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continuous-learning-v2

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

Updated May 24, 2023
Search Tags:#automation#hooks#skill creation#ai#learning#pattern detection#instincts
One-click install
npx skills add https://github.com/Kimjiman/basic-arch --skill continuous-learning-v2-kimjiman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/Kimjiman/basic-arch/tree/main/.claude/skills/continuous-learning-v2
Command: npx skills add https://github.com/Kimjiman/basic-arch --skill continuous-learning-v2-kimjiman

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of learning from your interactions with AI assistants, transforming observed patterns into reusable knowledge and custom AI behaviors.

Core Features & Use Cases

  • Instinct-Based Learning: Observes your sessions via hooks to create atomic "instincts" (small learned behaviors) with confidence scoring.
  • Pattern Detection: Identifies user corrections, error resolutions, repeated workflows, and tool preferences.
  • Evolution: Evolves these instincts into more complex skills, commands, or agents.
  • Use Case: Automatically learn your preferred coding style or common debugging steps, allowing the AI to adopt them in future interactions.

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 build custom behaviors?▼

Automating AI session learning uses observation hooks and a background observer agent to detect interaction patterns, creating atomic instincts with confidence scoring that evolve into reusable skills, commands, or agents.

What is instinct-based AI learning and how does pattern detection work?▼

Instinct-based AI learning captures small behavioral patterns from your sessions via hooks, analyzing user corrections and repeated workflows to generate confidence-scored instincts that gradually evolve into complex custom skills.

How do I set up hooks to start detecting patterns in my AI coding sessions?▼

To start pattern detection, enable observation hooks in your Claude Code settings, which activates the background observer agent required for monitoring sessions and generating atomic instincts from your workflows.

Can I use automated pattern detection to learn my preferred coding style and debugging steps?▼

Automated pattern detection observes your repeated workflows, user corrections, and tool preferences during sessions, allowing the AI to adopt your specific coding style and common debugging steps in future interactions.

Do I need a background observer agent to generate instincts from session patterns?▼

A background observer agent is required for instinct generation and pattern detection, working alongside observation hooks to monitor sessions and create confidence-scored atomic instincts from your interactions.

What are the limitations of hook-based session learning for building custom AI?▼

Hook-based session learning requires continuous hook integration and an active background observer agent to function, meaning instincts cannot be generated without proper hook setup and ongoing session observation.

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