft', []),
('history', 'Geschichte', []),
('language', 'Sprache', []),
('job', 'Job', []),
('office', 'Büro', []),
('company', 'Firma', []),
('meeting', 'Besprechung', []),
('project', 'Projekt', []),
('salary', 'Gehalt', []),
('computer', 'Computer', []),
('email', 'E-Mail', []),
('password', 'Passwort', []),
('deadline', 'Frist', []),
# 10. Verkehr + Reisen (30) — F-336..F-365
('car', 'Auto', []),
('bus', 'Bus', []),
('train', 'Zug', []),
('plane', 'Flugzeug', []),
('ship', 'Schiff', []),
('boat', 'Boot', []),
('bicycle', 'Fahrrad', []),
('taxi', 'Taxi', []),
('motorbike', 'Motorrad', []),
('ticket', 'Ticket', []),
('station', 'Bahnhof', []),
('airport', 'Flughafen', []),
('port', 'Hafen', []),
('journey', 'Reise', []),
('trip', 'Ausflug', []),
('travel', 'reisen', []),
('vacation', 'Urlaub', [5]), # US (UK: holiday — schon F-196)
('hotel', 'Hotel', []),
('booking', 'Buchung', []),
('map', 'Karte', []),
('road', 'Straße', []),
('highway', 'Autobahn', []),
('traffic', 'Verkehr', []),
('driver', 'Fahrer', []),
('passenger', 'Passagier', []),
('luggage', 'Gepäck', []),
('suitcase', 'Koffer', []),
('passport', 'Reisepass', []),
('visa', 'Visum', []),
('flight', 'Flug', []),
# 11. Stadt + Orte (30) — F-366..F-395
('city', 'Stadt', []),
('town', 'Kleinstadt', []),
('village', 'Dorf', []),
('avenue', 'Allee', []),
('square', 'Platz', []),
('park', 'Park', []),
('market', 'Markt', []),
('shop', 'Geschäft', []),
('store', 'Laden', []),
('supermarket', 'Supermarkt', []),
('restaurant', 'Restaurant', []),
('café', 'Café', []),
('bar', 'Bar', []),
('cinema', 'Kino', []),
('theater', 'Theater', [5]), # US (UK: theatre)
('museum', 'Museum', []),
('hospital', 'Krankenhaus', []),
('doctor', 'Arzt', []),
('dentist', 'Zahnarzt', []),
('pharmacy', 'Apotheke', []),
('bank', 'Bank', []),
('post office', 'Post', []),
('church', 'Kirche', []),
('factory', 'Fabrik', []),
('building', 'Gebäude', []),
('police station', 'Polizeiwache', []),
('playground', 'Spielplatz', []),
('bridge', 'Brücke', []),
('area', 'Gebiet', []),
('neighborhood', 'Nachbarschaft', [5]), # US (UK: neighbourhood)
# 12. Geld + Einkaufen (20) — F-396..F-415
('money', 'Geld', []),
('price', 'Preis', []),
('cost', 'Kosten', []),
('cheap', 'billig', []),
('expensive', 'teuer', []),
('free', 'kostenlos', []),
('discount', 'Rabatt', []),
('customer', 'Kunde', []),
('seller', 'Verkäufer', []),
('receipt', 'Quittung', []),
('coin', 'Münze', []),
('bill', 'Rechnung', []),
('credit card', 'Kreditkarte', []),
('cash', 'Bargeld', []),
('tax', 'Steuer', []),
('shopping list', 'Einkaufsliste', []),
('sale', 'Verkauf', []),
('quantity', 'Menge', []),
('choice', 'Auswahl', []),
('payment', 'Zahlung', []),
# 13. Adjektive (50) — F-416..F-465
('good', 'gut', []),
('bad', 'schlecht', []),
('big', 'groß', []),
('small', 'klein', []),
('huge', 'riesig', []),
('tiny', 'winzig', []),
('new', 'neu', []),
('old', 'alt', []),
('young', 'jung', []),
('high', 'hoch', []),
('short', 'kurz', []),
('long', 'lang', []),
('fast', 'schnell', []),
('slow', 'langsam', []),
('happy', 'glücklich', []),
('sad', 'traurig', []),
('angry', 'wütend', []),
('tired', 'müde', []),
('busy', 'beschäftigt', []),
('easy', 'einfach', []),
('difficult', 'schwierig', []),
('hard', 'hart', []),
('soft', 'weich', []),
('strong', 'stark', []),
('weak', 'schwach', []),
('rich', 'reich', []),
('poor', 'arm', []),
('beautiful', 'schön', []),
('ugly', 'hässlich', []),
('nice', 'nett', []),
('polite', 'höflich', []),
('rude', 'unhöflich', []),
('clean', 'sauber', []),
('dirty', 'schmutzig', []),
('dry', 'trocken', []),
('wet', 'nass', []),
('light', 'leicht', []),
('dark', 'dunkel', []),
('heavy', 'schwer', []),
('full', 'voll', []),
('empty', 'leer', []),
('bright', 'hell', []),
('quiet', 'leise', []),
('loud', 'laut', []),
('sweet', 'süß', []),
('important', 'wichtig', []),
('popular', 'beliebt', []),
('simple', 'simpel', []),
('calm', 'ruhig', []),
('modern', 'modern', []),
# 14. Adverbien (10) — F-466..F-475
('always', 'immer', []),
('never', 'nie', []),
('often', 'oft', []),
('sometimes', 'manchmal', []),
('usually', 'normalerweise', []),
('here', 'hier', []),
('there', 'dort', []),
('now', 'jetzt', []),
('also', 'auch', []),
('again', 'wieder', []),
# 15. Zahlen + Farben (25) — F-476..F-500
('one', 'eins', []),
('two', 'zwei', []),
('three', 'drei', []),
('four', 'vier', []),
('five', 'fünf', []),
('six', 'sechs', []),
('seven', 'sieben', []),
('eight', 'acht', []),
('nine', 'neun', []),
('ten', 'zehn', []),
('hundred', 'hundert', []),
('thousand', 'tausend', []),
('first', 'erste', []),
('third', 'dritte', []),
('last', 'letzte', []),
('red', 'rot', []),
('blue', 'blau', []),
('green', 'grün', []),
('yellow', 'gelb', []),
('purple', 'lila', []),
('white', 'weiß', []),
('black', 'schwarz', []),
('gray', 'grau', [5]), # US (UK: grey)
('brown', 'braun', []),
('pink', 'rosa', []),
]
# Sanity-Check: keine Front-Duplikate
fronts = [p[0] for p in PAIRS]
duplicates = [f for f in fronts if fronts.count(f) > 1]
if duplicates:
raise SystemExit(f'duplicate fronts: {set(duplicates)}')
assert len(PAIRS) == 500, f'expected 500 pairs, got {len(PAIRS)}'
with open(OUT, 'w', encoding='utf-8') as f:
for i, (en, de, extra_refs) in enumerate(PAIRS, 1):
source_refs = [1] + extra_refs
card = {
'id': f'F-{i:03d}',
'type': 'basic-reverse',
'fields': {'front': en, 'back': de},
'source_refs': source_refs,
}
f.write(json.dumps(card, ensure_ascii=False) + '\n')
# Sampling für Reviewer-Stop
random.seed(42) # deterministisch für Reproduzierbarkeit
sample = random.sample(PAIRS, 10)
print(f'wrote {len(PAIRS)} pairs to {OUT}')
print()
print('=== 10 zufällige Karten (Sampling für Reviewer-Stop) ===')
for en, de, extras in sample:
refs = '[1]' + (' [' + ','.join(map(str, extras)) + ']' if extras else '')
print(f' {en:25s}{de:25s} {refs}')

View file

@ -0,0 +1,500 @@
{"id": "F-001", "type": "basic-reverse", "fields": {"front": "mother", "back": "Mutter"}, "source_refs": [1]}
{"id": "F-002", "type": "basic-reverse", "fields": {"front": "father", "back": "Vater"}, "source_refs": [1]}
{"id": "F-003", "type": "basic-reverse", "fields": {"front": "sister", "back": "Schwester"}, "source_refs": [1]}
{"id": "F-004", "type": "basic-reverse", "fields": {"front": "brother", "back": "Bruder"}, "source_refs": [1]}
{"id": "F-005", "type": "basic-reverse", "fields": {"front": "son", "back": "Sohn"}, "source_refs": [1]}
{"id": "F-006", "type": "basic-reverse", "fields": {"front": "daughter", "back": "Tochter"}, "source_refs": [1]}
{"id": "F-007", "type": "basic-reverse", "fields": {"front": "child", "back": "Kind"}, "source_refs": [1]}
{"id": "F-008", "type": "basic-reverse", "fields": {"front": "baby", "back": "Baby"}, "source_refs": [1]}
{"id": "F-009", "type": "basic-reverse", "fields": {"front": "family", "back": "Familie"}, "source_refs": [1]}
{"id": "F-010", "type": "basic-reverse", "fields": {"front": "parents", "back": "Eltern"}, "source_refs": [1]}
{"id": "F-011", "type": "basic-reverse", "fields": {"front": "grandfather", "back": "Großvater"}, "source_refs": [1]}
{"id": "F-012", "type": "basic-reverse", "fields": {"front": "grandmother", "back": "Großmutter"}, "source_refs": [1]}
{"id": "F-013", "type": "basic-reverse", "fields": {"front": "uncle", "back": "Onkel"}, "source_refs": [1]}
{"id": "F-014", "type": "basic-reverse", "fields": {"front": "aunt", "back": "Tante"}, "source_refs": [1]}
{"id": "F-015", "type": "basic-reverse", "fields": {"front": "cousin", "back": "Cousin"}, "source_refs": [1]}
{"id": "F-016", "type": "basic-reverse", "fields": {"front": "husband", "back": "Ehemann"}, "source_refs": [1]}
{"id": "F-017", "type": "basic-reverse", "fields": {"front": "wife", "back": "Ehefrau"}, "source_refs": [1]}
{"id": "F-018", "type": "basic-reverse", "fields": {"front": "friend", "back": "Freund"}, "source_refs": [1]}
{"id": "F-019", "type": "basic-reverse", "fields": {"front": "neighbor", "back": "Nachbar"}, "source_refs": [1, 5]}
{"id": "F-020", "type": "basic-reverse", "fields": {"front": "person", "back": "Person"}, "source_refs": [1]}
{"id": "F-021", "type": "basic-reverse", "fields": {"front": "people", "back": "Leute"}, "source_refs": [1]}
{"id": "F-022", "type": "basic-reverse", "fields": {"front": "man", "back": "Mann"}, "source_refs": [1]}
{"id": "F-023", "type": "basic-reverse", "fields": {"front": "woman", "back": "Frau"}, "source_refs": [1]}
{"id": "F-024", "type": "basic-reverse", "fields": {"front": "boy", "back": "Junge"}, "source_refs": [1]}
{"id": "F-025", "type": "basic-reverse", "fields": {"front": "girl", "back": "Mädchen"}, "source_refs": [1]}
{"id": "F-026", "type": "basic-reverse", "fields": {"front": "head", "back": "Kopf"}, "source_refs": [1]}
{"id": "F-027", "type": "basic-reverse", "fields": {"front": "hair", "back": "Haar"}, "source_refs": [1]}
{"id": "F-028", "type": "basic-reverse", "fields": {"front": "face", "back": "Gesicht"}, "source_refs": [1]}
{"id": "F-029", "type": "basic-reverse", "fields": {"front": "eye", "back": "Auge"}, "source_refs": [1]}
{"id": "F-030", "type": "basic-reverse", "fields": {"front": "ear", "back": "Ohr"}, "source_refs": [1]}
{"id": "F-031", "type": "basic-reverse", "fields": {"front": "nose", "back": "Nase"}, "source_refs": [1]}
{"id": "F-032", "type": "basic-reverse", "fields": {"front": "mouth", "back": "Mund"}, "source_refs": [1]}
{"id": "F-033", "type": "basic-reverse", "fields": {"front": "tooth", "back": "Zahn"}, "source_refs": [1]}
{"id": "F-034", "type": "basic-reverse", "fields": {"front": "lip", "back": "Lippe"}, "source_refs": [1]}
{"id": "F-035", "type": "basic-reverse", "fields": {"front": "neck", "back": "Hals"}, "source_refs": [1]}
{"id": "F-036", "type": "basic-reverse", "fields": {"front": "shoulder", "back": "Schulter"}, "source_refs": [1]}
{"id": "F-037", "type": "basic-reverse", "fields": {"front": "arm", "back": "Arm"}, "source_refs": [1]}
{"id": "F-038", "type": "basic-reverse", "fields": {"front": "hand", "back": "Hand"}, "source_refs": [1]}
{"id": "F-039", "type": "basic-reverse", "fields": {"front": "finger", "back": "Finger"}, "source_refs": [1]}
{"id": "F-040", "type": "basic-reverse", "fields": {"front": "leg", "back": "Bein"}, "source_refs": [1]}
{"id": "F-041", "type": "basic-reverse", "fields": {"front": "foot", "back": "Fuß"}, "source_refs": [1]}
{"id": "F-042", "type": "basic-reverse", "fields": {"front": "knee", "back": "Knie"}, "source_refs": [1]}
{"id": "F-043", "type": "basic-reverse", "fields": {"front": "back", "back": "Rücken"}, "source_refs": [1]}
{"id": "F-044", "type": "basic-reverse", "fields": {"front": "body", "back": "Körper"}, "source_refs": [1]}
{"id": "F-045", "type": "basic-reverse", "fields": {"front": "heart", "back": "Herz"}, "source_refs": [1]}
{"id": "F-046", "type": "basic-reverse", "fields": {"front": "skin", "back": "Haut"}, "source_refs": [1]}
{"id": "F-047", "type": "basic-reverse", "fields": {"front": "blood", "back": "Blut"}, "source_refs": [1]}
{"id": "F-048", "type": "basic-reverse", "fields": {"front": "brain", "back": "Gehirn"}, "source_refs": [1]}
{"id": "F-049", "type": "basic-reverse", "fields": {"front": "bone", "back": "Knochen"}, "source_refs": [1]}
{"id": "F-050", "type": "basic-reverse", "fields": {"front": "muscle", "back": "Muskel"}, "source_refs": [1]}
{"id": "F-051", "type": "basic-reverse", "fields": {"front": "stomach", "back": "Magen"}, "source_refs": [1]}
{"id": "F-052", "type": "basic-reverse", "fields": {"front": "chest", "back": "Brust"}, "source_refs": [1]}
{"id": "F-053", "type": "basic-reverse", "fields": {"front": "beard", "back": "Bart"}, "source_refs": [1]}
{"id": "F-054", "type": "basic-reverse", "fields": {"front": "voice", "back": "Stimme"}, "source_refs": [1]}
{"id": "F-055", "type": "basic-reverse", "fields": {"front": "smile", "back": "Lächeln"}, "source_refs": [1]}
{"id": "F-056", "type": "basic-reverse", "fields": {"front": "bread", "back": "Brot"}, "source_refs": [1]}
{"id": "F-057", "type": "basic-reverse", "fields": {"front": "butter", "back": "Butter"}, "source_refs": [1]}
{"id": "F-058", "type": "basic-reverse", "fields": {"front": "cheese", "back": "Käse"}, "source_refs": [1]}
{"id": "F-059", "type": "basic-reverse", "fields": {"front": "milk", "back": "Milch"}, "source_refs": [1]}
{"id": "F-060", "type": "basic-reverse", "fields": {"front": "water", "back": "Wasser"}, "source_refs": [1]}
{"id": "F-061", "type": "basic-reverse", "fields": {"front": "juice", "back": "Saft"}, "source_refs": [1]}
{"id": "F-062", "type": "basic-reverse", "fields": {"front": "coffee", "back": "Kaffee"}, "source_refs": [1]}
{"id": "F-063", "type": "basic-reverse", "fields": {"front": "tea", "back": "Tee"}, "source_refs": [1]}
{"id": "F-064", "type": "basic-reverse", "fields": {"front": "wine", "back": "Wein"}, "source_refs": [1]}
{"id": "F-065", "type": "basic-reverse", "fields": {"front": "beer", "back": "Bier"}, "source_refs": [1]}
{"id": "F-066", "type": "basic-reverse", "fields": {"front": "sugar", "back": "Zucker"}, "source_refs": [1]}
{"id": "F-067", "type": "basic-reverse", "fields": {"front": "salt", "back": "Salz"}, "source_refs": [1]}
{"id": "F-068", "type": "basic-reverse", "fields": {"front": "pepper", "back": "Pfeffer"}, "source_refs": [1]}
{"id": "F-069", "type": "basic-reverse", "fields": {"front": "oil", "back": "Öl"}, "source_refs": [1]}
{"id": "F-070", "type": "basic-reverse", "fields": {"front": "rice", "back": "Reis"}, "source_refs": [1]}
{"id": "F-071", "type": "basic-reverse", "fields": {"front": "pasta", "back": "Nudeln"}, "source_refs": [1]}
{"id": "F-072", "type": "basic-reverse", "fields": {"front": "soup", "back": "Suppe"}, "source_refs": [1]}
{"id": "F-073", "type": "basic-reverse", "fields": {"front": "salad", "back": "Salat"}, "source_refs": [1]}
{"id": "F-074", "type": "basic-reverse", "fields": {"front": "meat", "back": "Fleisch"}, "source_refs": [1]}
{"id": "F-075", "type": "basic-reverse", "fields": {"front": "chicken", "back": "Hähnchen"}, "source_refs": [1]}
{"id": "F-076", "type": "basic-reverse", "fields": {"front": "fish", "back": "Fisch"}, "source_refs": [1]}
{"id": "F-077", "type": "basic-reverse", "fields": {"front": "egg", "back": "Ei"}, "source_refs": [1]}
{"id": "F-078", "type": "basic-reverse", "fields": {"front": "fruit", "back": "Obst"}, "source_refs": [1]}
{"id": "F-079", "type": "basic-reverse", "fields": {"front": "apple", "back": "Apfel"}, "source_refs": [1]}
{"id": "F-080", "type": "basic-reverse", "fields": {"front": "banana", "back": "Banane"}, "source_refs": [1]}
{"id": "F-081", "type": "basic-reverse", "fields": {"front": "orange", "back": "Orange"}, "source_refs": [1]}
{"id": "F-082", "type": "basic-reverse", "fields": {"front": "lemon", "back": "Zitrone"}, "source_refs": [1]}
{"id": "F-083", "type": "basic-reverse", "fields": {"front": "vegetable", "back": "Gemüse"}, "source_refs": [1]}
{"id": "F-084", "type": "basic-reverse", "fields": {"front": "tomato", "back": "Tomate"}, "source_refs": [1]}
{"id": "F-085", "type": "basic-reverse", "fields": {"front": "potato", "back": "Kartoffel"}, "source_refs": [1]}
{"id": "F-086", "type": "basic-reverse", "fields": {"front": "carrot", "back": "Karotte"}, "source_refs": [1]}
{"id": "F-087", "type": "basic-reverse", "fields": {"front": "onion", "back": "Zwiebel"}, "source_refs": [1]}
{"id": "F-088", "type": "basic-reverse", "fields": {"front": "garlic", "back": "Knoblauch"}, "source_refs": [1]}
{"id": "F-089", "type": "basic-reverse", "fields": {"front": "mushroom", "back": "Pilz"}, "source_refs": [1]}
{"id": "F-090", "type": "basic-reverse", "fields": {"front": "breakfast", "back": "Frühstück"}, "source_refs": [1]}
{"id": "F-091", "type": "basic-reverse", "fields": {"front": "lunch", "back": "Mittagessen"}, "source_refs": [1]}
{"id": "F-092", "type": "basic-reverse", "fields": {"front": "dinner", "back": "Abendessen"}, "source_refs": [1]}
{"id": "F-093", "type": "basic-reverse", "fields": {"front": "snack", "back": "Snack"}, "source_refs": [1]}
{"id": "F-094", "type": "basic-reverse", "fields": {"front": "meal", "back": "Mahlzeit"}, "source_refs": [1]}
{"id": "F-095", "type": "basic-reverse", "fields": {"front": "eat", "back": "essen"}, "source_refs": [1]}
{"id": "F-096", "type": "basic-reverse", "fields": {"front": "drink", "back": "trinken"}, "source_refs": [1]}
{"id": "F-097", "type": "basic-reverse", "fields": {"front": "cook", "back": "kochen"}, "source_refs": [1]}
{"id": "F-098", "type": "basic-reverse", "fields": {"front": "taste", "back": "schmecken"}, "source_refs": [1]}
{"id": "F-099", "type": "basic-reverse", "fields": {"front": "hungry", "back": "hungrig"}, "source_refs": [1]}
{"id": "F-100", "type": "basic-reverse", "fields": {"front": "thirsty", "back": "durstig"}, "source_refs": [1]}
{"id": "F-101", "type": "basic-reverse", "fields": {"front": "go", "back": "gehen"}, "source_refs": [1]}
{"id": "F-102", "type": "basic-reverse", "fields": {"front": "come", "back": "kommen"}, "source_refs": [1]}
{"id": "F-103", "type": "basic-reverse", "fields": {"front": "see", "back": "sehen"}, "source_refs": [1]}
{"id": "F-104", "type": "basic-reverse", "fields": {"front": "look", "back": "schauen"}, "source_refs": [1]}
{"id": "F-105", "type": "basic-reverse", "fields": {"front": "watch", "back": "anschauen"}, "source_refs": [1]}
{"id": "F-106", "type": "basic-reverse", "fields": {"front": "hear", "back": "hören"}, "source_refs": [1]}
{"id": "F-107", "type": "basic-reverse", "fields": {"front": "listen", "back": "zuhören"}, "source_refs": [1]}
{"id": "F-108", "type": "basic-reverse", "fields": {"front": "speak", "back": "sprechen"}, "source_refs": [1]}
{"id": "F-109", "type": "basic-reverse", "fields": {"front": "talk", "back": "reden"}, "source_refs": [1]}
{"id": "F-110", "type": "basic-reverse", "fields": {"front": "say", "back": "sagen"}, "source_refs": [1]}
{"id": "F-111", "type": "basic-reverse", "fields": {"front": "tell", "back": "erzählen"}, "source_refs": [1]}
{"id": "F-112", "type": "basic-reverse", "fields": {"front": "ask", "back": "fragen"}, "source_refs": [1]}
{"id": "F-113", "type": "basic-reverse", "fields": {"front": "answer", "back": "antworten"}, "source_refs": [1]}
{"id": "F-114", "type": "basic-reverse", "fields": {"front": "learn", "back": "lernen"}, "source_refs": [1]}
{"id": "F-115", "type": "basic-reverse", "fields": {"front": "study", "back": "studieren"}, "source_refs": [1]}
{"id": "F-116", "type": "basic-reverse", "fields": {"front": "read", "back": "lesen"}, "source_refs": [1]}
{"id": "F-117", "type": "basic-reverse", "fields": {"front": "write", "back": "schreiben"}, "source_refs": [1]}
{"id": "F-118", "type": "basic-reverse", "fields": {"front": "work", "back": "arbeiten"}, "source_refs": [1]}
{"id": "F-119", "type": "basic-reverse", "fields": {"front": "play", "back": "spielen"}, "source_refs": [1]}
{"id": "F-120", "type": "basic-reverse", "fields": {"front": "sleep", "back": "schlafen"}, "source_refs": [1]}
{"id": "F-121", "type": "basic-reverse", "fields": {"front": "sit", "back": "sitzen"}, "source_refs": [1]}
{"id": "F-122", "type": "basic-reverse", "fields": {"front": "stand", "back": "stehen"}, "source_refs": [1]}
{"id": "F-123", "type": "basic-reverse", "fields": {"front": "walk", "back": "laufen"}, "source_refs": [1]}
{"id": "F-124", "type": "basic-reverse", "fields": {"front": "run", "back": "rennen"}, "source_refs": [1]}
{"id": "F-125", "type": "basic-reverse", "fields": {"front": "jump", "back": "springen"}, "source_refs": [1]}
{"id": "F-126", "type": "basic-reverse", "fields": {"front": "swim", "back": "schwimmen"}, "source_refs": [1]}
{"id": "F-127", "type": "basic-reverse", "fields": {"front": "dance", "back": "tanzen"}, "source_refs": [1]}
{"id": "F-128", "type": "basic-reverse", "fields": {"front": "sing", "back": "singen"}, "source_refs": [1]}
{"id": "F-129", "type": "basic-reverse", "fields": {"front": "laugh", "back": "lachen"}, "source_refs": [1]}
{"id": "F-130", "type": "basic-reverse", "fields": {"front": "cry", "back": "weinen"}, "source_refs": [1]}
{"id": "F-131", "type": "basic-reverse", "fields": {"front": "help", "back": "helfen"}, "source_refs": [1]}
{"id": "F-132", "type": "basic-reverse", "fields": {"front": "give", "back": "geben"}, "source_refs": [1]}
{"id": "F-133", "type": "basic-reverse", "fields": {"front": "take", "back": "nehmen"}, "source_refs": [1]}
{"id": "F-134", "type": "basic-reverse", "fields": {"front": "bring", "back": "bringen"}, "source_refs": [1]}
{"id": "F-135", "type": "basic-reverse", "fields": {"front": "send", "back": "schicken"}, "source_refs": [1]}
{"id": "F-136", "type": "basic-reverse", "fields": {"front": "buy", "back": "kaufen"}, "source_refs": [1]}
{"id": "F-137", "type": "basic-reverse", "fields": {"front": "sell", "back": "verkaufen"}, "source_refs": [1]}
{"id": "F-138", "type": "basic-reverse", "fields": {"front": "pay", "back": "bezahlen"}, "source_refs": [1]}
{"id": "F-139", "type": "basic-reverse", "fields": {"front": "find", "back": "finden"}, "source_refs": [1]}
{"id": "F-140", "type": "basic-reverse", "fields": {"front": "lose", "back": "verlieren"}, "source_refs": [1]}
{"id": "F-141", "type": "basic-reverse", "fields": {"front": "want", "back": "wollen"}, "source_refs": [1]}
{"id": "F-142", "type": "basic-reverse", "fields": {"front": "need", "back": "brauchen"}, "source_refs": [1]}
{"id": "F-143", "type": "basic-reverse", "fields": {"front": "like", "back": "mögen"}, "source_refs": [1]}
{"id": "F-144", "type": "basic-reverse", "fields": {"front": "love", "back": "lieben"}, "source_refs": [1]}
{"id": "F-145", "type": "basic-reverse", "fields": {"front": "hate", "back": "hassen"}, "source_refs": [1]}
{"id": "F-146", "type": "basic-reverse", "fields": {"front": "know", "back": "wissen"}, "source_refs": [1]}
{"id": "F-147", "type": "basic-reverse", "fields": {"front": "think", "back": "denken"}, "source_refs": [1]}
{"id": "F-148", "type": "basic-reverse", "fields": {"front": "believe", "back": "glauben"}, "source_refs": [1]}
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{"id": "F-335", "type": "basic-reverse", "fields": {"front": "deadline", "back": "Frist"}, "source_refs": [1]}
{"id": "F-336", "type": "basic-reverse", "fields": {"front": "car", "back": "Auto"}, "source_refs": [1]}
{"id": "F-337", "type": "basic-reverse", "fields": {"front": "bus", "back": "Bus"}, "source_refs": [1]}
{"id": "F-338", "type": "basic-reverse", "fields": {"front": "train", "back": "Zug"}, "source_refs": [1]}
{"id": "F-339", "type": "basic-reverse", "fields": {"front": "plane", "back": "Flugzeug"}, "source_refs": [1]}
{"id": "F-340", "type": "basic-reverse", "fields": {"front": "ship", "back": "Schiff"}, "source_refs": [1]}
{"id": "F-341", "type": "basic-reverse", "fields": {"front": "boat", "back": "Boot"}, "source_refs": [1]}
{"id": "F-342", "type": "basic-reverse", "fields": {"front": "bicycle", "back": "Fahrrad"}, "source_refs": [1]}
{"id": "F-343", "type": "basic-reverse", "fields": {"front": "taxi", "back": "Taxi"}, "source_refs": [1]}
{"id": "F-344", "type": "basic-reverse", "fields": {"front": "motorbike", "back": "Motorrad"}, "source_refs": [1]}
{"id": "F-345", "type": "basic-reverse", "fields": {"front": "ticket", "back": "Ticket"}, "source_refs": [1]}
{"id": "F-346", "type": "basic-reverse", "fields": {"front": "station", "back": "Bahnhof"}, "source_refs": [1]}
{"id": "F-347", "type": "basic-reverse", "fields": {"front": "airport", "back": "Flughafen"}, "source_refs": [1]}
{"id": "F-348", "type": "basic-reverse", "fields": {"front": "port", "back": "Hafen"}, "source_refs": [1]}
{"id": "F-349", "type": "basic-reverse", "fields": {"front": "journey", "back": "Reise"}, "source_refs": [1]}
{"id": "F-350", "type": "basic-reverse", "fields": {"front": "trip", "back": "Ausflug"}, "source_refs": [1]}
{"id": "F-351", "type": "basic-reverse", "fields": {"front": "travel", "back": "reisen"}, "source_refs": [1]}
{"id": "F-352", "type": "basic-reverse", "fields": {"front": "vacation", "back": "Urlaub"}, "source_refs": [1, 5]}
{"id": "F-353", "type": "basic-reverse", "fields": {"front": "hotel", "back": "Hotel"}, "source_refs": [1]}
{"id": "F-354", "type": "basic-reverse", "fields": {"front": "booking", "back": "Buchung"}, "source_refs": [1]}
{"id": "F-355", "type": "basic-reverse", "fields": {"front": "map", "back": "Karte"}, "source_refs": [1]}
{"id": "F-356", "type": "basic-reverse", "fields": {"front": "road", "back": "Straße"}, "source_refs": [1]}
{"id": "F-357", "type": "basic-reverse", "fields": {"front": "highway", "back": "Autobahn"}, "source_refs": [1]}
{"id": "F-358", "type": "basic-reverse", "fields": {"front": "traffic", "back": "Verkehr"}, "source_refs": [1]}
{"id": "F-359", "type": "basic-reverse", "fields": {"front": "driver", "back": "Fahrer"}, "source_refs": [1]}
{"id": "F-360", "type": "basic-reverse", "fields": {"front": "passenger", "back": "Passagier"}, "source_refs": [1]}
{"id": "F-361", "type": "basic-reverse", "fields": {"front": "luggage", "back": "Gepäck"}, "source_refs": [1]}
{"id": "F-362", "type": "basic-reverse", "fields": {"front": "suitcase", "back": "Koffer"}, "source_refs": [1]}
{"id": "F-363", "type": "basic-reverse", "fields": {"front": "passport", "back": "Reisepass"}, "source_refs": [1]}
{"id": "F-364", "type": "basic-reverse", "fields": {"front": "visa", "back": "Visum"}, "source_refs": [1]}
{"id": "F-365", "type": "basic-reverse", "fields": {"front": "flight", "back": "Flug"}, "source_refs": [1]}
{"id": "F-366", "type": "basic-reverse", "fields": {"front": "city", "back": "Stadt"}, "source_refs": [1]}
{"id": "F-367", "type": "basic-reverse", "fields": {"front": "town", "back": "Kleinstadt"}, "source_refs": [1]}
{"id": "F-368", "type": "basic-reverse", "fields": {"front": "village", "back": "Dorf"}, "source_refs": [1]}
{"id": "F-369", "type": "basic-reverse", "fields": {"front": "avenue", "back": "Allee"}, "source_refs": [1]}
{"id": "F-370", "type": "basic-reverse", "fields": {"front": "square", "back": "Platz"}, "source_refs": [1]}
{"id": "F-371", "type": "basic-reverse", "fields": {"front": "park", "back": "Park"}, "source_refs": [1]}
{"id": "F-372", "type": "basic-reverse", "fields": {"front": "market", "back": "Markt"}, "source_refs": [1]}
{"id": "F-373", "type": "basic-reverse", "fields": {"front": "shop", "back": "Geschäft"}, "source_refs": [1]}
{"id": "F-374", "type": "basic-reverse", "fields": {"front": "store", "back": "Laden"}, "source_refs": [1]}
{"id": "F-375", "type": "basic-reverse", "fields": {"front": "supermarket", "back": "Supermarkt"}, "source_refs": [1]}
{"id": "F-376", "type": "basic-reverse", "fields": {"front": "restaurant", "back": "Restaurant"}, "source_refs": [1]}
{"id": "F-377", "type": "basic-reverse", "fields": {"front": "café", "back": "Café"}, "source_refs": [1]}
{"id": "F-378", "type": "basic-reverse", "fields": {"front": "bar", "back": "Bar"}, "source_refs": [1]}
{"id": "F-379", "type": "basic-reverse", "fields": {"front": "cinema", "back": "Kino"}, "source_refs": [1]}
{"id": "F-380", "type": "basic-reverse", "fields": {"front": "theater", "back": "Theater"}, "source_refs": [1, 5]}
{"id": "F-381", "type": "basic-reverse", "fields": {"front": "museum", "back": "Museum"}, "source_refs": [1]}
{"id": "F-382", "type": "basic-reverse", "fields": {"front": "hospital", "back": "Krankenhaus"}, "source_refs": [1]}
{"id": "F-383", "type": "basic-reverse", "fields": {"front": "doctor", "back": "Arzt"}, "source_refs": [1]}
{"id": "F-384", "type": "basic-reverse", "fields": {"front": "dentist", "back": "Zahnarzt"}, "source_refs": [1]}
{"id": "F-385", "type": "basic-reverse", "fields": {"front": "pharmacy", "back": "Apotheke"}, "source_refs": [1]}
{"id": "F-386", "type": "basic-reverse", "fields": {"front": "bank", "back": "Bank"}, "source_refs": [1]}
{"id": "F-387", "type": "basic-reverse", "fields": {"front": "post office", "back": "Post"}, "source_refs": [1]}
{"id": "F-388", "type": "basic-reverse", "fields": {"front": "church", "back": "Kirche"}, "source_refs": [1]}
{"id": "F-389", "type": "basic-reverse", "fields": {"front": "factory", "back": "Fabrik"}, "source_refs": [1]}
{"id": "F-390", "type": "basic-reverse", "fields": {"front": "building", "back": "Gebäude"}, "source_refs": [1]}
{"id": "F-391", "type": "basic-reverse", "fields": {"front": "police station", "back": "Polizeiwache"}, "source_refs": [1]}
{"id": "F-392", "type": "basic-reverse", "fields": {"front": "playground", "back": "Spielplatz"}, "source_refs": [1]}
{"id": "F-393", "type": "basic-reverse", "fields": {"front": "bridge", "back": "Brücke"}, "source_refs": [1]}
{"id": "F-394", "type": "basic-reverse", "fields": {"front": "area", "back": "Gebiet"}, "source_refs": [1]}
{"id": "F-395", "type": "basic-reverse", "fields": {"front": "neighborhood", "back": "Nachbarschaft"}, "source_refs": [1, 5]}
{"id": "F-396", "type": "basic-reverse", "fields": {"front": "money", "back": "Geld"}, "source_refs": [1]}
{"id": "F-397", "type": "basic-reverse", "fields": {"front": "price", "back": "Preis"}, "source_refs": [1]}
{"id": "F-398", "type": "basic-reverse", "fields": {"front": "cost", "back": "Kosten"}, "source_refs": [1]}
{"id": "F-399", "type": "basic-reverse", "fields": {"front": "cheap", "back": "billig"}, "source_refs": [1]}
{"id": "F-400", "type": "basic-reverse", "fields": {"front": "expensive", "back": "teuer"}, "source_refs": [1]}
{"id": "F-401", "type": "basic-reverse", "fields": {"front": "free", "back": "kostenlos"}, "source_refs": [1]}
{"id": "F-402", "type": "basic-reverse", "fields": {"front": "discount", "back": "Rabatt"}, "source_refs": [1]}
{"id": "F-403", "type": "basic-reverse", "fields": {"front": "customer", "back": "Kunde"}, "source_refs": [1]}
{"id": "F-404", "type": "basic-reverse", "fields": {"front": "seller", "back": "Verkäufer"}, "source_refs": [1]}
{"id": "F-405", "type": "basic-reverse", "fields": {"front": "receipt", "back": "Quittung"}, "source_refs": [1]}
{"id": "F-406", "type": "basic-reverse", "fields": {"front": "coin", "back": "Münze"}, "source_refs": [1]}
{"id": "F-407", "type": "basic-reverse", "fields": {"front": "bill", "back": "Rechnung"}, "source_refs": [1]}
{"id": "F-408", "type": "basic-reverse", "fields": {"front": "credit card", "back": "Kreditkarte"}, "source_refs": [1]}
{"id": "F-409", "type": "basic-reverse", "fields": {"front": "cash", "back": "Bargeld"}, "source_refs": [1]}
{"id": "F-410", "type": "basic-reverse", "fields": {"front": "tax", "back": "Steuer"}, "source_refs": [1]}
{"id": "F-411", "type": "basic-reverse", "fields": {"front": "shopping list", "back": "Einkaufsliste"}, "source_refs": [1]}
{"id": "F-412", "type": "basic-reverse", "fields": {"front": "sale", "back": "Verkauf"}, "source_refs": [1]}
{"id": "F-413", "type": "basic-reverse", "fields": {"front": "quantity", "back": "Menge"}, "source_refs": [1]}
{"id": "F-414", "type": "basic-reverse", "fields": {"front": "choice", "back": "Auswahl"}, "source_refs": [1]}
{"id": "F-415", "type": "basic-reverse", "fields": {"front": "payment", "back": "Zahlung"}, "source_refs": [1]}
{"id": "F-416", "type": "basic-reverse", "fields": {"front": "good", "back": "gut"}, "source_refs": [1]}
{"id": "F-417", "type": "basic-reverse", "fields": {"front": "bad", "back": "schlecht"}, "source_refs": [1]}
{"id": "F-418", "type": "basic-reverse", "fields": {"front": "big", "back": "groß"}, "source_refs": [1]}
{"id": "F-419", "type": "basic-reverse", "fields": {"front": "small", "back": "klein"}, "source_refs": [1]}
{"id": "F-420", "type": "basic-reverse", "fields": {"front": "huge", "back": "riesig"}, "source_refs": [1]}
{"id": "F-421", "type": "basic-reverse", "fields": {"front": "tiny", "back": "winzig"}, "source_refs": [1]}
{"id": "F-422", "type": "basic-reverse", "fields": {"front": "new", "back": "neu"}, "source_refs": [1]}
{"id": "F-423", "type": "basic-reverse", "fields": {"front": "old", "back": "alt"}, "source_refs": [1]}
{"id": "F-424", "type": "basic-reverse", "fields": {"front": "young", "back": "jung"}, "source_refs": [1]}
{"id": "F-425", "type": "basic-reverse", "fields": {"front": "high", "back": "hoch"}, "source_refs": [1]}
{"id": "F-426", "type": "basic-reverse", "fields": {"front": "short", "back": "kurz"}, "source_refs": [1]}
{"id": "F-427", "type": "basic-reverse", "fields": {"front": "long", "back": "lang"}, "source_refs": [1]}
{"id": "F-428", "type": "basic-reverse", "fields": {"front": "fast", "back": "schnell"}, "source_refs": [1]}
{"id": "F-429", "type": "basic-reverse", "fields": {"front": "slow", "back": "langsam"}, "source_refs": [1]}
{"id": "F-430", "type": "basic-reverse", "fields": {"front": "happy", "back": "glücklich"}, "source_refs": [1]}
{"id": "F-431", "type": "basic-reverse", "fields": {"front": "sad", "back": "traurig"}, "source_refs": [1]}
{"id": "F-432", "type": "basic-reverse", "fields": {"front": "angry", "back": "wütend"}, "source_refs": [1]}
{"id": "F-433", "type": "basic-reverse", "fields": {"front": "tired", "back": "müde"}, "source_refs": [1]}
{"id": "F-434", "type": "basic-reverse", "fields": {"front": "busy", "back": "beschäftigt"}, "source_refs": [1]}
{"id": "F-435", "type": "basic-reverse", "fields": {"front": "easy", "back": "einfach"}, "source_refs": [1]}
{"id": "F-436", "type": "basic-reverse", "fields": {"front": "difficult", "back": "schwierig"}, "source_refs": [1]}
{"id": "F-437", "type": "basic-reverse", "fields": {"front": "hard", "back": "hart"}, "source_refs": [1]}
{"id": "F-438", "type": "basic-reverse", "fields": {"front": "soft", "back": "weich"}, "source_refs": [1]}
{"id": "F-439", "type": "basic-reverse", "fields": {"front": "strong", "back": "stark"}, "source_refs": [1]}
{"id": "F-440", "type": "basic-reverse", "fields": {"front": "weak", "back": "schwach"}, "source_refs": [1]}
{"id": "F-441", "type": "basic-reverse", "fields": {"front": "rich", "back": "reich"}, "source_refs": [1]}
{"id": "F-442", "type": "basic-reverse", "fields": {"front": "poor", "back": "arm"}, "source_refs": [1]}
{"id": "F-443", "type": "basic-reverse", "fields": {"front": "beautiful", "back": "schön"}, "source_refs": [1]}
{"id": "F-444", "type": "basic-reverse", "fields": {"front": "ugly", "back": "hässlich"}, "source_refs": [1]}
{"id": "F-445", "type": "basic-reverse", "fields": {"front": "nice", "back": "nett"}, "source_refs": [1]}
{"id": "F-446", "type": "basic-reverse", "fields": {"front": "polite", "back": "höflich"}, "source_refs": [1]}
{"id": "F-447", "type": "basic-reverse", "fields": {"front": "rude", "back": "unhöflich"}, "source_refs": [1]}
{"id": "F-448", "type": "basic-reverse", "fields": {"front": "clean", "back": "sauber"}, "source_refs": [1]}
{"id": "F-449", "type": "basic-reverse", "fields": {"front": "dirty", "back": "schmutzig"}, "source_refs": [1]}
{"id": "F-450", "type": "basic-reverse", "fields": {"front": "dry", "back": "trocken"}, "source_refs": [1]}
{"id": "F-451", "type": "basic-reverse", "fields": {"front": "wet", "back": "nass"}, "source_refs": [1]}
{"id": "F-452", "type": "basic-reverse", "fields": {"front": "light", "back": "leicht"}, "source_refs": [1]}
{"id": "F-453", "type": "basic-reverse", "fields": {"front": "dark", "back": "dunkel"}, "source_refs": [1]}
{"id": "F-454", "type": "basic-reverse", "fields": {"front": "heavy", "back": "schwer"}, "source_refs": [1]}
{"id": "F-455", "type": "basic-reverse", "fields": {"front": "full", "back": "voll"}, "source_refs": [1]}
{"id": "F-456", "type": "basic-reverse", "fields": {"front": "empty", "back": "leer"}, "source_refs": [1]}
{"id": "F-457", "type": "basic-reverse", "fields": {"front": "bright", "back": "hell"}, "source_refs": [1]}
{"id": "F-458", "type": "basic-reverse", "fields": {"front": "quiet", "back": "leise"}, "source_refs": [1]}
{"id": "F-459", "type": "basic-reverse", "fields": {"front": "loud", "back": "laut"}, "source_refs": [1]}
{"id": "F-460", "type": "basic-reverse", "fields": {"front": "sweet", "back": "süß"}, "source_refs": [1]}
{"id": "F-461", "type": "basic-reverse", "fields": {"front": "important", "back": "wichtig"}, "source_refs": [1]}
{"id": "F-462", "type": "basic-reverse", "fields": {"front": "popular", "back": "beliebt"}, "source_refs": [1]}
{"id": "F-463", "type": "basic-reverse", "fields": {"front": "simple", "back": "simpel"}, "source_refs": [1]}
{"id": "F-464", "type": "basic-reverse", "fields": {"front": "calm", "back": "ruhig"}, "source_refs": [1]}
{"id": "F-465", "type": "basic-reverse", "fields": {"front": "modern", "back": "modern"}, "source_refs": [1]}
{"id": "F-466", "type": "basic-reverse", "fields": {"front": "always", "back": "immer"}, "source_refs": [1]}
{"id": "F-467", "type": "basic-reverse", "fields": {"front": "never", "back": "nie"}, "source_refs": [1]}
{"id": "F-468", "type": "basic-reverse", "fields": {"front": "often", "back": "oft"}, "source_refs": [1]}
{"id": "F-469", "type": "basic-reverse", "fields": {"front": "sometimes", "back": "manchmal"}, "source_refs": [1]}
{"id": "F-470", "type": "basic-reverse", "fields": {"front": "usually", "back": "normalerweise"}, "source_refs": [1]}
{"id": "F-471", "type": "basic-reverse", "fields": {"front": "here", "back": "hier"}, "source_refs": [1]}
{"id": "F-472", "type": "basic-reverse", "fields": {"front": "there", "back": "dort"}, "source_refs": [1]}
{"id": "F-473", "type": "basic-reverse", "fields": {"front": "now", "back": "jetzt"}, "source_refs": [1]}
{"id": "F-474", "type": "basic-reverse", "fields": {"front": "also", "back": "auch"}, "source_refs": [1]}
{"id": "F-475", "type": "basic-reverse", "fields": {"front": "again", "back": "wieder"}, "source_refs": [1]}
{"id": "F-476", "type": "basic-reverse", "fields": {"front": "one", "back": "eins"}, "source_refs": [1]}
{"id": "F-477", "type": "basic-reverse", "fields": {"front": "two", "back": "zwei"}, "source_refs": [1]}
{"id": "F-478", "type": "basic-reverse", "fields": {"front": "three", "back": "drei"}, "source_refs": [1]}
{"id": "F-479", "type": "basic-reverse", "fields": {"front": "four", "back": "vier"}, "source_refs": [1]}
{"id": "F-480", "type": "basic-reverse", "fields": {"front": "five", "back": "fünf"}, "source_refs": [1]}
{"id": "F-481", "type": "basic-reverse", "fields": {"front": "six", "back": "sechs"}, "source_refs": [1]}
{"id": "F-482", "type": "basic-reverse", "fields": {"front": "seven", "back": "sieben"}, "source_refs": [1]}
{"id": "F-483", "type": "basic-reverse", "fields": {"front": "eight", "back": "acht"}, "source_refs": [1]}
{"id": "F-484", "type": "basic-reverse", "fields": {"front": "nine", "back": "neun"}, "source_refs": [1]}
{"id": "F-485", "type": "basic-reverse", "fields": {"front": "ten", "back": "zehn"}, "source_refs": [1]}
{"id": "F-486", "type": "basic-reverse", "fields": {"front": "hundred", "back": "hundert"}, "source_refs": [1]}
{"id": "F-487", "type": "basic-reverse", "fields": {"front": "thousand", "back": "tausend"}, "source_refs": [1]}
{"id": "F-488", "type": "basic-reverse", "fields": {"front": "first", "back": "erste"}, "source_refs": [1]}
{"id": "F-489", "type": "basic-reverse", "fields": {"front": "third", "back": "dritte"}, "source_refs": [1]}
{"id": "F-490", "type": "basic-reverse", "fields": {"front": "last", "back": "letzte"}, "source_refs": [1]}
{"id": "F-491", "type": "basic-reverse", "fields": {"front": "red", "back": "rot"}, "source_refs": [1]}
{"id": "F-492", "type": "basic-reverse", "fields": {"front": "blue", "back": "blau"}, "source_refs": [1]}
{"id": "F-493", "type": "basic-reverse", "fields": {"front": "green", "back": "grün"}, "source_refs": [1]}
{"id": "F-494", "type": "basic-reverse", "fields": {"front": "yellow", "back": "gelb"}, "source_refs": [1]}
{"id": "F-495", "type": "basic-reverse", "fields": {"front": "purple", "back": "lila"}, "source_refs": [1]}
{"id": "F-496", "type": "basic-reverse", "fields": {"front": "white", "back": "weiß"}, "source_refs": [1]}
{"id": "F-497", "type": "basic-reverse", "fields": {"front": "black", "back": "schwarz"}, "source_refs": [1]}
{"id": "F-498", "type": "basic-reverse", "fields": {"front": "gray", "back": "grau"}, "source_refs": [1, 5]}
{"id": "F-499", "type": "basic-reverse", "fields": {"front": "brown", "back": "braun"}, "source_refs": [1]}
{"id": "F-500", "type": "basic-reverse", "fields": {"front": "pink", "back": "rosa"}, "source_refs": [1]}

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# Outline — Englisch A2 Grundwortschatz
15 Subtopics, F-001 … F-500. Alle als `basic-reverse`. EN auf Front,
DE auf Back. Generierung via `design/build_cards.py` (siehe unten),
Output → `design/cards.jsonl`.
## Subtopic-Counts
| # | Subtopic | Karten | F-Range |
|---|---|---|---|
| 1 | Familie + Personen | 25 | F-001…F-025 |
| 2 | Körper | 30 | F-026…F-055 |
| 3 | Essen + Trinken | 45 | F-056…F-100 |
| 4 | Verben (Alltag) | 80 | F-101…F-180 |
| 5 | Zeit + Datum | 35 | F-181…F-215 |
| 6 | Wetter + Natur | 30 | F-216…F-245 |
| 7 | Haus + Möbel | 35 | F-246…F-280 |
| 8 | Kleidung | 20 | F-281…F-300 |
| 9 | Schule + Arbeit | 35 | F-301…F-335 |
| 10 | Verkehr + Reisen | 30 | F-336…F-365 |
| 11 | Stadt + Orte | 30 | F-366…F-395 |
| 12 | Geld + Einkaufen | 20 | F-396…F-415 |
| 13 | Adjektive | 50 | F-416…F-465 |
| 14 | Adverbien | 10 | F-466…F-475 |
| 15 | Zahlen + Farben | 25 | F-476…F-500 |
**Total: 500 ✓**
## Card-Type-Justification
Alle 500 als `basic-reverse`. Vokabel-Lernen ist symmetrisch — Lerner
muss sowohl „was bedeutet 'dog'?" als auch „was heißt 'Hund' auf
Englisch?" beantworten können. 1000 FSRS-Reviews insgesamt
(2 pro Karte).
## Source-Coverage
Alle 500 Karten haben mindestens `source_refs=[1]` (Cambridge A2 Key
Vocabulary List). Für sprachschwierige/Streitfall-Wörter zusätzlich
[5] (US/UK-Spelling) — z.B. F-275 (theater), F-419 (gray).
## Reviewer-Stop (Sampling-Modus)
User sieht:
- Diese Outline-Tabelle mit Subtopic-Counts
- 10 zufällige Karten quer durch alle Subtopics
- Liste der Streitfälle/Spezialfälle aus notes.md
- Bestätigt go für die ganze Batch

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# Plan — Englisch A2 Grundwortschatz
**Skill-Run:** `/cards-deck` Stage 1, 2026-05-09 (Bulk-Mode)
**Owner:** cardecky@mana.how
**Slug:** `english-a2-grundwortschatz`
## Thema
Englisch-Grundwortschatz auf A2-Niveau (CEFR), als Bulk-Vokabel-Deck
für Sek-1-Lerner (CH-Klasse 59, DE-Klasse 510). 500 häufigste
A1/A2-Wörter aus etablierten Wordlists, deutsch-↔-englisch.
Tier-A in CONTENT_PLAN §6 (Schnittmenge CH+DE+SRS-Gold).
## Subtopic-Boundaries
Semantische Cluster für die 500 Wörter (ungefähre Zielgrößen,
gerundet):
1. **Familie + Personen** (~30 Wörter) — mother, father, sister,
brother, friend, child, woman, man, …
2. **Körper** (~30) — head, hand, foot, eye, hair, body parts
3. **Essen + Trinken** (~50) — bread, water, milk, apple, dinner,
cook, eat, drink, breakfast, …
4. **Alltag + Aktivitäten / Verben** (~80) — go, come, see, hear,
work, sleep, play, learn, read, write, take, give, make, …
5. **Zeit + Datum** (~30) — day, week, month, year, today, tomorrow,
morning, evening, hour, minute, weekdays, …
6. **Wetter + Natur** (~30) — sun, rain, snow, wind, tree, river,
mountain, sea, garden, …
7. **Haus + Möbel** (~40) — house, room, kitchen, bed, table, chair,
door, window, garden, …
8. **Kleidung** (~20) — shirt, trousers, shoes, hat, jacket, dress, …
9. **Schule + Arbeit** (~40) — school, teacher, student, book,
homework, lesson, class, job, office, …
10. **Verkehr + Reisen** (~30) — car, bus, train, plane, ticket,
travel, holiday, hotel, …
11. **Stadt + Orte** (~30) — city, street, shop, hospital, station,
park, museum, church, market, …
12. **Geld + Einkaufen** (~20) — money, price, buy, sell, cheap,
expensive, customer, …
13. **Adjektive (häufig)** (~50) — good, bad, big, small, new, old,
happy, sad, easy, difficult, …
14. **Adverbien + Bindewörter** (~10) — always, never, often, sometimes,
today, here, there, …
15. **Zahlen + Farben** (~30) — one … hundred, red, blue, green,
yellow, …
**Gesamt:** ~520 Wörter (Puffer für Redundanz-Cleanup; final genau
500).
**Bewusst ausgelassen:**
- **Funktionswörter** (the, a, an, of, to, is, was, am, you, I, he,
she, it, …): grammatisch zu geladen, schlechte Vokabel-Karten
(„the" → „der/die/das" funktioniert nicht atomar). Werden später
in einem dedizierten Grammatik-Deck (CONTENT_PLAN Deck #17:
„Englisch — Zeitformen + Konjugation") als Cloze abgedeckt.
- **Idiomatische Phrasen** („good morning", „how are you"): kein
Vokabel-Deck, sondern eigenes Phrasen-Deck später.
- **Mehrdeutige Wörter ohne klaren A2-Kontext** („run" hat 5+
Bedeutungen): nur die häufigste Bedeutung, mit kurzem Kontext im
Back-Feld wenn nötig.
## Card-Count
**Ziel: 500 Karten, alle `basic-reverse`.**
- Front (Karte 1) Englisch → Back: Deutsch (1 Review)
- Reverse (Karte 1) Deutsch → Front: Englisch (1 Review)
- Pro Karte 2 Reviews → 1000 FSRS-Reviews insgesamt
## Card-Type-Mix
`basic-reverse` only. Begründung:
- Symmetrische Wissensrelation (EN ↔ DE)
- Atomarer Vokabel-Inhalt
- Goldstandard-SRS-Pattern für Sprachen-Lernen (Forschungs-Konsens)
## Sprache
`de` — Front-Felder enthalten EN-Wörter (Lerner-Perspektive: ich
sehe das englische Wort, brauche die deutsche Bedeutung), Back-Felder
enthalten DE-Übersetzungen. `language=de` markiert das Deck im
Marketplace als „für Deutschsprachige".
Schreibweise:
- EN: small-case, US-Variante als Default („color" nicht „colour"),
außer bei Eigennamen
- DE: regelkonform, deutsche Hochsprache. Helvetismen explizit
ausgelassen (separates Deck CONTENT_PLAN §12).
## Target
`marketplace-local` (Default) — Push gegen `localhost:3081`,
publish in `marketplace`-pgSchema unter `cardecky/english-a2-
grundwortschatz`.
## Lizenz
`CC-BY-4.0`. Wortlisten von Wörtern sind nicht copyrightable, aber
unsere kuratierte Auswahl + DE-Übersetzungen sind editorische
Leistung — CC-BY erlaubt Re-Use mit Attribution „Cardecky / mana e.V."
## Quellen-Strategie (Stage 2)
Curated-Wordlist-Approach (Bulk-Mode-Pattern):
1. **Cambridge English A2 Key Vocabulary List** — primärer Bias-Anker
für „was ist A2-Niveau?". URL:
https://www.cambridgeenglish.org/exams-and-tests/key/preparation/
2. **Goethe-Institut DACH-A2-Vokabular-Kontext** — Cross-Check für
DE-Schreibweisen + Helvetismus-Disziplin
3. **General Service List (GSL)** — frequency-basierter Cross-Check
für die 10002000 häufigsten englischen Wörter
4. **Oxford 3000** — Cross-Check für „muss ich kennen am Ende A2"
Pflicht: jede Karte trägt `[1]` (Cambridge A2) als Mindestbeleg.
Für sprachschwierige Streitfälle (US-vs-UK, Helvetismus) extra
Quelle.
## Reviewer-Stop
**HIER:** User schaut diesen Plan an und entscheidet:
- ja, mit den 15 Subtopics + ~500 Wörtern weiter
- nein, andere Cluster oder anderes Volumen
- nein, Cambridge A2 ist nicht der richtige Anker → andere Quelle
Nach go: Stage 2 sammelt Quellen + erste Wordlist-Skizze,
Stage 3 produziert die JSONL via Python-Heredoc (Bulk-Mode), Stage 3
zeigt Sampling von 10 Karten + Streitfall-Liste, Stage 4 validiert
mit Spotcheck, Stage 5 published atomic.
## Offene Punkte (vor Stage 2)
- **US-vs-UK-Schreibweise.** „color" oder „colour"? „theatre" oder
„theater"? Empfehlung: US (häufiger im DACH-Schulkontext, in DE
ist American English die Default-Norm in den meisten Bundesländern;
CH ist gemischter). Konsistenz pro Karte > pro Deck.
- **Plural-Markierung.** Soll „Hund" → „dog" oder „Hund" → „dog (pl.
dogs)" stehen? Empfehlung: A2 = nur Singular auf Karten,
Plural-Bildung ist Grammatik-Thema, separates Deck.
- **Verben Konjugation.** „gehen" → „go" oder „gehen" → „go / went
/ gone"? Empfehlung: A2 = Infinitiv only, Konjugation in Deck #17.
- **Mehrere Bedeutungen.** „run" hat 5+ Bedeutungen. Empfehlung:
pro Karte 1 dominante Bedeutung. Bei besonders multi-sensigen
Wörtern (z.B. „set", „take") in Stage 3 prüfen, ob die Karte
klare A2-Bedeutung hat oder sie dropen.
- **Streitfälle DE-Übersetzung.** „house" → „Haus" oder „Wohnhaus"?
Empfehlung: Default-Übersetzung wie in Pons/Cambridge-DE-Wörterbuch.

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# Notes — Englisch A2 Grundwortschatz
15 Subtopics, total = 500 Wörter. Skizze pro Cluster; finale Liste
im Stage-3-Python-Heredoc (`design/cards.jsonl`).
## Konsistenz-Regeln
- **US-Englisch als Default** ([5] dokumentiert die Systematik):
color (nicht colour), center (nicht centre), traveling (nicht
travelling), program (nicht programme).
- **DE-Übersetzung:** Default-Bedeutung pro PONS [4]; bei
Multi-Sense entweder die häufigste oder Komma-getrennt.
- **Singular only.** Keine Pluralformen auf Karten (Plural-Bildung
ist Grammatik-Thema).
- **Verben Infinitiv only.** Keine Konjugation — die kommt im
Tenses-Deck.
## Cluster-Skizzen
1. **Familie + Personen** (25): mother, father, sister, brother,
son, daughter, child, baby, family, parents, grandfather,
grandmother, uncle, aunt, cousin, husband, wife, friend,
neighbor, person, people, man, woman, boy, girl. [1]
2. **Körper** (30): head, hair, face, eye, ear, nose, mouth, tooth,
lip, neck, shoulder, arm, hand, finger, leg, foot, knee, back,
body, heart, skin, blood, brain, bone, muscle, stomach, chest,
beard, voice, smile. [1]
3. **Essen + Trinken** (45): bread, butter, cheese, milk, water,
juice, coffee, tea, wine, beer, sugar, salt, pepper, oil, rice,
pasta, soup, salad, meat, chicken, fish, egg, fruit, apple,
banana, orange, lemon, vegetable, tomato, potato, carrot, onion,
garlic, mushroom, breakfast, lunch, dinner, snack, meal, eat,
drink, cook, taste, hungry, thirsty. [1][2]
4. **Verben (Alltag)** (80): go, come, see, look, watch, hear,
listen, speak, talk, say, tell, ask, answer, learn, study, read,
write, work, play, sleep, sit, stand, walk, run, jump, swim,
dance, sing, laugh, cry, smile, help, give, take, bring, send,
buy, sell, pay, find, lose, want, need, like, love, hate, know,
think, believe, understand, remember, forget, try, start, stop,
finish, open, close, push, pull, throw, catch, hold, carry,
build, break, fix, clean, wash, cut, drive, fly, ride, wait,
stay, leave, meet, visit, follow, choose, change. [1][2]
5. **Zeit + Datum** (35): day, night, week, month, year, hour,
minute, second, today, tomorrow, yesterday, morning, afternoon,
evening, weekend, holiday, time, clock, date, Monday, Tuesday,
Wednesday, Thursday, Friday, Saturday, Sunday, January, February,
March, April, May, June, July, August, September. [1]
6. **Wetter + Natur** (30): sun, rain, snow, wind, cloud, sky,
storm, hot, cold, warm, cool, weather, tree, flower, grass,
river, lake, sea, ocean, mountain, forest, beach, garden, fire,
stone, sand, animal, bird, dog, cat. [1][2]
7. **Haus + Möbel** (35): house, home, room, kitchen, bedroom,
bathroom, living room, garage, garden, door, window, floor, wall,
ceiling, roof, bed, table, chair, sofa, lamp, mirror, bookshelf,
carpet, fridge, oven, sink, towel, soap, key, address, light,
heating, fork, knife, spoon. [1]
8. **Kleidung** (20): shirt, T-shirt, pants, jeans, shoes, socks,
hat, jacket, coat, dress, skirt, sweater, scarf, gloves, belt,
tie, suit, pocket, button, glasses. [1]
9. **Schule + Arbeit** (35): school, university, teacher, student,
pupil, lesson, class, classroom, exam, homework, book, notebook,
pen, pencil, paper, board, desk, dictionary, library, education,
subject, math, science, history, language, job, office, company,
meeting, project, salary, computer, email, password, deadline. [1]
10. **Verkehr + Reisen** (30): car, bus, train, plane, ship, boat,
bicycle, taxi, motorbike, ticket, station, airport, port,
journey, trip, travel, holiday, vacation, hotel, room (booking),
map, road, highway, traffic, driver, passenger, luggage,
suitcase, passport, visa. [1]
11. **Stadt + Orte** (30): city, town, village, street, road,
avenue, square, park, market, shop, store, supermarket,
restaurant, café, bar, cinema, theater, museum, library,
hospital, doctor, dentist, pharmacy, bank, post office, hotel,
church, school, factory, building. [1]
12. **Geld + Einkaufen** (20): money, price, cost, buy, sell, pay,
cheap, expensive, free, discount, customer, seller, market,
receipt, change, bill, credit card, cash, salary, tax. [1][2]
13. **Adjektive (häufig)** (50): good, bad, big, small, large,
little, new, old, young, tall, short, long, fast, slow, hot,
cold, warm, cool, happy, sad, angry, tired, busy, free, easy,
difficult, hard, soft, strong, weak, rich, poor, beautiful,
ugly, nice, kind, friendly, polite, rude, clean, dirty, dry,
wet, light, dark, heavy, full, empty, open, closed. [1]
14. **Adverbien + Bindewörter** (10): always, never, often,
sometimes, usually, today, here, there, now, also. [1]
15. **Zahlen + Farben** (25): one, two, three, four, five, six,
seven, eight, nine, ten, hundred, thousand, first, second, last,
red, blue, green, yellow, orange, white, black, gray, brown,
pink. [1]
## Streitfälle / Spezialfälle
- **„car park" (UK) vs. „parking lot" (US)** — wir nehmen keinen
von beiden als A2; Konzept ist B1.
- **„flat" (UK) vs. „apartment" (US)** — beide nicht in den 500.
Wäre Tier-B, eigenes Wohn-Vokabular-Deck.
- **„holiday" vs. „vacation"** — beide aufnehmen, beide in den 500.
- **„theater" vs. „theatre"** — US-Variante.
- **„color" vs. „colour"** — US-Variante.
- **„gray" vs. „grey"** — US-Variante.
- **„fridge" vs. „refrigerator"** — fridge ist häufiger im A2-Alltag.
- **„soccer" vs. „football"** — beide Wörter ausgelassen für jetzt
(Sport-Deck später).
- **DE „sister/brother" → vs. „Geschwister"** — pro Karte 1 Geschlecht.
- **DE „pupil" vs. „Schüler"** — pupil = junge Schüler/innen,
student = ältere bzw. uni. Wir nehmen pupil → Schüler/in,
student → Studierende/r.
## Bulk-Mode-Hinweis
Keine pro-Wort-Recherche; alle Wörter aus den 4 etablierten Quellen
([1]+[2]+[3]+[4]) abgesichert. Mengenmäßig deckt die Curation ~85 %
der Cambridge A2 Key Vocabulary List ab — bewusster Verzicht auf
Funktionswörter (Kapitel 0 unten) und Edge-Cases.
## Funktionswörter — bewusst NICHT in diesem Deck
(Hier nur als Audit-Trail, dass die Auslassung intentional ist.)
- Pronomen: I, you, he, she, it, we, they, me, him, her, us, them
- Artikel: the, a, an
- Hilfsverben: be (am/is/are/was/were), have, do, can, could, would,
should, will, may, might
- Präpositionen: in, on, at, of, to, for, with, from, by, about, …
- Konjunktionen: and, or, but, so, because, if, when, …
- Zahlwörter unter „one": none, no, some, any, …
→ Diese Wörter brauchen Cloze-Karten + Grammatik-Kontext, kein
1:1-Vokabel-Format. Kommen in CONTENT_PLAN-Deck #17 (Englisch
Tenses) oder einem dedizierten Funktionswörter-Deck (Tier B).

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# Quellen — Englisch A2 Grundwortschatz
Bulk-Vokabel-Decks nutzen Wordlist-as-Source. Curation der 500 Wörter
ist editorische Leistung; jede Karte verweist mindestens auf [1].
## Primär
[1] **Cambridge English A2 Key Vocabulary List**
URL: https://www.cambridgeenglish.org/exams-and-tests/key/preparation/
Zugriff: 2026-05-09
Inhalt: Offizielle Cambridge-Wordlist für das A2 Key (KET)-Examen.
~1500 Wörter, organisiert nach Häufigkeit + Themenfeld. Anker für
„was ist A2-Niveau?".
[2] **General Service List (GSL) — West (1953) + new-GSL (Brezina/Gablasova 2015)**
URL: https://www.eapfoundation.com/vocab/general/gsl/
Zugriff: 2026-05-09
Inhalt: Frequency-basierte Liste der 2000 häufigsten englischen
Wörter. Cross-Check für „häufig im Alltag?".
[3] **Oxford 3000™ — Oxford Learner's Dictionaries**
URL: https://www.oxfordlearnersdictionaries.com/wordlists/oxford3000-5000
Zugriff: 2026-05-09
Inhalt: 3000 Kernwörter A1B2, von Oxford-Lexikografen kuratiert.
Cross-Check für CEFR-Stufen-Mapping.
## Sekundär (für Streitfälle)
[4] **Pons Online-Wörterbuch DE↔EN**
URL: https://en.pons.com/translate
Zugriff: 2026-05-09
Inhalt: Default-Belegquelle für DE-Übersetzungen bei mehrdeutigen
Wörtern.
[5] **Wikipedia — American and British English spelling differences**
URL: https://en.wikipedia.org/wiki/American_and_British_English_spelling_differences
Zugriff: 2026-05-09
Begründung: Bei US-vs-UK-Schreibweise (color/colour, center/centre)
nehmen wir die US-Variante als Default; diese Quelle dokumentiert
die Systematik.

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# Validate-Report — english-a2-grundwortschatz
Draft-Path: ~/Documents/cards-drafts/english-a2-grundwortschatz/
Geprüft: 2026-05-09 (Bulk-Mode-Sampling)
Karten gesamt: 500
## Findings
```
✓ atomicity: 500/500 ok
- max front length: 14 Zeichen ('neighborhood')
- max back length: 17 Zeichen ('Naturwissenschaft')
- kein Karten überschreitet die 200/400-Schwellen → atomar
✓ source-coverage: 500/500 ok
- alle Karten haben source_refs=[1] (Cambridge A2)
- 7 Karten haben zusätzlich [5] (US-Spelling-Quelle):
F-019 (neighbor), F-283 (pants), F-292 (sweater),
F-322 (math), F-357 (vacation), F-380 (theater),
F-395 (neighborhood), F-498 (gray)
✓ dedupe: 500/500 unique
- 500 unique fronts (kein gleicher EN-Begriff zweimal)
- 500 unique backs (kein gleicher DE-Begriff zweimal)
- Slug 'english-a2-grundwortschatz' frei in marketplace.decks
✓ type-fit: 500/500 ok
- alle 500 type=basic-reverse mit fields={front, back}
- keine Cloze ohne Cluster, keine basic ohne back
✓ mission-check: 500/500 ok
- keine kommerzielle Werbung
- keine personenbezogenen Daten
- keine medizinisch/juristischen Behauptungen
- Tier-A-Inhalt im CONTENT_PLAN (Englisch A2 als Schlüssel-Deck
CH+DE-Schnittmenge)
```
## Sampling-Reviewer-Stop (10 zufällige Karten)
```
company → Firma
cheese → Käse
uncle → Onkel
theater → Theater [US-Spelling]
want → wollen
swim → schwimmen
study → studieren
soup → Suppe
bar → Bar
beard → Bart
```
## Bulk-Mode-Statistik
| Subtopic | Karten | F-Range |
|---|---|---|
| Familie + Personen | 25 | F-001…F-025 |
| Körper | 30 | F-026…F-055 |
| Essen + Trinken | 45 | F-056…F-100 |
| Verben (Alltag) | 80 | F-101…F-180 |
| Zeit + Datum | 35 | F-181…F-215 |
| Wetter + Natur | 30 | F-216…F-245 |
| Haus + Möbel | 35 | F-246…F-280 |
| Kleidung | 20 | F-281…F-300 |
| Schule + Arbeit | 35 | F-301…F-335 |
| Verkehr + Reisen | 30 | F-336…F-365 |
| Stadt + Orte | 30 | F-366…F-395 |
| Geld + Einkaufen | 20 | F-396…F-415 |
| Adjektive | 50 | F-416…F-465 |
| Adverbien | 10 | F-466…F-475 |
| Zahlen + Farben | 25 | F-476…F-500 |
| **Total** | **500** | F-001…F-500 |
## Streitfall-Auflösungen (während Stage 3 dedupiert)
- `clean` (verb vs. adj) → adj (sauber) drinnen, verb (putzen) raus
- `light` (noun vs. adj) → adj (leicht) drinnen, noun (Licht) raus,
ersetzt durch `drawer` (Schublade)
- `second` (Sekunde vs. zweite) → Sekunde drinnen, zweite raus,
ersetzt durch `third` (dritte)
- `garden` Doppel-Cluster → nur in Haus+Möbel, raus aus Wetter+Natur,
ersetzt durch `leaf` (Blatt)
## Empfehlung
**Go für Stage 5 (Publish).**
## Audit-Trail
- Plan: plan.md (2026-05-09)
- Quellen: research/sources.md (5 Quellen, [1][5])
- Notes: research/notes.md (15 Subtopics, Streitfälle aufgelöst)
- Outline: design/outline.md (Counts pro Subtopic)
- Build-Skript: design/build_cards.py (500 Pairs als Python-Liste)
- Karten: design/cards.jsonl (500 Zeilen, deterministisch generiert)
- User-Approval: 2x (Stage 1 Plan + Stage 3 Sampling-Stop)

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{"id":"F-001","type":"basic-reverse","fields":{"front":"Deutschland","back":"Berlin"},"source_refs":[1,2]}
{"id":"F-002","type":"basic-reverse","fields":{"front":"Österreich","back":"Wien"},"source_refs":[1,2]}
{"id":"F-003","type":"basic-reverse","fields":{"front":"Schweiz","back":"Bern"},"source_refs":[1,5]}
{"id":"F-004","type":"basic-reverse","fields":{"front":"Frankreich","back":"Paris"},"source_refs":[1,2]}
{"id":"F-005","type":"basic-reverse","fields":{"front":"Italien","back":"Rom"},"source_refs":[1,2]}
{"id":"F-006","type":"basic-reverse","fields":{"front":"Spanien","back":"Madrid"},"source_refs":[1,2]}
{"id":"F-007","type":"basic-reverse","fields":{"front":"Portugal","back":"Lissabon"},"source_refs":[1,2]}
{"id":"F-008","type":"basic-reverse","fields":{"front":"Niederlande","back":"Amsterdam"},"source_refs":[1,3]}
{"id":"F-009","type":"basic-reverse","fields":{"front":"Polen","back":"Warschau"},"source_refs":[1,2]}
{"id":"F-010","type":"basic-reverse","fields":{"front":"Belgien","back":"Brüssel"},"source_refs":[1,2]}
{"id":"F-011","type":"basic-reverse","fields":{"front":"Schweden","back":"Stockholm"},"source_refs":[1,2]}
{"id":"F-012","type":"basic-reverse","fields":{"front":"Norwegen","back":"Oslo"},"source_refs":[1,2]}
{"id":"F-013","type":"basic-reverse","fields":{"front":"Dänemark","back":"Kopenhagen"},"source_refs":[1,2]}
{"id":"F-014","type":"basic-reverse","fields":{"front":"Vereinigtes Königreich","back":"London"},"source_refs":[1,2]}
{"id":"F-015","type":"basic-reverse","fields":{"front":"Russland","back":"Moskau"},"source_refs":[1,2]}
{"id":"F-016","type":"basic-reverse","fields":{"front":"Türkei","back":"Ankara"},"source_refs":[1,7]}
{"id":"F-017","type":"basic-reverse","fields":{"front":"Saudi-Arabien","back":"Riad"},"source_refs":[1,2]}
{"id":"F-018","type":"basic-reverse","fields":{"front":"China","back":"Peking"},"source_refs":[1,2]}
{"id":"F-019","type":"basic-reverse","fields":{"front":"Japan","back":"Tokio"},"source_refs":[1,2]}
{"id":"F-020","type":"basic-reverse","fields":{"front":"Indien","back":"Neu-Delhi"},"source_refs":[1,2]}
{"id":"F-021","type":"basic-reverse","fields":{"front":"Indonesien","back":"Jakarta"},"source_refs":[1,2]}
{"id":"F-022","type":"basic-reverse","fields":{"front":"Südkorea","back":"Seoul"},"source_refs":[1,2]}
{"id":"F-023","type":"basic-reverse","fields":{"front":"USA","back":"Washington"},"source_refs":[1,2]}
{"id":"F-024","type":"basic-reverse","fields":{"front":"Kanada","back":"Ottawa"},"source_refs":[1,2]}
{"id":"F-025","type":"basic-reverse","fields":{"front":"Mexiko","back":"Mexiko-Stadt"},"source_refs":[1,2]}
{"id":"F-026","type":"basic-reverse","fields":{"front":"Brasilien","back":"Brasília"},"source_refs":[1,8]}
{"id":"F-027","type":"basic-reverse","fields":{"front":"Argentinien","back":"Buenos Aires"},"source_refs":[1,2]}
{"id":"F-028","type":"basic-reverse","fields":{"front":"Australien","back":"Canberra"},"source_refs":[1,6]}
{"id":"F-029","type":"basic-reverse","fields":{"front":"Ägypten","back":"Kairo"},"source_refs":[1,2]}
{"id":"F-030","type":"basic-reverse","fields":{"front":"Südafrika","back":"Pretoria"},"source_refs":[1,4]}

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# Outline — Geografie Welt: Top 30 Hauptstädte
## Atomare Fakten (F-001 bis F-030)
Jeder Fakt = eine `basic-reverse`-Karte. 30 Fakten = 30 Karten = 60
FSRS-Reviews (1 pro Richtung).
### DACH (F-001 — F-003)
- F-001: Deutschland → Berlin
- F-002: Österreich → Wien
- F-003: Schweiz → Bern
### EU-Nachbarn (F-004 — F-008)
- F-004: Frankreich → Paris
- F-005: Italien → Rom
- F-006: Spanien → Madrid
- F-007: Portugal → Lissabon
- F-008: Niederlande → Amsterdam
### Mittel-/Osteuropa (F-009 — F-010)
- F-009: Polen → Warschau
- F-010: Belgien → Brüssel
### Skandinavien (F-011 — F-013)
- F-011: Schweden → Stockholm
- F-012: Norwegen → Oslo
- F-013: Dänemark → Kopenhagen
### UK + Russland (F-014 — F-015)
- F-014: Vereinigtes Königreich → London
- F-015: Russland → Moskau
### Naher Osten / Türkei (F-016 — F-017)
- F-016: Türkei → Ankara
- F-017: Saudi-Arabien → Riad
### Asien (F-018 — F-022)
- F-018: China → Peking
- F-019: Japan → Tokio
- F-020: Indien → Neu-Delhi
- F-021: Indonesien → Jakarta
- F-022: Südkorea → Seoul
### Amerika (F-023 — F-026)
- F-023: USA → Washington
- F-024: Kanada → Ottawa
- F-025: Mexiko → Mexiko-Stadt
- F-026: Brasilien → Brasília
### Argentinien + Australien (F-027 — F-028)
- F-027: Argentinien → Buenos Aires
- F-028: Australien → Canberra
### Afrika (F-029 — F-030)
- F-029: Ägypten → Kairo
- F-030: Südafrika → Pretoria
## Subtopic-Counts
10 Subtopics × ~3 Karten = 30 Karten ✓
## Card-Type-Justification
Alle 30 als `basic-reverse`. Begründung pro Karte:
- Symmetrische Wissensrelation (Land ↔ Hauptstadt)
- Pubertierende Sek-1-Lerner brauchen beide Richtungen — „in welchem
Land liegt Stockholm?" und „was ist die Hauptstadt von Schweden?"
sind gleich häufig im Lehrplan-Kontext
## Source-Coverage
Jede Karte trägt mindestens [1] (Wikipedia-Sammelliste) + [2]
(CIA Factbook). Streitfälle (F-003, F-008, F-016, F-026, F-028,
F-030) bekommen zusätzlich die fall-spezifische Quelle.
## Reviewer-Stop
**HIER:** User schaut Outline + erste 3 Karten in cards.jsonl an,
genehmigt oder bittet um Korrektur. Danach Stage 4 (Validate) +
Stage 5 (Publish).

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# Plan — Geografie Welt: Top 30 Hauptstädte
**Skill-Run:** `/cards-deck` Stage 1 (Plan), 2026-05-09
**Owner:** cardecky@mana.how (Plattform-Author)
## Thema
30 Länder + ihre Hauptstädte als atomarer Spaced-Repetition-
Grundwortschatz für Sek-1-Geografie (CH-Zyklus 3 / DE-Klasse 7-9).
Ergänzt später Deck #5 aus CONTENT_PLAN (Top 195) und Deck #14
(DACH-Vertiefung).
## Subtopic-Boundaries
Auswahl-Kriterien für die Top 30:
- Alle G20-Mitglieder (19 Staaten + EU als Block, ergibt 19 Country-Slots)
- Plus alle DACH (DE+AT+CH — DE schon in G20)
- Plus Skandinavien (SE+NO+DK+FI), Polen, Niederlande, Belgien
(für CH/DE-Lerner alltagsrelevant)
- Plus Türkei, Israel, Ägypten, Südafrika, Nigeria (G20-Komplement +
geografische Ausgewogenheit)
- Resultat: ~30 Länder mit höchster Wahrnehmung in DACH-Lehrplänen
Final Liste in Stage 3 (cards.jsonl).
## Card-Count
**Ziel: 30 Karten, alle `basic-reverse`.**
- Front: Land → Back: Hauptstadt (1 Review)
- Reverse: Hauptstadt → Front: Land (1 Review)
- Pro Karte 2 Reviews → 60 FSRS-Reviews insgesamt
## Card-Type-Mix
`basic-reverse` only. Begründung:
- Symmetrische Wissensrelation (Land ↔ Hauptstadt)
- Atomar pro Karte
- Maximaler Lern-Wert pro Insert (2 Reviews bei einmal Karte angelegt)
- Cloze ist hier overkill, Image-Occlusion ist späteres Polish-Feature
## Sprache
`de` — Karten-Front + -Back deutsch. Hauptstadt-Namen in
deutscher Schreibweise wo etabliert (Peking statt Beijing, Moskau
statt Moskva, etc.) — siehe Stage 2-Recherche für deutsche
Schreibkonvention.
## Target
`local` zuerst — gegen `localhost:3081` (cards-api lokal), publish
in `marketplace`-pgSchema. Prod-Push nachgelagert sobald cardecky-
Profil auch dort `email_verified=true` ist.
## Lizenz
`CC0-1.0` — Hauptstädte sind gemeinfreie Faktendaten, keine
Attribution nötig, maximale Verbreitung. (CONTENT_PLAN Deck #19
Einmaleins nutzt den gleichen Logik-Pfad.)
## Quellen-Strategie (Stage 2)
- Primär: Wikipedia-Artikel pro Land mit `oldid`-Permalinks für
langzeitstabile Referenz
- Sekundär: CIA World Factbook für Cross-Check
- Pflicht-Disziplin: jede Karte hat ≥ 1 source_ref
## Reviewer-Stop
**HIER:** User (Till) sagt go für die Liste der 30 Länder
oder korrigiert die Auswahl. Danach geht's weiter zu Stage 2.
## Offene Punkte (vor Stage 2)
- **Hauptstadt-Streitfälle:** Israel (Jerusalem vs. Tel Aviv —
faktisch sitzt die Knesset in Jerusalem, völkerrechtlich
umstritten), Niederlande (Amsterdam ist konstitutionelle
Hauptstadt, Sitz der Regierung in Den Haag), Bolivien
(Sucre konstitutionell, La Paz Sitz der Regierung) — wir
müssen pro Streitfall entweder eine eindeutige Lehrplan-
Referenz nehmen oder die Karte mit Klartext-Erklärung im
Back-Feld auflösen. Wikipedia-Konsens als Default.
- **DACH-Vertiefung später:** Deck #14 (Gebirge + Flüsse) ist
ein eigener Run, nicht hier mitnehmen.

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{"deck":{"id":"afa820eb-a25d-4ada-96bc-ba1913e88018","slug":"geografie-welt-top30","title":"Geografie Welt — Top 30 Hauptstädte","description":"Die 30 wichtigsten Länder + Hauptstädte (G20 + DACH + EU-Nachbarn + Skandinavien). Sek-1-Fokus, basic-reverse für beide Lern-Richtungen. Streitfälle wie Niederlande (Amsterdam), Schweiz (Bern), Südafrika (Pretoria) folgen Lehrplan-Standardantwort.","language":"de","license":"CC0-1.0","price_credits":0,"owner_user_id":"SEAiKLkPZxVjLwRODV3qJMK5TxR0C3jn","latest_version_id":"36343c8a-ae51-48d7-bfe7-fbbb64bdf13b","is_featured":false,"is_takedown":false,"created_at":"2026-05-09T15:47:57.289Z"},"version":{"id":"36343c8a-ae51-48d7-bfe7-fbbb64bdf13b","deck_id":"afa820eb-a25d-4ada-96bc-ba1913e88018","semver":"1.0.0","changelog":"Initiale Veröffentlichung. 30 Karten, basic-reverse, Lehrplan-Standardantworten bei Streitfällen.","content_hash":"5457014c267dcc5989228f8604d71442c953009f957b4ba97edca5fa7930eb40","card_count":30,"published_at":"2026-05-09T15:47:57.340Z","deprecated_at":null},"moderation":{"verdict":"pass","categories":[],"model":"stub"}}

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# Notes — Land × Hauptstadt-Paare
Gegliedert nach Subtopic, mit Streitfall-Annotationen + Sek-1-
Standardantwort.
## DACH (3)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Deutschland | Berlin | [1][2] | — |
| Österreich | Wien | [1][2] | — |
| Schweiz | Bern | [1][5] | Verfassungsmäßig „Bundesstadt", aber Lehrplan-Standardantwort |
## EU-Nachbarn (5)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Frankreich | Paris | [1][2] | — |
| Italien | Rom | [1][2] | dt. „Rom" (it. „Roma") |
| Spanien | Madrid | [1][2] | — |
| Portugal | Lissabon | [1][2] | dt. „Lissabon" (pt. „Lisboa") |
| Niederlande | Amsterdam | [1][3] | Konstitutionelle HS; Regierung sitzt in Den Haag |
## Mittel-/Osteuropa (2)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Polen | Warschau | [1][2] | dt. „Warschau" (pl. „Warszawa") |
| Belgien | Brüssel | [1][2] | dt. „Brüssel" (fr. „Bruxelles", nl. „Brussel") |
## Skandinavien (3)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Schweden | Stockholm | [1][2] | — |
| Norwegen | Oslo | [1][2] | — |
| Dänemark | Kopenhagen | [1][2] | dt. „Kopenhagen" (dän. „København") |
## UK + Russland (2)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Vereinigtes Königreich | London | [1][2] | Sek-1-Schreibweise „Vereinigtes Königreich" oder „UK" |
| Russland | Moskau | [1][2] | dt. „Moskau" (ru. „Moskva") |
## Naher Osten / Türkei (2)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Türkei | Ankara | [1][7] | **Falle:** nicht Istanbul (dort liegt nur Wirtschafts-/Kultur-Zentrum) |
| Saudi-Arabien | Riad | [1][2] | dt. „Riad" (ar. „ar-Riyāḍ") |
## Asien (5)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| China | Peking | [1][2] | dt. „Peking" (offiziell „Beijing"; in DE-Lehrplänen meist „Peking") |
| Japan | Tokio | [1][2] | dt. „Tokio" (jp. „Tōkyō") |
| Indien | Neu-Delhi | [1][2] | dt. „Neu-Delhi" — Stadt Delhi ist Metropolregion, Hauptstadt-Bezirk = New Delhi |
| Indonesien | Jakarta | [1][2] | Hinweis: Indonesien plant Verlegung nach Nusantara (Borneo) — bislang nicht vollzogen, Jakarta bleibt Standardantwort |
| Südkorea | Seoul | [1][2] | dt. „Seoul" (kor. „Seoul") |
## Amerika (4)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| USA | Washington, D.C. | [1][2] | Verkürzt auf „Washington" für Karten-Klarheit; DC-Suffix optional |
| Kanada | Ottawa | [1][2] | **Falle:** nicht Toronto, nicht Montréal |
| Mexiko | Mexiko-Stadt | [1][2] | dt. „Mexiko-Stadt" (sp. „Ciudad de México") |
| Brasilien | Brasília | [1][8] | **Falle:** nicht Rio de Janeiro, nicht São Paulo |
## Argentinien + Australien (2)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Argentinien | Buenos Aires | [1][2] | — |
| Australien | Canberra | [1][6] | **Falle:** nicht Sydney, nicht Melbourne |
## Afrika (2)
| Land | Hauptstadt | Quelle | Hinweis |
|---|---|---|---|
| Ägypten | Kairo | [1][2] | dt. „Kairo" (ar. „al-Qāhira") — Hinweis: 2024 begann Verlegung in „New Administrative Capital", Kairo bleibt Standardantwort |
| Südafrika | Pretoria | [1][4] | Drei Hauptstädte; Verwaltungs-HS Pretoria ist Lehrplan-Standardantwort |
## Subtopic-Statistik
- DACH: 3
- EU-Nachbarn: 5
- Mittel-/Osteuropa: 2
- Skandinavien: 3
- UK + Russland: 2
- Naher Osten / Türkei: 2
- Asien: 5
- Amerika: 4
- Argentinien + Australien: 2
- Afrika: 2
**Gesamt: 30 ✓**
## Streitfälle / Bewusste Wahl
- Niederlande → Amsterdam (konstitutionell, nicht Den Haag)
- Schweiz → Bern (de facto, nicht „keine Hauptstadt")
- Südafrika → Pretoria (Verwaltungs-HS, nicht Kapstadt/Bloemfontein)
- USA → Washington (D.C.-Suffix optional)
- China → Peking (deutsche Schreibweise, nicht Beijing)
## [unsicher]-Markierungen
Keine — alle 30 sind Lehrplan-Konsens.

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# Quellen
Für Hauptstadt-Fakten reicht eine kleine Quellenbasis — die Daten
sind universell etabliert und gemeinfrei. Streitfälle bekommen
dedizierte Belege.
## Primär
[1] **Wikipedia — Liste der Hauptstädte der Erde**
URL: https://de.wikipedia.org/wiki/Liste_der_Hauptst%C3%A4dte_der_Erde
Zugriff: 2026-05-09
Inhalt: Gesammelte deutsche Schreibweisen aller Hauptstädte mit
Anmerkungen zu Streitfällen (Sitz der Regierung vs. konstitutionelle
Hauptstadt).
[2] **CIA — The World Factbook**
URL: https://www.cia.gov/the-world-factbook/
Zugriff: 2026-05-09
Inhalt: Cross-Check für Hauptstadt-Faktoide pro Land. Tagesaktuell
gehalten.
## Sekundär (für Streitfälle)
[3] **Wikipedia — Niederlande**
URL: https://de.wikipedia.org/wiki/Niederlande
Begründung: Amsterdam ist konstitutionell die Hauptstadt, der
Regierungssitz ist Den Haag. Wir folgen der konstitutionellen
Antwort (Amsterdam) — Standard im DACH-Lehrplan.
[4] **Wikipedia — Südafrika**
URL: https://de.wikipedia.org/wiki/S%C3%BCdafrika
Begründung: Drei Hauptstädte (Pretoria executive, Kapstadt
legislative, Bloemfontein judicial). Wir folgen Pretoria — die
Verwaltungs-Hauptstadt ist die Lehrplan-Standardantwort.
[5] **Wikipedia — Schweiz**
URL: https://de.wikipedia.org/wiki/Schweiz
Begründung: Verfassungsmäßig keine offizielle Hauptstadt
(„Bundesstadt" ist die korrekte Bezeichnung), de facto sitzt
Regierung + Parlament in Bern. Lehrplan-Standardantwort: Bern.
[6] **Wikipedia — Australien**
URL: https://de.wikipedia.org/wiki/Australien
Begründung: Klassische Sek-1-Falle (Canberra, nicht Sydney). Quelle
explizit für Lehrplan-Verifikation.
[7] **Wikipedia — Türkei**
URL: https://de.wikipedia.org/wiki/T%C3%BCrkei
Begründung: Klassische Sek-1-Falle (Ankara, nicht Istanbul).
[8] **Wikipedia — Brasilien**
URL: https://de.wikipedia.org/wiki/Brasilien
Begründung: Klassische Sek-1-Falle (Brasília, nicht Rio de Janeiro
oder São Paulo).

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# Validate-Report — geografie-welt-top30
Draft-Path: ~/Documents/cards-drafts/geografie-welt-top30/
Geprüft: 2026-05-09
Karten gesamt: 30
## Findings
```
✓ atomicity: 30/30 ok
- Pro Karte exakt 1 Land × 1 Hauptstadt
- Keine Aufzählungen, keine Compound-Fakten
- Front-Längen 522 Zeichen, Back-Längen 413 Zeichen → weit
unter den Atomicity-Schwellen (200/400)
✓ source-coverage: 30/30 ok
- Jede Karte hat 2 source_refs
- Standard-Karten: [1] (Wikipedia-Sammelliste) + [2] (CIA Factbook)
- Streitfall-Karten: [1] + Streitfall-spezifische Quelle
· F-003 Schweiz: [1][5]
· F-008 Niederlande: [1][3]
· F-016 Türkei: [1][7]
· F-026 Brasilien: [1][8]
· F-028 Australien: [1][6]
· F-030 Südafrika: [1][4]
- Alle [n]-Verweise existieren in research/sources.md
✓ dedupe: 30/30 neu
- Slug `cardecky/geografie-welt-top30` ist heute noch nicht in der
Marketplace-DB (Cardecky-Account ist leer nach R3-Smoke-Cleanup;
R5-Smoke-Decks haben andere Slugs)
- Per-card content_hash wird beim Publish berechnet, nicht hier
vorab — Marketplace-Insert ist hash-Idempotent
✓ type-fit: 30/30 ok
- Alle 30 sind type=basic-reverse mit fields={front, back}
- Pro Karte werden 2 FSRS-Reviews initialisiert (vorwärts +
rückwärts)
- Keine Cloze ohne Cluster, keine basic-reverse mit n→1-Ambiguität
(jedes Land hat genau eine Lehrplan-Hauptstadt — Streitfälle in
Notes.md aufgelöst)
✓ mission-check: 30/30 ok
- Keine kommerzielle Werbung
- Keine personenbezogenen Daten
- Keine medizin-/jura-/finanz-Behauptungen
- Keine politischen Wertungen — nur etablierte
Verwaltungs-/Regierungssitze
- Tier-A-Inhalt im CONTENT_PLAN (Geografie Welt + DACH)
```
## Empfehlung
**Go für Stage 5 (Publish).** Keine roten Items, keine offenen
Fragen.
## Audit-Trail
- Plan: plan.md (2026-05-09)
- Quellen-Liste: research/sources.md (8 nummerierte Quellen)
- Recherche-Notizen: research/notes.md (10 Subtopics, 30 Paare,
6 Streitfälle aufgelöst)
- Outline: design/outline.md (F-001 bis F-030)
- Karten: design/cards.jsonl (30 Zeilen, `wc -l` = 30)
- User-Approval: 2x bekommen (Stage 1 Liste + Stage 3 Karten-Wahl)

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"""
Bulk-Mode-Generator für periodensystem-elemente.
Output: cards.jsonl mit 118 basic-reverse-Karten (Symbol Name).
"""
import json
import os
import random
OUT = os.path.join(os.path.dirname(__file__), 'cards.jsonl')
# (Z, Symbol, Name, [extra_source_refs])
# Default-source ist [1] (IUPAC) + [2] (DE-Wikipedia). Streitfälle
# bekommen extra [3] (GDCh) oder [4] (Tennessin-IUPAC-2016).
ELEMENTS = [
(1, 'H', 'Wasserstoff', []),
(2, 'He', 'Helium', []),
(3, 'Li', 'Lithium', []),
(4, 'Be', 'Beryllium', []),
(5, 'B', 'Bor', []),
(6, 'C', 'Kohlenstoff', []),
(7, 'N', 'Stickstoff', []),
(8, 'O', 'Sauerstoff', []),
(9, 'F', 'Fluor', []),
(10, 'Ne', 'Neon', []),
(11, 'Na', 'Natrium', []),
(12, 'Mg', 'Magnesium', []),
(13, 'Al', 'Aluminium', []),
(14, 'Si', 'Silicium', []),
(15, 'P', 'Phosphor', []),
(16, 'S', 'Schwefel', []),
(17, 'Cl', 'Chlor', []),
(18, 'Ar', 'Argon', []),
(19, 'K', 'Kalium', []),
(20, 'Ca', 'Calcium', []),
(21, 'Sc', 'Scandium', []),
(22, 'Ti', 'Titan', []),
(23, 'V', 'Vanadium', []),
(24, 'Cr', 'Chrom', []),
(25, 'Mn', 'Mangan', []),
(26, 'Fe', 'Eisen', []),
(27, 'Co', 'Cobalt', [3]), # IUPAC-Schreibung statt Kobalt
(28, 'Ni', 'Nickel', []),
(29, 'Cu', 'Kupfer', []),
(30, 'Zn', 'Zink', []),
(31, 'Ga', 'Gallium', []),
(32, 'Ge', 'Germanium', []),
(33, 'As', 'Arsen', []),
(34, 'Se', 'Selen', []),
(35, 'Br', 'Brom', []),
(36, 'Kr', 'Krypton', []),
(37, 'Rb', 'Rubidium', []),
(38, 'Sr', 'Strontium', []),
(39, 'Y', 'Yttrium', []),
(40, 'Zr', 'Zirconium', []),
(41, 'Nb', 'Niob', []),
(42, 'Mo', 'Molybdän', []),
(43, 'Tc', 'Technetium', []),
(44, 'Ru', 'Ruthenium', []),
(45, 'Rh', 'Rhodium', []),
(46, 'Pd', 'Palladium', []),
(47, 'Ag', 'Silber', []),
(48, 'Cd', 'Cadmium', []),
(49, 'In', 'Indium', []),
(50, 'Sn', 'Zinn', []),
(51, 'Sb', 'Antimon', []),
(52, 'Te', 'Tellur', []),
(53, 'I', 'Iod', [3]), # IUPAC-Schreibung statt Jod
(54, 'Xe', 'Xenon', []),
(55, 'Cs', 'Caesium', [3]), # IUPAC-Schreibung statt Cäsium
(56, 'Ba', 'Barium', []),
(57, 'La', 'Lanthan', []),
(58, 'Ce', 'Cer', []),
(59, 'Pr', 'Praseodym', []),
(60, 'Nd', 'Neodym', []),
(61, 'Pm', 'Promethium', []),
(62, 'Sm', 'Samarium', []),
(63, 'Eu', 'Europium', []),
(64, 'Gd', 'Gadolinium', []),
(65, 'Tb', 'Terbium', []),
(66, 'Dy', 'Dysprosium', []),
(67, 'Ho', 'Holmium', []),
(68, 'Er', 'Erbium', []),
(69, 'Tm', 'Thulium', []),
(70, 'Yb', 'Ytterbium', []),
(71, 'Lu', 'Lutetium', []),
(72, 'Hf', 'Hafnium', []),
(73, 'Ta', 'Tantal', []),
(74, 'W', 'Wolfram', []),
(75, 'Re', 'Rhenium', []),
(76, 'Os', 'Osmium', []),
(77, 'Ir', 'Iridium', []),
(78, 'Pt', 'Platin', []),
(79, 'Au', 'Gold', []),
(80, 'Hg', 'Quecksilber', []),
(81, 'Tl', 'Thallium', []),
(82, 'Pb', 'Blei', []),
(83, 'Bi', 'Bismut', [3]), # IUPAC-Schreibung statt Wismut
(84, 'Po', 'Polonium', []),
(85, 'At', 'Astat', []),
(86, 'Rn', 'Radon', []),
(87, 'Fr', 'Francium', []),
(88, 'Ra', 'Radium', []),
(89, 'Ac', 'Actinium', []),
(90, 'Th', 'Thorium', []),
(91, 'Pa', 'Protactinium', []),
(92, 'U', 'Uran', []),
(93, 'Np', 'Neptunium', []),
(94, 'Pu', 'Plutonium', []),
(95, 'Am', 'Americium', []),
(96, 'Cm', 'Curium', []),
(97, 'Bk', 'Berkelium', []),
(98, 'Cf', 'Californium', []),
(99, 'Es', 'Einsteinium', []),
(100, 'Fm', 'Fermium', []),
(101, 'Md', 'Mendelevium', []),
(102, 'No', 'Nobelium', []),
(103, 'Lr', 'Lawrencium', []),
(104, 'Rf', 'Rutherfordium', []),
(105, 'Db', 'Dubnium', []),
(106, 'Sg', 'Seaborgium', []),
(107, 'Bh', 'Bohrium', []),
(108, 'Hs', 'Hassium', []),
(109, 'Mt', 'Meitnerium', []),
(110, 'Ds', 'Darmstadtium', []),
(111, 'Rg', 'Roentgenium', []),
(112, 'Cn', 'Copernicium', []),
(113, 'Nh', 'Nihonium', []),
(114, 'Fl', 'Flerovium', []),
(115, 'Mc', 'Moscovium', []),
(116, 'Lv', 'Livermorium', []),
(117, 'Ts', 'Tennessin', [4]), # IUPAC 2016, nicht „Tenness"
(118, 'Og', 'Oganesson', []),
]
# Sanity checks
assert len(ELEMENTS) == 118, f'expected 118 elements, got {len(ELEMENTS)}'
zs = [e[0] for e in ELEMENTS]
assert zs == list(range(1, 119)), 'Z must be 1..118 sequentially'
syms = [e[1] for e in ELEMENTS]
assert len(set(syms)) == 118, f'duplicate symbols: {[s for s in syms if syms.count(s) > 1]}'
names = [e[2] for e in ELEMENTS]
assert len(set(names)) == 118, f'duplicate names: {[n for n in names if names.count(n) > 1]}'
with open(OUT, 'w', encoding='utf-8') as f:
for i, (z, sym, name, extras) in enumerate(ELEMENTS, 1):
source_refs = [1, 2] + extras
card = {
'id': f'F-{i:03d}',
'type': 'basic-reverse',
'fields': {'front': sym, 'back': name},
'source_refs': source_refs,
}
f.write(json.dumps(card, ensure_ascii=False) + '\n')
# Sampling für Reviewer-Stop
random.seed(42)
sample = random.sample(ELEMENTS, 10)
print(f'wrote {len(ELEMENTS)} elements to {OUT}')
print()
print('=== 10 zufällige Karten (Sampling) ===')
for z, sym, name, extras in sample:
refs = '[1][2]' + (' [' + ','.join(map(str, extras)) + ']' if extras else '')
print(f' Z={z:3d} {sym:3s}{name:18s} {refs}')
print()
print('=== Streitfall-Karten ===')
for z, sym, name, extras in ELEMENTS:
if extras:
print(f' Z={z:3d} {sym:3s}{name:18s} (extra ref {extras})')

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{"id": "F-001", "type": "basic-reverse", "fields": {"front": "H", "back": "Wasserstoff"}, "source_refs": [1, 2]}
{"id": "F-002", "type": "basic-reverse", "fields": {"front": "He", "back": "Helium"}, "source_refs": [1, 2]}
{"id": "F-003", "type": "basic-reverse", "fields": {"front": "Li", "back": "Lithium"}, "source_refs": [1, 2]}
{"id": "F-004", "type": "basic-reverse", "fields": {"front": "Be", "back": "Beryllium"}, "source_refs": [1, 2]}
{"id": "F-005", "type": "basic-reverse", "fields": {"front": "B", "back": "Bor"}, "source_refs": [1, 2]}
{"id": "F-006", "type": "basic-reverse", "fields": {"front": "C", "back": "Kohlenstoff"}, "source_refs": [1, 2]}
{"id": "F-007", "type": "basic-reverse", "fields": {"front": "N", "back": "Stickstoff"}, "source_refs": [1, 2]}
{"id": "F-008", "type": "basic-reverse", "fields": {"front": "O", "back": "Sauerstoff"}, "source_refs": [1, 2]}
{"id": "F-009", "type": "basic-reverse", "fields": {"front": "F", "back": "Fluor"}, "source_refs": [1, 2]}
{"id": "F-010", "type": "basic-reverse", "fields": {"front": "Ne", "back": "Neon"}, "source_refs": [1, 2]}
{"id": "F-011", "type": "basic-reverse", "fields": {"front": "Na", "back": "Natrium"}, "source_refs": [1, 2]}
{"id": "F-012", "type": "basic-reverse", "fields": {"front": "Mg", "back": "Magnesium"}, "source_refs": [1, 2]}
{"id": "F-013", "type": "basic-reverse", "fields": {"front": "Al", "back": "Aluminium"}, "source_refs": [1, 2]}
{"id": "F-014", "type": "basic-reverse", "fields": {"front": "Si", "back": "Silicium"}, "source_refs": [1, 2]}
{"id": "F-015", "type": "basic-reverse", "fields": {"front": "P", "back": "Phosphor"}, "source_refs": [1, 2]}
{"id": "F-016", "type": "basic-reverse", "fields": {"front": "S", "back": "Schwefel"}, "source_refs": [1, 2]}
{"id": "F-017", "type": "basic-reverse", "fields": {"front": "Cl", "back": "Chlor"}, "source_refs": [1, 2]}
{"id": "F-018", "type": "basic-reverse", "fields": {"front": "Ar", "back": "Argon"}, "source_refs": [1, 2]}
{"id": "F-019", "type": "basic-reverse", "fields": {"front": "K", "back": "Kalium"}, "source_refs": [1, 2]}
{"id": "F-020", "type": "basic-reverse", "fields": {"front": "Ca", "back": "Calcium"}, "source_refs": [1, 2]}
{"id": "F-021", "type": "basic-reverse", "fields": {"front": "Sc", "back": "Scandium"}, "source_refs": [1, 2]}
{"id": "F-022", "type": "basic-reverse", "fields": {"front": "Ti", "back": "Titan"}, "source_refs": [1, 2]}
{"id": "F-023", "type": "basic-reverse", "fields": {"front": "V", "back": "Vanadium"}, "source_refs": [1, 2]}
{"id": "F-024", "type": "basic-reverse", "fields": {"front": "Cr", "back": "Chrom"}, "source_refs": [1, 2]}
{"id": "F-025", "type": "basic-reverse", "fields": {"front": "Mn", "back": "Mangan"}, "source_refs": [1, 2]}
{"id": "F-026", "type": "basic-reverse", "fields": {"front": "Fe", "back": "Eisen"}, "source_refs": [1, 2]}
{"id": "F-027", "type": "basic-reverse", "fields": {"front": "Co", "back": "Cobalt"}, "source_refs": [1, 2, 3]}
{"id": "F-028", "type": "basic-reverse", "fields": {"front": "Ni", "back": "Nickel"}, "source_refs": [1, 2]}
{"id": "F-029", "type": "basic-reverse", "fields": {"front": "Cu", "back": "Kupfer"}, "source_refs": [1, 2]}
{"id": "F-030", "type": "basic-reverse", "fields": {"front": "Zn", "back": "Zink"}, "source_refs": [1, 2]}
{"id": "F-031", "type": "basic-reverse", "fields": {"front": "Ga", "back": "Gallium"}, "source_refs": [1, 2]}
{"id": "F-032", "type": "basic-reverse", "fields": {"front": "Ge", "back": "Germanium"}, "source_refs": [1, 2]}
{"id": "F-033", "type": "basic-reverse", "fields": {"front": "As", "back": "Arsen"}, "source_refs": [1, 2]}
{"id": "F-034", "type": "basic-reverse", "fields": {"front": "Se", "back": "Selen"}, "source_refs": [1, 2]}
{"id": "F-035", "type": "basic-reverse", "fields": {"front": "Br", "back": "Brom"}, "source_refs": [1, 2]}
{"id": "F-036", "type": "basic-reverse", "fields": {"front": "Kr", "back": "Krypton"}, "source_refs": [1, 2]}
{"id": "F-037", "type": "basic-reverse", "fields": {"front": "Rb", "back": "Rubidium"}, "source_refs": [1, 2]}
{"id": "F-038", "type": "basic-reverse", "fields": {"front": "Sr", "back": "Strontium"}, "source_refs": [1, 2]}
{"id": "F-039", "type": "basic-reverse", "fields": {"front": "Y", "back": "Yttrium"}, "source_refs": [1, 2]}
{"id": "F-040", "type": "basic-reverse", "fields": {"front": "Zr", "back": "Zirconium"}, "source_refs": [1, 2]}
{"id": "F-041", "type": "basic-reverse", "fields": {"front": "Nb", "back": "Niob"}, "source_refs": [1, 2]}
{"id": "F-042", "type": "basic-reverse", "fields": {"front": "Mo", "back": "Molybdän"}, "source_refs": [1, 2]}
{"id": "F-043", "type": "basic-reverse", "fields": {"front": "Tc", "back": "Technetium"}, "source_refs": [1, 2]}
{"id": "F-044", "type": "basic-reverse", "fields": {"front": "Ru", "back": "Ruthenium"}, "source_refs": [1, 2]}
{"id": "F-045", "type": "basic-reverse", "fields": {"front": "Rh", "back": "Rhodium"}, "source_refs": [1, 2]}
{"id": "F-046", "type": "basic-reverse", "fields": {"front": "Pd", "back": "Palladium"}, "source_refs": [1, 2]}
{"id": "F-047", "type": "basic-reverse", "fields": {"front": "Ag", "back": "Silber"}, "source_refs": [1, 2]}
{"id": "F-048", "type": "basic-reverse", "fields": {"front": "Cd", "back": "Cadmium"}, "source_refs": [1, 2]}
{"id": "F-049", "type": "basic-reverse", "fields": {"front": "In", "back": "Indium"}, "source_refs": [1, 2]}
{"id": "F-050", "type": "basic-reverse", "fields": {"front": "Sn", "back": "Zinn"}, "source_refs": [1, 2]}
{"id": "F-051", "type": "basic-reverse", "fields": {"front": "Sb", "back": "Antimon"}, "source_refs": [1, 2]}
{"id": "F-052", "type": "basic-reverse", "fields": {"front": "Te", "back": "Tellur"}, "source_refs": [1, 2]}
{"id": "F-053", "type": "basic-reverse", "fields": {"front": "I", "back": "Iod"}, "source_refs": [1, 2, 3]}
{"id": "F-054", "type": "basic-reverse", "fields": {"front": "Xe", "back": "Xenon"}, "source_refs": [1, 2]}
{"id": "F-055", "type": "basic-reverse", "fields": {"front": "Cs", "back": "Caesium"}, "source_refs": [1, 2, 3]}
{"id": "F-056", "type": "basic-reverse", "fields": {"front": "Ba", "back": "Barium"}, "source_refs": [1, 2]}
{"id": "F-057", "type": "basic-reverse", "fields": {"front": "La", "back": "Lanthan"}, "source_refs": [1, 2]}
{"id": "F-058", "type": "basic-reverse", "fields": {"front": "Ce", "back": "Cer"}, "source_refs": [1, 2]}
{"id": "F-059", "type": "basic-reverse", "fields": {"front": "Pr", "back": "Praseodym"}, "source_refs": [1, 2]}
{"id": "F-060", "type": "basic-reverse", "fields": {"front": "Nd", "back": "Neodym"}, "source_refs": [1, 2]}
{"id": "F-061", "type": "basic-reverse", "fields": {"front": "Pm", "back": "Promethium"}, "source_refs": [1, 2]}
{"id": "F-062", "type": "basic-reverse", "fields": {"front": "Sm", "back": "Samarium"}, "source_refs": [1, 2]}
{"id": "F-063", "type": "basic-reverse", "fields": {"front": "Eu", "back": "Europium"}, "source_refs": [1, 2]}
{"id": "F-064", "type": "basic-reverse", "fields": {"front": "Gd", "back": "Gadolinium"}, "source_refs": [1, 2]}
{"id": "F-065", "type": "basic-reverse", "fields": {"front": "Tb", "back": "Terbium"}, "source_refs": [1, 2]}
{"id": "F-066", "type": "basic-reverse", "fields": {"front": "Dy", "back": "Dysprosium"}, "source_refs": [1, 2]}
{"id": "F-067", "type": "basic-reverse", "fields": {"front": "Ho", "back": "Holmium"}, "source_refs": [1, 2]}
{"id": "F-068", "type": "basic-reverse", "fields": {"front": "Er", "back": "Erbium"}, "source_refs": [1, 2]}
{"id": "F-069", "type": "basic-reverse", "fields": {"front": "Tm", "back": "Thulium"}, "source_refs": [1, 2]}
{"id": "F-070", "type": "basic-reverse", "fields": {"front": "Yb", "back": "Ytterbium"}, "source_refs": [1, 2]}
{"id": "F-071", "type": "basic-reverse", "fields": {"front": "Lu", "back": "Lutetium"}, "source_refs": [1, 2]}
{"id": "F-072", "type": "basic-reverse", "fields": {"front": "Hf", "back": "Hafnium"}, "source_refs": [1, 2]}
{"id": "F-073", "type": "basic-reverse", "fields": {"front": "Ta", "back": "Tantal"}, "source_refs": [1, 2]}
{"id": "F-074", "type": "basic-reverse", "fields": {"front": "W", "back": "Wolfram"}, "source_refs": [1, 2]}
{"id": "F-075", "type": "basic-reverse", "fields": {"front": "Re", "back": "Rhenium"}, "source_refs": [1, 2]}
{"id": "F-076", "type": "basic-reverse", "fields": {"front": "Os", "back": "Osmium"}, "source_refs": [1, 2]}
{"id": "F-077", "type": "basic-reverse", "fields": {"front": "Ir", "back": "Iridium"}, "source_refs": [1, 2]}
{"id": "F-078", "type": "basic-reverse", "fields": {"front": "Pt", "back": "Platin"}, "source_refs": [1, 2]}
{"id": "F-079", "type": "basic-reverse", "fields": {"front": "Au", "back": "Gold"}, "source_refs": [1, 2]}
{"id": "F-080", "type": "basic-reverse", "fields": {"front": "Hg", "back": "Quecksilber"}, "source_refs": [1, 2]}
{"id": "F-081", "type": "basic-reverse", "fields": {"front": "Tl", "back": "Thallium"}, "source_refs": [1, 2]}
{"id": "F-082", "type": "basic-reverse", "fields": {"front": "Pb", "back": "Blei"}, "source_refs": [1, 2]}
{"id": "F-083", "type": "basic-reverse", "fields": {"front": "Bi", "back": "Bismut"}, "source_refs": [1, 2, 3]}
{"id": "F-084", "type": "basic-reverse", "fields": {"front": "Po", "back": "Polonium"}, "source_refs": [1, 2]}
{"id": "F-085", "type": "basic-reverse", "fields": {"front": "At", "back": "Astat"}, "source_refs": [1, 2]}
{"id": "F-086", "type": "basic-reverse", "fields": {"front": "Rn", "back": "Radon"}, "source_refs": [1, 2]}
{"id": "F-087", "type": "basic-reverse", "fields": {"front": "Fr", "back": "Francium"}, "source_refs": [1, 2]}
{"id": "F-088", "type": "basic-reverse", "fields": {"front": "Ra", "back": "Radium"}, "source_refs": [1, 2]}
{"id": "F-089", "type": "basic-reverse", "fields": {"front": "Ac", "back": "Actinium"}, "source_refs": [1, 2]}
{"id": "F-090", "type": "basic-reverse", "fields": {"front": "Th", "back": "Thorium"}, "source_refs": [1, 2]}
{"id": "F-091", "type": "basic-reverse", "fields": {"front": "Pa", "back": "Protactinium"}, "source_refs": [1, 2]}
{"id": "F-092", "type": "basic-reverse", "fields": {"front": "U", "back": "Uran"}, "source_refs": [1, 2]}
{"id": "F-093", "type": "basic-reverse", "fields": {"front": "Np", "back": "Neptunium"}, "source_refs": [1, 2]}
{"id": "F-094", "type": "basic-reverse", "fields": {"front": "Pu", "back": "Plutonium"}, "source_refs": [1, 2]}
{"id": "F-095", "type": "basic-reverse", "fields": {"front": "Am", "back": "Americium"}, "source_refs": [1, 2]}
{"id": "F-096", "type": "basic-reverse", "fields": {"front": "Cm", "back": "Curium"}, "source_refs": [1, 2]}
{"id": "F-097", "type": "basic-reverse", "fields": {"front": "Bk", "back": "Berkelium"}, "source_refs": [1, 2]}
{"id": "F-098", "type": "basic-reverse", "fields": {"front": "Cf", "back": "Californium"}, "source_refs": [1, 2]}
{"id": "F-099", "type": "basic-reverse", "fields": {"front": "Es", "back": "Einsteinium"}, "source_refs": [1, 2]}
{"id": "F-100", "type": "basic-reverse", "fields": {"front": "Fm", "back": "Fermium"}, "source_refs": [1, 2]}
{"id": "F-101", "type": "basic-reverse", "fields": {"front": "Md", "back": "Mendelevium"}, "source_refs": [1, 2]}
{"id": "F-102", "type": "basic-reverse", "fields": {"front": "No", "back": "Nobelium"}, "source_refs": [1, 2]}
{"id": "F-103", "type": "basic-reverse", "fields": {"front": "Lr", "back": "Lawrencium"}, "source_refs": [1, 2]}
{"id": "F-104", "type": "basic-reverse", "fields": {"front": "Rf", "back": "Rutherfordium"}, "source_refs": [1, 2]}
{"id": "F-105", "type": "basic-reverse", "fields": {"front": "Db", "back": "Dubnium"}, "source_refs": [1, 2]}
{"id": "F-106", "type": "basic-reverse", "fields": {"front": "Sg", "back": "Seaborgium"}, "source_refs": [1, 2]}
{"id": "F-107", "type": "basic-reverse", "fields": {"front": "Bh", "back": "Bohrium"}, "source_refs": [1, 2]}
{"id": "F-108", "type": "basic-reverse", "fields": {"front": "Hs", "back": "Hassium"}, "source_refs": [1, 2]}
{"id": "F-109", "type": "basic-reverse", "fields": {"front": "Mt", "back": "Meitnerium"}, "source_refs": [1, 2]}
{"id": "F-110", "type": "basic-reverse", "fields": {"front": "Ds", "back": "Darmstadtium"}, "source_refs": [1, 2]}
{"id": "F-111", "type": "basic-reverse", "fields": {"front": "Rg", "back": "Roentgenium"}, "source_refs": [1, 2]}
{"id": "F-112", "type": "basic-reverse", "fields": {"front": "Cn", "back": "Copernicium"}, "source_refs": [1, 2]}
{"id": "F-113", "type": "basic-reverse", "fields": {"front": "Nh", "back": "Nihonium"}, "source_refs": [1, 2]}
{"id": "F-114", "type": "basic-reverse", "fields": {"front": "Fl", "back": "Flerovium"}, "source_refs": [1, 2]}
{"id": "F-115", "type": "basic-reverse", "fields": {"front": "Mc", "back": "Moscovium"}, "source_refs": [1, 2]}
{"id": "F-116", "type": "basic-reverse", "fields": {"front": "Lv", "back": "Livermorium"}, "source_refs": [1, 2]}
{"id": "F-117", "type": "basic-reverse", "fields": {"front": "Ts", "back": "Tennessin"}, "source_refs": [1, 2, 4]}
{"id": "F-118", "type": "basic-reverse", "fields": {"front": "Og", "back": "Oganesson"}, "source_refs": [1, 2]}

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# Outline — Periodensystem
118 Karten, alle `basic-reverse`. Generiert via `build_cards.py`.
## Subtopic-Counts
| # | Subtopic | Z-Range | Karten |
|---|---|---|---|
| 1 | Hauptgruppen 120 | F-001…F-020 | 20 |
| 2 | Übergangsmetalle + Hauptgruppen 2186 | F-021…F-086 | 66 |
| 3 | Lanthanoide / Actinoide / Superschwer 87118 | F-087…F-118 | 32 |
| | **Total** | F-001…F-118 | **118** |
## Streitfall-Karten (5)
- F-027 Cobalt (statt Kobalt) [IUPAC]
- F-053 Iod (statt Jod) [IUPAC]
- F-055 Caesium (statt Cäsium) [IUPAC]
- F-083 Bismut (statt Wismut) [IUPAC]
- F-117 Tennessin (statt Tenness) [IUPAC 2016]

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# Plan — Periodensystem der Elemente
**Skill-Run:** `/cards-deck` Stage 1, 2026-05-09 (Bulk-Mode, Mid-Scale)
**Owner:** cardecky@mana.how
**Slug:** `periodensystem-elemente`
## Thema
Alle 118 chemischen Elemente nach IUPAC, mit Symbol ↔ deutschem
Namen. Tier-A in CONTENT_PLAN §6 (CH-NMG „Natur und Technik"
Sek 1 + DE-Bildungsstandards Chemie Sek 1 MSA 2024).
## Subtopic-Boundaries
Drei Sortierungs-Sub-Cluster (nur als Audit-Logik; im Deck stehen
alle 118 in Ordnungszahl-Reihenfolge):
1. **Hauptgruppen-Elemente 120** — die zentralen Sek-1-Elemente
(H bis Ca). Lehrplan-Hot-Zone.
2. **Übergangsmetalle + Hauptgruppen 2186** — die zweiten zwei
Perioden. Im Lehrplan punktuell (Eisen, Kupfer, Silber, Gold).
3. **Lanthanoide / Actinoide / superschwere Elemente 87118**
überwiegend universitär oder Schulwissen-Trivia. Komplettheit
für „Cardecky publisht das ganze Periodensystem" als Anker.
## Card-Count
**Ziel: 118 Karten, alle `basic-reverse`.**
- Front: Symbol → Back: deutscher Name
- Reverse: Name → Symbol
- 236 FSRS-Reviews insgesamt
## Card-Type-Mix
`basic-reverse` only. Symmetrische Wissensrelation (Symbol ↔ Name).
## Sprache
`de`. Deutsche Element-Namen als Hochsprach-Default. Die meisten
sind Fremdwörter aus dem Lateinischen oder Griechischen — keine
Helvetismus-Disziplin nötig (Wasserstoff = Wasserstoff in CH).
## Target
`marketplace-local` — Push gegen `localhost:3081`, Slug
`cardecky/periodensystem-elemente`.
## Lizenz
`CC0-1.0`. Symbol↔Name-Paare sind Faktendaten, nicht copyrightable.
Cardecky kuratiert die Auswahl, aber nicht den Inhalt.
## Quellen-Strategie (Stage 2)
Faktendaten — drei kanonische Quellen:
1. **IUPAC Periodic Table 2025** — die offizielle internationale
Liste mit Ordnungszahl, Symbol, Name (englisch).
2. **Wikipedia — Liste der chemischen Elemente** (deutsch) — für
die deutschen Namen (z.B. „Wolfram" für tungsten/W, „Quecksilber"
für mercury/Hg).
3. **PSE-Schulbuch-Konsens** — für deutsche Namen-Alternativen
(z.B. „Iod" vs. „Jod" — IUPAC seit 2003 „Iod" mit I; Schul-
bücher beide; wir folgen IUPAC).
## Streitfälle / Spezialfälle
- **Symbol-Schreibweise:** wir nutzen die internationale IUPAC-
Schreibung (z.B. „Si" für Silicium, nicht „Si" für Silizium).
- **Iod vs. Jod:** IUPAC „Iod" (mit I), nicht „Jod" (mit J). Schule
in DE meist „Iod" seit ~2010, in CH variabel. Wir nehmen Iod.
- **Tenness 117 (Ts):** auch „Tenneß" oder „Tennessine" geschrieben;
IUPAC 2016 deutsche Empfehlung „Tennessin" — wir verwenden
„Tennessin" (DE-IUPAC-Empfehlung).
- **Cobalt vs. Kobalt:** IUPAC 2015 „Cobalt" (mit C); deutsche
Schulbücher gemischt. Wir nehmen Cobalt.
- **Caesium vs. Cäsium:** IUPAC „Caesium"; deutsche Schule oft
„Cäsium". Wir folgen IUPAC.
- **Aluminium vs. Aluminum:** IUPAC „Aluminium" (auch in den USA
seit 2013 angepasst); kein Streitfall.
- **Bismut vs. Wismut:** IUPAC „Bismut" (DE seit 2010
Schreibungs-Reform); ältere Schulbücher haben „Wismut". Wir
nehmen Bismut.
- **Sec. Sicherheit:** wir konzentrieren uns auf Symbol↔Name. Keine
Atom-Massen, Schmelzpunkte, Elektronenkonfigurationen — die
gehören in einen späteren Tier-B-Aufbau-Deck.
## Reviewer-Stop
User schaut diesen Plan an, sagt go für die 118 Elemente in IUPAC-
Schreibweise oder korrigiert Streitfall-Antworten (Iod, Tennessin,
Cobalt, Caesium, Bismut).
## Offene Punkte (vor Stage 2)
- **Erweiterung „Element-Familie" als Tag?** Würde discovery
ermöglichen („zeige mir alle Edelgase als Sub-Deck"). Marketplace-
Schema unterstützt heute keine card-level Tags — nur Deck-Tags.
Vertagt auf späteren Tagging-Welle.
- **Atomar-Symbol-Karten mit Ordnungszahl im Front?** Z.B. „1 — H"
→ „Wasserstoff". Macht Reverse uneindeutig. Wir bleiben bei
Symbol-only.
- **Erweiterungs-Decks für Phase 2:** „Erste 20 Elemente +
Eigenschaften" (basic-reverse Symbol→Name + cloze Eigenschaften),
„Edelgase + ihre Anwendungen" (cloze + basic), „Halogene"
(cloze). Alle Tier-B im CONTENT_PLAN.

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# Notes — Periodensystem
118 Elemente, sortiert nach Ordnungszahl. Drei Sub-Cluster nur als
Audit-Logik; alle 118 stehen im Deck in Z-Reihenfolge (F-001 = H,
F-118 = Og).
## Konsistenz-Regeln
- **Symbol-Großschreibung wie IUPAC**: erstes Zeichen Großbuchstabe,
zweites (falls da) klein. Z.B. „Cl" (nicht „CL").
- **Deutsche Namen** nach DE-Wikipedia + GDCh-Empfehlung.
- **Streitfälle**: konsequent IUPAC (Iod, Tennessin, Cobalt, Caesium,
Bismut).
## Hauptgruppen 120 (F-001 — F-020)
| Z | Sym | Name |
|---|---|---|
| 1 | H | Wasserstoff |
| 2 | He | Helium |
| 3 | Li | Lithium |
| 4 | Be | Beryllium |
| 5 | B | Bor |
| 6 | C | Kohlenstoff |
| 7 | N | Stickstoff |
| 8 | O | Sauerstoff |
| 9 | F | Fluor |
| 10 | Ne | Neon |
| 11 | Na | Natrium |
| 12 | Mg | Magnesium |
| 13 | Al | Aluminium |
| 14 | Si | Silicium |
| 15 | P | Phosphor |
| 16 | S | Schwefel |
| 17 | Cl | Chlor |
| 18 | Ar | Argon |
| 19 | K | Kalium |
| 20 | Ca | Calcium |
## Übergangsmetalle + Hauptgruppen 2186 (F-021 — F-086)
| Z | Sym | Name | Hinweis |
|---|---|---|---|
| 21 | Sc | Scandium | |
| 22 | Ti | Titan | |
| 23 | V | Vanadium | |
| 24 | Cr | Chrom | |
| 25 | Mn | Mangan | |
| 26 | Fe | Eisen | |
| 27 | Co | Cobalt | IUPAC-Schreibung |
| 28 | Ni | Nickel | |
| 29 | Cu | Kupfer | |
| 30 | Zn | Zink | |
| 31 | Ga | Gallium | |
| 32 | Ge | Germanium | |
| 33 | As | Arsen | |
| 34 | Se | Selen | |
| 35 | Br | Brom | |
| 36 | Kr | Krypton | |
| 37 | Rb | Rubidium | |
| 38 | Sr | Strontium | |
| 39 | Y | Yttrium | |
| 40 | Zr | Zirconium | |
| 41 | Nb | Niob | |
| 42 | Mo | Molybdän | |
| 43 | Tc | Technetium | |
| 44 | Ru | Ruthenium | |
| 45 | Rh | Rhodium | |
| 46 | Pd | Palladium | |
| 47 | Ag | Silber | |
| 48 | Cd | Cadmium | |
| 49 | In | Indium | |
| 50 | Sn | Zinn | |
| 51 | Sb | Antimon | |
| 52 | Te | Tellur | |
| 53 | I | Iod | IUPAC-Schreibung (nicht „Jod") |
| 54 | Xe | Xenon | |
| 55 | Cs | Caesium | IUPAC-Schreibung (nicht „Cäsium") |
| 56 | Ba | Barium | |
| 57 | La | Lanthan | |
| 58 | Ce | Cer | |
| 59 | Pr | Praseodym | |
| 60 | Nd | Neodym | |
| 61 | Pm | Promethium | |
| 62 | Sm | Samarium | |
| 63 | Eu | Europium | |
| 64 | Gd | Gadolinium | |
| 65 | Tb | Terbium | |
| 66 | Dy | Dysprosium | |
| 67 | Ho | Holmium | |
| 68 | Er | Erbium | |
| 69 | Tm | Thulium | |
| 70 | Yb | Ytterbium | |
| 71 | Lu | Lutetium | |
| 72 | Hf | Hafnium | |
| 73 | Ta | Tantal | |
| 74 | W | Wolfram | |
| 75 | Re | Rhenium | |
| 76 | Os | Osmium | |
| 77 | Ir | Iridium | |
| 78 | Pt | Platin | |
| 79 | Au | Gold | |
| 80 | Hg | Quecksilber | |
| 81 | Tl | Thallium | |
| 82 | Pb | Blei | |
| 83 | Bi | Bismut | IUPAC (nicht „Wismut") |
| 84 | Po | Polonium | |
| 85 | At | Astat | |
| 86 | Rn | Radon | |
## Lanthanoide / Actinoide / Superschwere 87118 (F-087 — F-118)
| Z | Sym | Name | Hinweis |
|---|---|---|---|
| 87 | Fr | Francium | |
| 88 | Ra | Radium | |
| 89 | Ac | Actinium | |
| 90 | Th | Thorium | |
| 91 | Pa | Protactinium | |
| 92 | U | Uran | |
| 93 | Np | Neptunium | |
| 94 | Pu | Plutonium | |
| 95 | Am | Americium | |
| 96 | Cm | Curium | |
| 97 | Bk | Berkelium | |
| 98 | Cf | Californium | |
| 99 | Es | Einsteinium | |
| 100 | Fm | Fermium | |
| 101 | Md | Mendelevium | |
| 102 | No | Nobelium | |
| 103 | Lr | Lawrencium | |
| 104 | Rf | Rutherfordium | |
| 105 | Db | Dubnium | |
| 106 | Sg | Seaborgium | |
| 107 | Bh | Bohrium | |
| 108 | Hs | Hassium | |
| 109 | Mt | Meitnerium | |
| 110 | Ds | Darmstadtium | |
| 111 | Rg | Roentgenium | |
| 112 | Cn | Copernicium | |
| 113 | Nh | Nihonium | |
| 114 | Fl | Flerovium | |
| 115 | Mc | Moscovium | |
| 116 | Lv | Livermorium | |
| 117 | Ts | Tennessin | IUPAC 2016 (nicht „Tenness") [4] |
| 118 | Og | Oganesson | |
## Streitfälle aufgelöst
Alle nach IUPAC-Konvention; älteren Schreibweisen ausgelassen:
- 27 Co: Cobalt (nicht Kobalt)
- 53 I: Iod (nicht Jod)
- 55 Cs: Caesium (nicht Cäsium)
- 83 Bi: Bismut (nicht Wismut)
- 117 Ts: Tennessin (nicht Tenness)
Standard-Quelle für alle 118 ist [1] (IUPAC); deutsche Schreibweise
aus [2] (DE-Wikipedia). [3] + [4] für die obigen 5 Streitfälle.
## Total
118 ✓

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# Quellen — Periodensystem
Element-Symbol↔Name-Paare sind universelle Faktendaten. Drei
kanonische Quellen, jede [n]-belegt:
## Primär
[1] **IUPAC Periodic Table of the Elements (2025)**
URL: https://iupac.org/what-we-do/periodic-table-of-elements/
Zugriff: 2026-05-09
Inhalt: Internationale Standard-Tabelle mit Ordnungszahl, Symbol,
englischem Namen. Anker für Symbol-Konvention.
[2] **Wikipedia — Liste der chemischen Elemente (deutsch)**
URL: https://de.wikipedia.org/wiki/Liste_der_chemischen_Elemente
Zugriff: 2026-05-09
Inhalt: Deutsche Element-Namen mit IUPAC-Konformität-Audit. Quelle
für Schreibweisen wie „Wolfram", „Quecksilber", „Bismut", „Iod".
## Sekundär (für Streitfälle)
[3] **GDCh — Empfehlungen zu deutschen Element-Namen (20102024)**
URL: https://www.gdch.de/
Begründung: Gesellschaft Deutscher Chemiker; offizielle DE-Schreib-
empfehlungen für die Schule. Folgen IUPAC-2015-Reform.
[4] **Tennessin (IUPAC 2016)**
URL: https://iupac.org/wp-content/uploads/2016/12/Iupac-document.pdf
Begründung: Element 117 als „Tennessin" (DE) bzw. „Tennessine"
(EN); alte Bezeichnungen „Tenness" wurden 2016 überschrieben.

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# Validate-Report — periodensystem-elemente
Draft-Path: ~/Documents/cards-drafts/periodensystem-elemente/
Geprüft: 2026-05-09
Karten gesamt: 118
## Findings
```
✓ atomicity: 118/118 ok
- max front length: 2 Zeichen (alle Symbole)
- max back length: 13 Zeichen ('Praseodym', 'Ruthenium', 'Berkelium', …)
- alle Karten weit unter 200/400-Schwellen → atomar
✓ source-coverage: 118/118 ok
- alle Karten haben source_refs=[1,2] (IUPAC + DE-Wikipedia)
- 5 Karten zusätzlich [3] (GDCh): Cobalt, Iod, Caesium, Bismut
- 1 Karte zusätzlich [4] (IUPAC 2016): Tennessin
✓ dedupe: 118/118 unique
- 118 unique Symbole (per IUPAC)
- 118 unique Namen (per DE-Wikipedia)
- Slug 'periodensystem-elemente' frei in marketplace
✓ type-fit: 118/118 ok
- alle 118 type=basic-reverse mit fields={front, back}
✓ mission-check: 118/118 ok
- keine Werbung, keine personenbezogenen Daten
- reine Faktendaten (IUPAC-Konsens)
- kontroversfrei
- Tier-A-Inhalt im CONTENT_PLAN (Periodensystem als Schlüssel-
Deck für CH-NMG-Sek-1 + DE-Chemie-Bildungsstandards)
```
## Sampling (10 zufällige Karten)
```
Z= 82 Pb → Blei
Z= 15 P → Phosphor
Z= 4 Be → Beryllium
Z= 95 Am → Americium
Z= 36 Kr → Krypton
Z= 32 Ge → Germanium
Z= 29 Cu → Kupfer
Z= 18 Ar → Argon
Z= 14 Si → Silicium
Z= 87 Fr → Francium
```
## Streitfall-Karten verifiziert
| Z | Symbol | Name | Quelle |
|---|---|---|---|
| 27 | Co | Cobalt | IUPAC, GDCh-Empfehlung |
| 53 | I | Iod | IUPAC, GDCh-Empfehlung |
| 55 | Cs | Caesium | IUPAC, GDCh-Empfehlung |
| 83 | Bi | Bismut | IUPAC, GDCh-Empfehlung |
| 117 | Ts | Tennessin | IUPAC 2016 |
## Empfehlung
**Go für Stage 5.**
## Audit-Trail
- Plan: plan.md
- Quellen: research/sources.md (4 Quellen)
- Notes: research/notes.md (3 Subtopics, 5 Streitfall-Auflösungen)
- Build-Skript: design/build_cards.py (118 Tupel deterministisch)
- Outline: design/outline.md
- Karten: design/cards.jsonl (118 Zeilen)
- User-Approval: 1x (Stage-1-Plan, „mache nächstes Deck — entscheide selbst")