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continuous-learning-v2

Capture user patterns from Claude Code sessions and evolve them into reusable skills, commands, or agents.

Updated Aug 23, 2026
Search Tags:#automation#skill development#code generation#ai#learning#pattern recognition
One-click install
npx skills add https://github.com/Rx-K8/my-claude-code --skill continuous-learning-v2-rx-k8
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/Rx-K8/my-claude-code/tree/main/japanese/skills/continuous-learning-v2
Command: npx skills add https://github.com/Rx-K8/my-claude-code --skill continuous-learning-v2-rx-k8

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms your Claude Code sessions into a continuous learning system, automatically capturing your coding patterns and evolving them into reusable skills, commands, or agents.

Core Features & Use Cases

  • Automatic Pattern Capture: Observes your interactions via hooks to identify repeatable workflows, user corrections, and error resolutions.
  • Instinct Creation: Generates "instincts" – atomic, confidence-scored learned behaviors based on observed patterns.
  • Evolution: Clusters instincts into more complex, actionable skills, commands, or agents.
  • Use Case: After you repeatedly fix a specific type of bug in a certain way, the system learns this pattern and can suggest or automatically apply the fix in the future, or even generate a dedicated debugging skill.

Quick Start

Enable observation hooks in your ~/.claude/settings.json to start learning your patterns.

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 coding patterns from AI sessions?▼

You can automate learning coding patterns by enabling observation hooks in your settings to capture user interactions and generate confidence-scored instincts that evolve into reusable skills.

How does pattern recognition work for creating reusable code generation skills?▼

Pattern recognition works by observing your coding sessions via hooks to identify repeatable workflows, generating atomic instincts with confidence scores that cluster into actionable commands or agents.

What do I need to set up to start capturing coding patterns automatically?▼

To start capturing coding patterns automatically, you need to enable observation hooks in your `~/.claude/settings.json` file to monitor your Claude Code sessions and track user corrections.

Can I manually control how learned instincts evolve into new commands?▼

Yes, the system supports both automated and manual evolution processes, allowing you to control how observed coding instincts are clustered and transformed into new commands or agents.

What is the best way to turn repeated bug fixes into automated skills?▼

The best way to turn repeated bug fixes into automated skills is to let the background agents analyze your error resolutions, cluster those learned instincts, and generate a dedicated debugging skill.

Are there limitations to using hooks for continuous AI learning in software engineering?▼

Limitations of using hooks for continuous AI learning include the reliance on background agents for analysis depth and the necessity of active session interaction to generate sufficient pattern recognition confidence.

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