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ecc-continuous-learning-v2

Convert Claude Code sessions into atomic instincts with confidence scoring.

Updated Feb 7, 2026
Search Tags:#automation#workflow#hooks#learning#observer#instincts
One-click install
npx skills add https://github.com/karimatayuta/graph-vector-rag --skill ecc-continuous-learning-v2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ecc-continuous-learning-v2
Source: https://github.com/karimatayuta/graph-vector-rag/tree/main/.claude/skills/ecc-continuous-learning-v2
Command: npx skills add https://github.com/karimatayuta/graph-vector-rag --skill ecc-continuous-learning-v2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Instinct-based learning system that observes Claude Code sessions, creates atomic instincts with confidence scoring, and evolves them into skills, commands, or agents.

Core Features & Use Cases

  • Atomic, confidence-weighted instincts that adapt based on observed patterns
  • Hook-driven observation and local storage for private learning, enabling cycles of evolution into skills/agents
  • Lightweight CLI and agent components to analyze, cluster, and export evolving structures

Quick Start

Configure the observer hooks and start collecting session observations to automatically generate instincts.

Frequently Asked Questions about ecc-continuous-learning-v2

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate learning from Claude Code sessions to improve workflows?▼

You can automate learning from Claude Code sessions by configuring observer hooks that detect repetitive workflows, errors, and corrections, automatically converting them into reusable atomic instincts with confidence scoring.

What are atomic instincts in continuous learning workflows?▼

Atomic instincts are confidence-weighted learning units generated from session observations, designed to adapt based on detected patterns and evolve into reusable skills, commands, or agents.

Can I use Claude observer hooks for local pattern detection without external dependencies?▼

Yes, you can use observer hooks for local pattern detection by storing session observations privately in a local directory, using a Python CLI and Haiku-based analysis to process data without external dependencies.

How do I export evolving instincts into reusable skills or agents?▼

You can export evolving instincts into reusable skills or agents by using the lightweight CLI to analyze and cluster accumulated patterns, transitioning high-confidence atomic instincts into structured commands or agents.

Does continuous learning workflow automation require specific file formats for instinct definitions?▼

Continuous learning workflow automation requires YAML-frontmatter instinct definitions to structure the data, which the Python CLI manages within the local storage directory for processing and evolution.

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