Anki Fusion is an AI-powered skill that automatically transforms PDFs, articles, and text notes into cognitive-optimized Anki flashcards using Bloom's taxonomy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install anki-fusion
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install anki-fusion using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Anki Fusion?
Anki Fusion is a cutting-edge developer and learner tool designed to transform unstructured educational materials into high-retention study resources. By leveraging advanced cognitive science principles like Bloom's taxonomy and Anki best practices, the skill analyzes your source material—such as textbook chapters, Markdown notes, or research papers—to extract atomic knowledge points and generate optimized flashcard formats.
As a highly recommended addition to your suite of Openclaw Skills, Anki Fusion eliminates the tedious process of manual card creation. It systematically categorizes information into distinct learning levels (from raw facts to algorithmic applications) and maps them to specialized templates, ensuring your active recall sessions are both efficient and scientifically structured.
Anki Fusion Use Cases
- Transforming complex textbooks and technical PDF chapters into reviewable study decks automatically.
- Extracting definitions, code snippets, and formulas from online documentation and technical wikis.
- Preparing for exams or technical interviews by importing custom Markdown notes and generating structured, prioritized flashcards.
- Improving long-term knowledge retention for multi-language materials, supporting English, Chinese, and mixed-language content.
- Accelerating self-study workflows by converting raw study text directly into .apkg files compatible with Anki.
How Anki Fusion Works
- Material Parsing: Accepts inputs like PDFs, URLs, Markdown files, or raw text and extracts structured paragraphs.
- Atomic Deconstruction: Identifies and separates core knowledge points including processes, formulas, definitions, and code blocks.
- Cognitive Classification: Uses Bloom's taxonomy to classify each point into Remember, Understand, Apply, or Analyze levels.
- Best-Practice Optimization: Formulates questions and clozes conforming to active recall principles (one fact per card, clear hints, context preservation).
- Multi-Template Mapping: Generates specific card styles (Basic Q&A, Cloze deletion, syntax-highlighted Code, or Image occlusion).
- Metadata & Tagging: Appends tags, priority levels, and custom mnemonics for optimized deck organization.
- Interactive Preview: Presents a 5-card preview for the user to review, edit, drop, or merge before final output.
- Export: Outputs a directly importable
.apkgfile alongside cognitive and statistical analytics.
Anki Fusion Setup
Installation
To integrate this with your active Openclaw Skills, install the package via your CLI:
npm install -g @openclaw/anki-fusion
Configuration
Ensure your environment variables are configured with your preferred AI provider:
export ANKI_FUSION_API_KEY="your-llm-api-key"
Basic CLI Usage
Generate flashcards from files, web pages, or strings:
# Generate cards from a local PDF
anki-fusion generate --input chapter3.pdf --subject "Computer Networks"
# Generate cards from a web page
anki-fusion generate --input https://en.wikipedia.org/wiki/Red%E2%80%93black_tree --subject "Data Structures" --difficulty hard
# Generate cards from raw text
anki-fusion generate --input "The OSI model has 7 layers: Physical, Data Link..." --topic "Networking Basics"
Anki Fusion Data Schema & Taxonomy
Anki Fusion structures its processed data and output using a clean metadata schema to ensure seamless integration with the Anki ecosystem.
Generated Package Schema (.apkg)
| Data Element | Type | Description |
|---|---|---|
| Card Type | String | Basic, Cloze, Code, or Image |
| Bloom Level | Enum | Remember, Understand, Apply, Analyze |
| Tags | List | Subject, chapter, and difficulty tags |
| Priority | Enum | high-frequency, exam-focused, supplementary |
| Front Content | Text / HTML | Structured question or cloze context |
| Back Content | Text / HTML | Answer, explanation, or syntax-highlighted code |
| Mnemonics | Text | Contextual study tip or mnemonic hint |
Study Statistics Structure
Upon execution, the tool outputs an execution report containing:
- Total Cards: Count grouped by template and Bloom level.
- Estimated Study Time: Calculated based on complexity parameters.
- Tag Taxonomy: Organized hierarchy mapping your study notes to Anki sub-decks.
Anki Fusion Advanced Features
- Interactive Revision Commands: Interactively refine generated cards during the preview phase using commands like
drop,merge,rewrite, andretagto polish outputs before export. - Cognitive Mapping Engine: Powered by Bloom's taxonomy to ensure that simple facts get cloze deletions while logic-heavy concepts get complex coding or analytical templates.
- Direct .apkg compilation: Skips manual CSV importing by packaging resources, metadata, and styling straight into a native Anki deck file.
- Openclaw Skills Ecosystem Compatibility: Seamlessly runs alongside other Openclaw Skills for research, document management, and automated study workflows.
- Bilingual and Mixed-Language Support: Fluent processing of multi-language materials, seamlessly handling technical terms across mixed Chinese and English text.
SKILL.md
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