anki-card-creator
Convert medical textbook content, lecture notes, and study materials into Anki flashcards using spaced repetition optimization.
Skill by LeoYeAI
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: presentations, writing, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/anki-card-creator
What's inside
- Skill name
anki-card-creator- Description
- Convert medical textbook content, lecture notes, and study materials into Anki flashcards using spaced repetition optimization. Supports multiple card types (basic, cloze, image occlusion) with automated tagging and deck organization for efficient medical exam preparation.
- License
- MIT
- Metadata
- skill-author: AIPOCH
- Instructions
- 535 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
- body: 535 lines (spec recommends under 500)
Files (5)
- SKILL.md
- _meta.json
- anki_cards.txt
- requirements.txt
- main.py · scripts/
SKILL.md (first lines)
# Anki Card Creator
## Overview
Intelligent flashcard generation tool that transforms medical study materials into Anki-compatible cards optimized for long-term retention through evidence-based spaced repetition.
**Key Capabilities:**
- **Multi-Format Input**: PDF textbooks, lecture slides, notes, web articles
- **Card Type Selection**: Basic, reversible, cloze deletion, image occlusion
- **Spaced Repetition Optimization**: Cards formatted for optimal review intervals
- **Automated Tagging**: Hierarchical organization by subject and topic
- **Media Integration**: Auto-download and embed relevant images
- **Batch Processing**: Convert entire chapters or courses efficiently
## When to Use
**✅ Use this skill when:**
- Preparing for medical board exams (USMLE, MCAT, specialty boards)
- Memorizing drug names, mechanisms, and side effects
- Learning anatomy structures and relationships
- Retaining biochemical pathways and reactions
- Creating pathology differential diagnosis cards
- Converting lecture notes to active recall format
- Building comprehensive review decks from textbooks
**❌ Do NOT use when:**
- Learning conceptual understanding → Use textbooks/videos first
- Memorizing without context → Ensure comprehension before card creation
- Creating cards for rapidly changing information → Use current resources
- Substituting clinical experience → Cards supplement, not replace practice
- Complex procedural skills → Use simulation or hands-on training
**Integration:**
- **Upstream**: `abstract-summarizer` (textbook chapter condensation), `pdf-text-extractor` (content extraction)
- **Downstream**: `anki-sync-server` (cloud backup), `study-schedule-optimizer` (review planning)
## Core Capabilities
### 1. Cloze Deletion Generation
Create fill-in-the-blank cards from dense text:
```python
from scripts.card_creator import AnkiCardCreator
creator = AnkiCardCreator()
# Generate cloze cards from text
text = """
Acute inflammation is characterized by five cardinal signs:
redness (rubor), heat (calor), swelling (tumor), pain (dolor),
and loss of function (functio laesa). These result from
vasodilation, increased vascular permeability, and leukocyte
infiltration.
"""
cards = creator.create_cloze_cards(
text=text,
n_cards=3, # Generate 3 cards from this text
difficulty="intermediate",
tags=["Pathology", "Inflammation", "General_Pathology"]
)
# Output format (Anki-compatible)
# Card 1: "Acute inflammation is characterized by {{c1::five}} cardinal signs..."
# Card 2: "...signs: {{c1::redness}} (rubor), {{c2::heat}} (calor)..."
```
**Cloze Strategies:**
| Strategy | Use Case | Example |
|----------|----------|---------|
| **Single Deletion** | Key facts | "The {{c1::liver}} is the largest internal organ" |
| **Multiple Deletions** | Lists/groups | "CRAB symptoms: {{c1::Calcium}}, {{c2::Renal}}, {{c3::Anemia}}, {{c4::Bone}}" |
| **Hierarchical** | Progressive detail | "{{c1::Metformin}} is a {{c2::biguanide}} that {{c3::decreases hepatic glucose production}}" |
### 2. Basic and Reversible Cards
Generate question-answer pairs:
```python
# Create basic cards
cards = creator.create_basic_cards(
content={
"What is the mechanism of action of penicillin?":
"Inhibition of bacterial cell wall synthesis by binding to PBPs",
"What are the major side effects of ACE inhibitors?":
"Dry cough, hyperkalemia, angioedema, hypotension"
},
reversible=True, # Create reverse cards too
tags=["Pharmacology", "Antibiotics"]
)
```
**Card Types:**
- **Basic**: Question → Answer
- **Reversible**: Both directions (Q→A and A→Q)
- **Type-in**: Student types answer for active recall
- **Hint Cards**: Progressive disclosure with hints
### 3. Image Occlusion Cards
Create visual learning cards from diagrams:
```python
# Image occlusion for anatomy
cards = creator.create_image_occlusion(
image_path="brachial_plexus.png",
occlude_regions=[
{"label": "Musculocutaneous nerve", "coords": (120, 200, 200, 240)},
{"label": "Median nerve", "coords": (300, 250, 380, 290)},
{"label": "Ulnar nerve", "coords": (400, 280, 480, 320)}
],
card_type="one_by_one" # or "all_at_once"
)
```
**Occlusion Types:**
- **One by One**: Reveal structures progressively
- **All at Once**: Identify all occluded regionsFrom LeoYeAI/openclaw-master-skills, MIT.
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Signals
- Stars
- 2,168
- Forks
- 325
- Open issues
- 13
- Last commit (this folder)
- Jun 29, 2026 (4 months ago)
- Last release
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- myclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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anki-card-creator skill. Agent Mart. https://agentmart.dev/skills/leoyeai-anki-card-creator (last updated 2026-10-24)