happycapy-ai/happycapy-skills/capy-cortex

Claude Code and agent skill by happycapy-ai/happycapy-skills

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Checking that the SKILL.md file is still in the repository.

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. The AI brain.

Install

npx vskill@latest install happycapy-ai/happycapy-skills/capy-cortex

SKILL.md

The same SKILL.md was published earlier as ndpvt-web/capy-cortex/capy-cortex.

Capy Cortex - Autonomous Learning System

You have a persistent learning brain powered by SQLite + FTS5 + sklearn TF-IDF. Knowledge is automatically loaded via hooks. This file describes manual operations.

Architecture

  • Database: ~/.claude/skills/capy-cortex/cortex.db (SQLite + FTS5 + WAL)
  • Hooks (automatic, never call manually):
  • SessionStart: Loads anti-patterns, preferences, principles
  • UserPromptSubmit: Retrieves task-relevant rules via FTS5
  • PreToolUse(Bash): Blocks known dangerous commands
  • PostToolUseFailure: Records errors as anti-patterns
  • Stop: Extracts corrections and preferences from conversation
  • Scripts (for manual/scheduled use):
  • cortex.py: Core engine (retrieve, add rules, stats)
  • reflect.py: Deep session analysis
  • consolidate.py: Cluster rules into principles (sklearn)
  • bootstrap.py: Mine historical sessions

Manual Commands

bash
# Check system health
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py stats
# Retrieve rules for a topic
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py retrieve "react typescript"
# Add a rule manually
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-rule "Always use TypeScript strict mode" "best_practice"
# Add an anti-pattern
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-ap "Never force push to main" "critical"
# Add a preference
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-pref "User prefers functional components over class components"
# Run consolidation (clusters rules into principles)
python3 ~/.claude/skills/capy-cortex/scripts/consolidate.py
# Retrain TF-IDF model
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py retrain
# Apply confidence decay
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py decay

How It Learns

  1. Automatic (via hooks): Errors are captured, corrections noted, preferences extracted
  2. Reflection: Deep analysis of session transcripts extracts patterns
  3. Consolidation: sklearn clustering groups similar rules into principles
  4. Decay: Old, unreinforced rules fade; validated rules strengthen
  5. Retrieval: Two-stage FTS5 + TF-IDF returns only relevant knowledge (O(1) context)

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
137
Repository forks
30
7-day trend score
25

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 12 Oct 2026, 24 days ago.

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