continuous-learning-v2

Convert tool session patterns into confidence-scored instincts and evolved modules.

Updated May 27, 2025

Search Tags:#hooks #skills #haiku #instincts #learning-system

Ready to run

npx skills add https://github.com/vinwang/tools --skill continuous-learning-v2-vinwang

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/vinwang/tools/tree/main/iflow/skills/continuous-learning-v2
Command: npx skills add https://github.com/vinwang/tools --skill continuous-learning-v2-vinwang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

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

Core Features & Use Cases

Atomic, confidence-weighted instincts that grow into modules such as commands, skills, or agents.
Hook-based observation with high determinism to capture tool use patterns and feedback loops.
Evolution pipeline that clusters instincts into evolved structures and exports for sharing or deployment.

Quick Start

Enable observation hooks, initialize the directory structure, and begin evolving instincts into skills and commands.

Frequently Asked Questions about continuous-learning-v2

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

FAQPage Schema

How do I capture tool sessions and convert them into reusable skills?▼

You can capture tool sessions by enabling observation hooks, which identify patterns and convert them into atomic instincts with confidence scores that evolve into reusable skills.

What is an instinct-based learning system for software engineering?▼

An instinct-based learning system captures tool use patterns from sessions, creates atomic confidence-weighted instincts, and clusters them through an evolution pipeline into deployable commands or agents.

How do I turn recurring development patterns into commands or agents?▼

You turn recurring patterns into commands by using the evolution pipeline to cluster captured instincts, gradually evolving them into structured modules like commands, skills, or agents across projects.

Does this learning system keep session data local and private?▼

Yes, the learning system ensures safety and privacy by keeping session data entirely local, exporting only summarized instincts to share patterns without exposing raw workspace information.

What's the best way to start evolving instincts into deployable modules?▼

The best way to start evolving instincts is to enable observation hooks, initialize the directory structure, and let the Haiku-based observer capture feedback loops to build confidence scores.

Can I use hooks to automatically track tool use feedback loops?▼

Yes, you can use hook-based observation with high determinism to automatically track tool use patterns and feedback loops, creating atomic instincts that grow into functional modules.