continuous-learning

# 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.