continuous-learning-v2

Learn and organize Claude Code session patterns into reusable instincts and skills.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill continuous-learning-v2-devs6186
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/devs6186/claude-private-skills-agents-commands/tree/main/skills/continuous-learning-v2
Command: npx skills add https://github.com/devs6186/claude-private-skills-agents-commands --skill continuous-learning-v2-devs6186

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automatically learn and organize Claude Code session patterns into reusable atomic instincts and evolving skills.

Core Features & Use Cases

  • Observes Claude Code sessions via hooks to generate atomic instincts with confidence scoring.
  • Evolves instincts into scalable skills, commands, and agents with project-scoped options.
  • Supports promotion from project-scoped instincts to global practices while preventing cross-project contamination.

Quick Start

Activate automatic instinct learning on Claude Code sessions and evolve instincts into skills.

Frequently Asked Questions about continuous-learning-v2

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

FAQPage Schema
How do I automatically learn and organize Claude Code session patterns into reusable skills?

Automatic instinct learning observes Claude Code sessions via hooks to generate atomic instincts with confidence scoring, then evolves them into scalable skills, commands, and agents.

What is the best way to promote project-scoped instincts to global practices without cross-project contamination?

Promoting project-scoped instincts to global practices requires the system to maintain project boundaries, preventing cross-project contamination while elevating validated patterns into global skills and commands.

How do hooks and Python tooling parse Claude Code session patterns into atomic instincts?

Hooks observe Claude Code sessions to capture patterns, and Python tooling parses these observations into atomic instincts stored locally under ~/.claude/homunculus, assigning confidence scores for scalability.

Do I need local storage under ~/.claude/homunculus to use instinct-driven learning?

Instinct-driven learning requires local storage under ~/.claude/homunculus to organize atomic instincts, support hook-based observation, and enable Python tooling to parse and promote patterns.

Can I evolve Claude Code session instincts into custom commands and agents?

Evolving session instincts into custom commands and agents is supported by the system, allowing patterns with sufficient confidence to scale into reusable skills, commands, and agents across projects.

Why does instinct-driven learning use confidence scoring for session patterns?

Confidence scoring for session patterns determines which atomic instincts are reliable enough to evolve into scalable skills, commands, and agents, ensuring only validated patterns are promoted globally.