continuous-learning
429
总安装量
430
周安装量
#639
全站排名
安装命令
npx skills add https://github.com/affaan-m/everything-claude-code --skill continuous-learning
Agent 安装分布
claude-code
342
opencode
301
gemini-cli
273
antigravity
217
cursor
208
Skill 文档
Continuous Learning Skill
Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.
How It Works
This skill runs as a Stop hook at the end of each session:
- Session Evaluation: Checks if session has enough messages (default: 10+)
- Pattern Detection: Identifies extractable patterns from the session
- Skill Extraction: Saves useful patterns to
~/.claude/skills/learned/
Configuration
Edit config.json to customize:
{
"min_session_length": 10,
"extraction_threshold": "medium",
"auto_approve": false,
"learned_skills_path": "~/.claude/skills/learned/",
"patterns_to_detect": [
"error_resolution",
"user_corrections",
"workarounds",
"debugging_techniques",
"project_specific"
],
"ignore_patterns": [
"simple_typos",
"one_time_fixes",
"external_api_issues"
]
}
Pattern Types
| Pattern | Description |
|---|---|
error_resolution |
How specific errors were resolved |
user_corrections |
Patterns from user corrections |
workarounds |
Solutions to framework/library quirks |
debugging_techniques |
Effective debugging approaches |
project_specific |
Project-specific conventions |
Hook Setup
Add to your ~/.claude/settings.json:
{
"hooks": {
"Stop": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
}]
}]
}
}
Why Stop Hook?
- Lightweight: Runs once at session end
- Non-blocking: Doesn’t add latency to every message
- Complete context: Has access to full session transcript
Related
- The Longform Guide – Section on continuous learning
/learncommand – Manual pattern extraction mid-session
Comparison Notes (Research: Jan 2025)
vs Homunculus (github.com/humanplane/homunculus)
Homunculus v2 takes a more sophisticated approach:
| Feature | Our Approach | Homunculus v2 |
|---|---|---|
| Observation | Stop hook (end of session) | PreToolUse/PostToolUse hooks (100% reliable) |
| Analysis | Main context | Background agent (Haiku) |
| Granularity | Full skills | Atomic “instincts” |
| Confidence | None | 0.3-0.9 weighted |
| Evolution | Direct to skill | Instincts â cluster â skill/command/agent |
| Sharing | None | Export/import instincts |
Key insight from homunculus:
“v1 relied on skills to observe. Skills are probabilisticâthey fire ~50-80% of the time. v2 uses hooks for observation (100% reliable) and instincts as the atomic unit of learned behavior.”
Potential v2 Enhancements
- Instinct-based learning – Smaller, atomic behaviors with confidence scoring
- Background observer – Haiku agent analyzing in parallel
- Confidence decay – Instincts lose confidence if contradicted
- Domain tagging – code-style, testing, git, debugging, etc.
- Evolution path – Cluster related instincts into skills/commands
See: /Users/affoon/Documents/tasks/12-continuous-learning-v2.md for full spec.