Skip to main content

continuous-learning-v2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

Aller à l'installation

Informations de source

Dépôt
mit-network/everything-claude-code
Dernière activité de la source
3 avril 2026 à 01:02
Langue détectée de SKILL.md
anglais
Étoiles
80
Forks
16

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Explorateur de fichiers
10 fichiers

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
continuous-learning-v2
description
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
origin
ECC
version
2.1.0
# Continuous Learning v2.1 - Instinct -Based Architecture An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring. **v2.1** adds **project-scoped instincts** — React patterns stay in your React project, Python conventions stay in your Python project, and universal patterns (like "always validate input") are shared globally. ## When to Activate - Setting up automatic learning from Claude Code sessions - Configuring instinct-based behavior extraction via hooks - Tuning confidence thresholds for learned behaviors - Reviewing, exporting, or importing instinct libraries - Evolving instincts into full skills, commands, or agents - Managing project-scoped vs global instincts - Promoting instincts from project to global scope ## What's New in v2.1 | Feature | v2.0 | v2.1 | |---------|------|------| | Storage | Global (~/.claude/homunculus/) | Project-scoped (projects/<hash>/) | | Scope | All instincts apply everywhere | Project-scoped + global | | Detection | None | git remote URL / repo path | | Promotion | N/A | Project → global when seen in 2+ projects | | Commands | 4 (status/evolve/export/import) | 6 (+promote/projects) | | Cross-project | Contamination risk | Isolated by default | ## What's New in v2 (vs v1) | Feature | v1 | v2 | |---------|----|----| | Observation | Stop hook (session end) | PreToolUse/PostToolUse (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 | ## The Instinct Model An instinct is a small learned behavior: ```yaml --- id: prefer-functional-style trigger: "when writing new functions" confidence: 0.7 domain: "code-style" source: "session-observation" scope: project project_id: "a1b2c3d4e5f6" project_name: "my-react-app" --- # Prefer Functional Style ## Action Use functional patterns over classes when appropriate. ## Evidence - Observed 5 instances of functional pattern preference - User corrected class-based approach to functional on 2025-01-15 ``` **Properties:** - **Atomic** -- one trigger, one action - **Confidence-weighted** -- 0.3 = tentative, 0.9 = near certain - **Domain-tagged** -- code-style, testing, git, debugging, workflow, etc. - **Evidence-backed** -- tracks what observations created it - **Scope-aware** -- `project` (default) or `global` ## How It Works ``` Session Activity (in a git repo) | | Hooks capture prompts + tool use (100% reliable) | + detect project context (git remote / repo path) v +---------------------------------------------+ | projects/<project-hash>/observations.jsonl | | (prompts, tool calls, outcomes, project) | +---------------------------------------------+ | | Observer agent reads (background, Haiku) v +---------------------------------------------+ | PATTERN DETECTION | | * User corrections -> instinct | | * Error resolutions -> instinct | | * Repeated workflows -> instinct | | * Scope decision: project or global? | +---------------------------------------------+ | | Creates/updates v +---------------------------------------------+ | projects/<project-hash>/instincts/personal/ | | * prefer-functional.yaml (0.7) [project] | | * use-react-hooks.yaml (0.9) [project] | +---------------------------------------------+ | instincts/personal/ (GLOBAL) | | * always-validate-input.yaml (0.85) [global]| | * grep-before-edit.yaml (0.6) [global] | +---------------------------------------------+ | | /evolve clusters + /promote v +---------------------------------------------+ | projects/<hash>/evolved/ (project-scoped) | | evolved/ (global) | | * commands/new-feature.md | | * skills/testing-workflow.md | | * agents/refactor-specialist.md | +---------------------------------------------+ ``` ## Project Detection The system automatically detects your current project: 1. **`CLAUDE_PROJECT_DIR` env var** (highest priority) 2. **`git remote get-url origin`** -- hashed to create a portable project ID (same repo on different machines gets the same ID) 3. **`git rev-parse --show-toplevel`** -- fallback using repo path (machine-specific) 4. **Global fallback** -- if no project is detected, instincts go to global scope Each project gets a 12-character hash ID (e.g., `a1b2c3d4e5f6`). A registry file at `~/.claude/homunculus/projects.json` maps IDs to human-readable names. ## Quick Start ### 1. Enable Observation Hooks Add to your `~/.claude/settings.json`. **If installed as a plugin** (recommended): ```json { "hooks": { "PreToolUse": [{ "matcher": "*", "hooks": [{ "type": "command", "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh" }] }], "PostToolUse": [{ "matcher": "*", "hooks": [{ "type": "command", "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh" }] }] } } ``` **If installed manually** to `~/.claude/skills`: ```json { "hooks": { "PreToolUse": [{ "matcher": "*", "hooks": [{ "type": "command", "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh" }] }], "PostToolUse": [{ "matcher": "*", "hooks": [{ "type": "command", "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh" }] }] } } ``` ### 2. Initialize Directory Structure The system creates directories automatically on first use, but you can also create them manually: ```bash # Global directories mkdir -p ~/.claude/homunculus/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects} # Project directories are auto-created when the hook first runs in a git repo ``` ### 3. Use the Instinct Commands ```bash /instinct-status # Show learned instincts (project + global) /evolve # Cluster related instincts into skills/commands /instinct-export # Export instincts to file /instinct-import # Import instincts from others /promote # Promote project instincts to global scope /projects # List all known projects and their instinct counts ``` ## Commands | Command | Description | |---------|-------------| | `/instinct-status` | Show all instincts (project-scoped + global) with confidence | | `/evolve` | Cluster related instincts into skills/commands, suggest promotions | | `/instinct-export` | Export instincts (filterable by scope/domain) | | `/instinct-import <file>` | Import instincts with scope control | | `/promote [id]` | Promote project instincts to global scope | | `/projects` | List all known projects and their instinct counts | ## Configuration Edit `config.json` to control the background observer: ```json { "version": "2.1", "observer": { "enabled": false, "run_interval_minutes": 5, "min_observations_to_analyze": 20 } } ``` | Key | Default | Description | |-----|---------|-------------| | `observer.enabled` | `false` | Enable the background observer agent | | `observer.run_interval_minutes` | `5` | How often the observer analyzes observations | | `observer.min_observations_to_analyze` | `20` | Minimum observations before analysis runs | Other behavior (observation capture, instinct thresholds, project scoping, promotion criteria) is configured via code defaults in `instinct-cli.py` and `observe.sh`. ## File Structure ``` ~/.claude/homunculus/ +-- identity.json # Your profile, technical level +-- projects.json # Registry: project hash -> name/path/remote +-- observations.jsonl # Global observations (fallback) +-- instincts/ | +-- personal/ # Global auto-learned instincts | +-- inherited/ # Global imported instincts +-- evolved/ | +-- agents/ # Global generated agents | +-- skills/ # Global generated skills | +-- commands/ # Global generated commands +-- projects/ +-- a1b2c3d4e5f6/ # Project hash (from git remote URL) | +-- project.json # Per-project metadata mirror (id/name/root/remote) | +-- observations.jsonl | +-- observations.archive/ | +-- instincts/ | | +-- personal/ # Project-specific auto-learned | | +-- inherited/ # Project-specific imported | +-- evolved/ | +-- skills/ | +-- commands/ | +-- agents/ +-- f6e5d4c3b2a1/ # Another project +-- ... ``` ## Scope Decision Guide | Pattern Type | Scope | Examples | |-------------|-------|---------| | Language/framework conventions | **project** | "Use React hooks", "Follow Django REST patterns" | | File structure preferences | **project** | "Tests in `__tests__`/", "Components in src/components/" | | Code style | **project** | "Use functional style", "Prefer dataclasses" |
Voir sur GitHub
Ce SKILL.md est tres volumineux, SkillsMP affiche donc ici seulement la premiere section. Voir sur GitHub