Agent Skills
› NeverSight/learn-skills.dev
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continuous-learning
GitHub在会话结束时自动分析交互记录，提取可复用的错误解决、调试技巧等模式，并保存为技能供未来使用，实现持续学习。
Trigger Scenarios
需要总结会话中的通用解决方案
希望从历史对话中沉淀最佳实践
Install
npx skills add NeverSight/learn-skills.dev --skill continuous-learning -g -y
SKILL.md
Frontmatter
{
"name": "continuous-learning",
"description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use."
}
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 → cluster → skill/command/agent |
| Sharing | None | Export/import instincts |
Key insight from homunculus:
"v1 relied on skills to observe. Skills are probabilistic—they 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.
Version History
- e0220ca Current 2026-07-05 23:53
