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continuous-learning-v2

Analyze Claude Code sessions to create confidence-scored instincts and evolve them into reusable knowledge.

Updated Nov 19, 2025
Search Tags:#code analysis#machine learning#pattern recognition#continuous learning#knowledge extraction
One-click install
npx skills add https://github.com/Sake-Team/SmartSake --skill continuous-learning-v2-sake-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/Sake-Team/SmartSake/tree/main/backup/skills/continuous-learning-v2
Command: npx skills add https://github.com/Sake-Team/SmartSake --skill continuous-learning-v2-sake-team

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns your Claude Code sessions into reusable knowledge, creating atomic instincts with confidence scoring and evolving them into skills, commands, or agents. It addresses the challenge of manual pattern recognition and knowledge extraction from session data.

Core Features & Use Cases

  • Observation via Hooks: Automatically observes Claude Code sessions and extracts patterns.
  • Instinct Creation: Generates instincts with confidence scoring based on observed patterns.
  • Skill Evolution: Evolves instincts into full skills, commands, or agents.
  • Project Scope: Supports project-specific instincts to prevent contamination across projects.
  • Global Patterns: Identifies and promotes patterns that are beneficial across multiple projects.
  • Use Case: For example, after a series of Claude Code sessions focused on Python code style, this Skill can automatically suggest and implement best practices, like using functional patterns over classes, within the project.

Quick Start

To start the observation process, enable the hooks in your Claude Code settings.

Frequently Asked Questions about continuous-learning-v2

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

FAQPage Schema
How do I extract reusable knowledge from Claude Code sessions?▼

You can extract reusable knowledge by enabling hooks that automatically observe Claude Code sessions, identify behavioral patterns, and generate atomic instincts with confidence scoring for software development workflows.

How does continuous learning from code analysis patterns work?▼

Continuous learning works by applying machine learning and pattern recognition to session data, automatically creating instincts with confidence scores that evolve into reusable skills, commands, or agents over time.

Can I isolate pattern recognition to prevent knowledge contamination across projects?▼

Yes, the Skill supports project-specific instincts to prevent knowledge contamination across projects, while still identifying and promoting beneficial global patterns across multiple projects.

Do I need Python libraries to implement machine learning pattern recognition for code sessions?▼

Yes, you need Python libraries for pattern recognition and machine learning, alongside Claude Code integration, to automatically analyze sessions and evolve observed patterns into reusable knowledge.

When should I not use automated knowledge extraction for coding sessions?▼

You should avoid automated knowledge extraction when working without Claude Code integration or lacking Python dependencies for pattern recognition, as the system requires both to automatically generate and evolve instincts.

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