continuous-learning
Automatically extract reusable patterns from Gemini CLI sessions and save them as learned skills for future use.
ソース情報
- リポジトリ
- Jamkris/everything-gemini-code
- ソースの最終更新活動
- 2026年4月22日 06:43
- 検出された SKILL.md の言語
- 英語
- スター
- 91
- フォーク
- 23
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- continuous-learning
- description
- Automatically extract reusable patterns from Gemini CLI sessions and save them as learned skills for future use.
# Continuous Learning Skill
Automatically evaluates Gemini CLI 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:
1. **Session Evaluation**: Checks if session has enough messages (default: 10+)
2. **Pattern Detection**: Identifies extractable patterns from the session
3. **Skill Extraction**: Saves useful patterns to `~/.gemini/skills/learned/`
## Configuration
Edit `config.json` to customize:
```json
{
"min_session_length": 10,
"extraction_threshold": "medium",
"auto_approve": false,
"learned_skills_path": "~/.gemini/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 `~/.gemini/settings.json`:
```json
{
"hooks": {
"Stop": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.gemini/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](https://x.com/Jamkris/status/2014040193557471352) - Section on continuous learning
- `/egc-learn` command - 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
1. **Instinct-based learning** - Smaller, atomic behaviors with confidence scoring
2. **Background observer** - Haiku agent analyzing in parallel
3. **Confidence decay** - Instincts lose confidence if contradicted
4. **Domain tagging** - code-style, testing, git, debugging, etc.
5. **Evolution path** - Cluster related instincts into skills/commands
See: `/Users/affoon/Documents/tasks/12-continuous-learning-v2.md` for full spec.
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