continuous-learning-v2

Observe user sessions via hooks to create atomic instincts with confidence scoring.

Updated Mar 9, 2026

Search Tags:#automation #code generation #learning #pattern recognition #ai assistant #instincts

Ready to run

npx skills add https://github.com/drxaibi/vibe-setup --skill continuous-learning-v2-drxaibi

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of learning from your interactions with Claude Code, transforming observed patterns into reusable instincts and skills to improve AI assistance over time.

Core Features & Use Cases

Instinct Creation: Automatically generates atomic "instincts" (small learned behaviors) based on your session activity, complete with confidence scoring.
Project Scoping: Isolates learned behaviors to specific projects, preventing cross-project contamination and ensuring context-specific learning.
Evolution: Evolves instincts into more complex skills, commands, or agents.
Use Case: As you repeatedly correct Claude's approach to writing React components, this Skill learns your preferred functional style and automatically suggests or applies it in future React projects.

Quick Start

Enable observation hooks in your Claude Code settings to begin learning from your sessions.

Frequently Asked Questions about continuous-learning-v2

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

FAQPage Schema

How do I automate learning from AI assistant sessions to improve code generation?▼

An instinct-based learning system automates this by observing your Claude Code sessions via hooks to create atomic instincts with confidence scoring, evolving repeated patterns into reusable skills and commands for future code generation.

How does pattern recognition work for adapting an AI assistant to my coding style?▼

Pattern recognition for adapting an AI assistant uses a background observer agent to detect recurring behaviors during your sessions, generating atomic instincts with confidence scoring that evolve into specific skills, commands, or agents based on your habits.

Can I isolate learned behaviors to specific projects to prevent cross-project contamination?▼

Yes, you can isolate learned behaviors to specific projects. The system utilizes project-scoped learning to prevent cross-project contamination, ensuring that instincts generated for one codebase are not applied incorrectly to another.

How do I enable observation hooks to start capturing coding instincts?▼

To start capturing coding instincts, enable observation hooks in your Claude Code settings. This activates the background observer agent required for reliable session tracking, pattern detection, and instinct generation.

What is the difference between atomic instincts and evolved skills in an AI learning system?▼

Atomic instincts are small, individually learned behaviors generated with confidence scoring from session observations. Evolved skills are more complex, reusable commands or agents that the system develops from these foundational instincts over time.