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git clone https://github.com/DomeSlayerPhase/learn-anything-637.git
cd learn-anything-637
npm install
npm startAI-powered recursive learning system — turns your AI coding assistant into an interactive tutor using the Socratic method and TDD-style exercises.
Generate skill and command files for 30+ AI tools (Claude Code, Cursor, Gemini CLI, Codex, Copilot, Windsurf, etc.), then use slash commands to systematically master any technical topic.
npx learn-anything-cli init
npx learn-anything-cli init --tools claude
npx learn-anything-cli init --lang zh-CN
learn-anything init
After init, your AI assistant gains five learning commands:
| Command | What it does |
| -------------------------------- | ------------------------------------------------------------ |
| `/learn:topic <topic-name>` | Initialize a topic, generate a knowledge map, track progress |
| `/learn:explain <concept-name>` | Recursive Socratic deep-dive into a concept |
| `/learn:practice <concept-name>` | TDD-style coding exercises with Socratic feedback |
| `/learn:review [topic-name]` | Review progress, spaced repetition recommendations |
| `/learn:status [topic-name]` | Visualize learning state as a knowledge map heatmap |
## Learning Workflows
### `/learn:topic <topic-name>` — Initialize a Topic
The AI generates a hierarchical knowledge map (`.learn/topics/<topic>/knowledge-map.md`), creates a learning state tracker (`state.yaml`), and presents the landscape for you to choose your own path.
### `/learn:explain <concept-name>` — Recursive Deep Dive
The AI assesses your level (beginner → advanced), explains the concept with analogies and code examples, identifies deeper sub-topics, and lets you choose how deep to go. Every session is recorded for spaced repetition.
### `/learn:practice <concept-name>` — TDD-Style Exercises
The AI generates a test-driven exercise at the right difficulty (beginner / intermediate / challenge), provides structured Socratic feedback, and updates your mastery status. Edge cases, security, and code quality are all covered.
### `/learn:review [topic-name]` — Progress Review
Analyzes your learning data: mastery heatmap, spaced repetition priority scoring, concept relationship analysis (blocking / orphan concepts). Generates a personalized next-step plan.
### `/learn:status [topic-name]` — Visualize State
Renders a knowledge map heatmap with status icons, practice counts, and confidence scores for every concept.
## Supported AI Tools
Manage, Amazon Q Developer, Antigravity, Auggie, Bob Shell, Claude Code, Cline, Codex, ForgeCode, CodeBuddy Code, Continue, CoStrict, Crush, Cursor, Factory Droid, Gemini CLI, GitHub Copilot, iFlow, Junie, Kilo Code, Kiro, OpenCode, Pi, Qoder, Lingma, Qwen Code, RooCode, Trae, Windsurf, and AGENTS.md-compatible assistants.
```bash
# Update skill files to latest version (detects existing tools automatically)
npx learn-anything-cli update
Your Project/
├── .claude/commands/learn/ # Slash commands (learn:topic, learn:explain, ...)
├── .claude/skills/ # Skill files with full workflow instructions
├── .cursor/commands/ # Cursor-specific command format
├── .gemini/commands/learn/ # Gemini TOML-format commands
├── .learn/ # Your learning data (knowledge maps, progress)
│ └── topics/
│ └── javascript/
│ ├── knowledge-map.md
│ ├── state.yaml
│ └── sessions/
└── ...
Each AI tool gets tool-appropriate file formats (YAML frontmatter for Claude, TOML for Gemini, etc.) via an adapter pattern.
pnpm build # Compile TypeScript
pnpm test # Run tests
pnpm dev # Watch mode
pnpm dev:cli # Build and run CLI locallyMIT