continuous-learning-v2

Automating continuous learning from Claude Code sessions involves observing tool use events to identify behavioral patterns. The Skill converts these patterns into instincts with confidence scoring and evolves them into higher-level skills or commands to improve code quality.

An instinct in AI continuous learning is a small learned behavior converted from identified code patterns. The Skill assigns a confidence score to each instinct, evolving validated instincts into higher-level skills, commands, or agents to enhance developer productivity.

Yes, enabling session pattern detection for Claude Code requires python3, git, and a configured CLAUDE_PROJECT_DIR environment variable. These dependencies support the observation hooks and the creation of project-scoped instincts.

Yes, you can prevent cross-project contamination by applying project-scoped instincts. The Skill supports project-scoped configurations to ensure learned patterns and behaviors remain isolated to their specific project environments.

To start evolving Claude Code commands from observed tool use events, enable PreToolUse and PostToolUse observation hooks in your session settings. The Skill automatically detects patterns, creates instincts, and evolves them into higher-level commands.