STEM Flashcard Generation
Generates atomic flashcards from STEM source material with three output modes: interactive React artifact, Anki TSV export, or direct Anki push via MCP.
What this file does
Generates atomic flashcards from STEM source material with three output modes: interactive React artifact, Anki TSV export, or direct Anki push via MCP.
When to use it
- User requests flashcards from lecture notes or textbooks with math notation
- You need to produce Anki-ready cards without manual import steps
- Building interactive study cards with client-side LaTeX rendering
- Generating spaced repetition content from technical documents
Assumes this stack
name: generating-stem-flashcards description: "Generates atomic flashcards from technical/STEM source material. Supports three output modes: (1) interactive React artifacts with client-side KaTeX rendering, (2) Anki-ready TSV export with MathJax-compatible LaTeX, or (3) direct push to Anki via MCP Server (no export/import step). Use when users request flashcards, study cards, revision cards, Anki cards, quiz materials, or spaced repetition content from lecture notes, textbooks, or worksheets containing mathematical notation."
STEM Flashcard Generation
Output Mode Detection
Detect the output mode from the user's request:
Artifact mode (default): "flashcards", "interactive", "artifact", "study cards", "revision cards" Anki mode (TSV export): "anki", "anki deck", "for anki", "import into anki", "anki export", "export to anki" Anki mode (MCP direct): "send to anki", "push to anki", "add to anki directly", "anki mcp", "create in anki"
If ambiguous, ask the user. Default to artifact mode. If the user says "anki" without specifying, ask whether they want a TSV file or direct push via MCP.
Dependencies
Artifact mode
No CLI dependencies required. The React artifact handles KaTeX rendering client-side.
Recommended complementary skills from anthropics/skills:
frontend-design— Improved React artifact rendering and stylingpdf— Better extraction from scanned/complex PDFsdocx— Preserves formatting from Word documents
Anki mode (TSV export)
No dependencies required (uses raw LaTeX with MathJax delimiters).
Anki mode (MCP direct)
Requires:
- Anki 25.x or later running locally
- Anki MCP Server addon installed (code:
124672614) Install: Tools → Add-ons → Get Add-ons → enter124672614→ restart Anki - Server auto-starts on
http://127.0.0.1:3141/when Anki opens
No file export or manual import needed — cards are pushed directly into Anki.
Shared Workflow (All Modes)
Step 1: Extract Topics
Identify topic boundaries from section headings or conceptual groupings.
Step 2: Generate Cards
For each topic, create cards across three layers:
- L1 (Recall): Facts, definitions, formulas
- L2 (Understanding): Why/how, connections, intuition
- L3 (Boundaries): Limitations, edge cases, when things break
See references/COGNITIVE_LAYERS.md for layer definitions, card types, and answer constraints.
Step 3: Validate Cards
Check each card against atomicity rules and refusal policy.
See references/ATOMICITY.md for atomicity definition, refusal policy, and quality checklist.
For LaTeX syntax lookup: references/LATEX_SYNTAX.md
Mode-Specific Workflow
After completing Steps 1–3, branch based on the detected mode:
→ Artifact Mode
Read and follow artifact/WORKFLOW.md. Summary:
- Write raw LaTeX strings (NOT compiled HTML)
- Build artifact from
artifact/template.jsx - Save to
/mnt/user-data/outputs/[name]_flashcards.jsx - Present draft
→ Anki Mode (TSV Export)
Read and follow anki/WORKFLOW.md. Summary:
- Wrap LaTeX in MathJax delimiters (see
anki/RENDERING.md) - Build 5-column TSV with per-card tags
- Save to
/mnt/user-data/outputs/[name]_anki.txt - Present draft with import instructions from
anki/IMPORT_GUIDE.md
→ Anki Mode (MCP — Direct Push)
Read and follow anki/MCP_WORKFLOW.md. Summary:
- Wrap LaTeX in MathJax delimiters (see
anki/RENDERING.md) - Ensure note type "3-Layer Card" and target deck exist (auto-created if missing)
- Push cards directly to Anki via
add_note - Report results — no import step needed
Communication Style
Report progress in phases, not steps. Use compact formats:
Extracted 8 topics. Generating cards...
Draft: 45 cards (L1: 18, L2: 15, L3: 12). Review and let me know changes.
For iterations: "Updated card 12. ✓"
Omit rendering mechanics (KaTeX/MathJax) from user-facing messages.
What's inside
3 output modes, 3-step shared workflow, mode-specific workflows, communication style guide, and references to 3 support files
Change this for your project
- Replace
jalliet/flashcardswith your own repository name in the source link - Replace
/mnt/user-data/outputs/with your own output directory path - Replace
124672614with your own Anki addon code if different
Where it goes
Save as SKILL.md inside a skill folder. Loaded when the agent selects that skill.
Worth borrowing
- Three cognitive layers (L1 recall, L2 understanding, L3 boundaries) for card generation
- Phase-based progress reporting instead of step-by-step to reduce verbosity
- Mode detection from user keywords with fallback to ask when ambiguous
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