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.
npx skills add mturac/everything-openai-codex --skill continuous-learning-v2 --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Continuous Learning v2.1 - Instinct -Based Architecture An advanced learning system that turns your OpenAI Codex 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 OpenAI Codex 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 (`~/.codex/homunculus/`) | Project-scoped (`${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects/<hash>/`) | | Scope | All instincts apply everywhere | Project-scoped + global | | Detection | None | git remote URL / repo path | | Promotion | N/A | Project → globa
- When to Activate
- What's New in v2.1
- What's New in v2 (vs v1)
- The Instinct Model
- How It Works
- Project Detection
- Data Directory
- Quick Start
- 1. Enable Observation Hooks
- 2. Initialize Directory Structure
- 3. Use the Instinct Commands
- Commands
- Configuration
- File Structure
bash skills/continuous-learning-v2/scripts/migrate-homunculus.sh
Global directories
mkdir -p "${XDG_DATA_HOME:-$HOME/.local/share}/ecc-homunculus"/{instincts/{personal,inherited},evolved/{agents,skills,commands},projects}
Project directories are auto-created when the hook first runs in a git repo
Promote a specific instinct
python3 instinct-cli.py promote prefer-explicit-errors
Auto-promote all qualifying instincts
python3 instinct-cli.py promote
Preview without changes
python3 instinct-cli.py promote --dry-runWhat does the continuous-learning-v2 skill do?
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.
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill continuous-learning-v2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.