Continuous Learning v2
Transforms Claude Code sessions into reusable knowledge by observing patterns and evolving them into specialized skills and agents.
Continuous Learning v2 is an advanced behavioral adaptation system for Claude Code that utilizes deterministic hooks to capture user patterns, corrections, and workflow preferences. By breaking down complex interactions into atomic 'instincts' with confidence scoring, the system creates a personalized knowledge base that evolves from simple observations into high-level commands, skills, and autonomous agents. This ensures Claude grows more efficient with every interaction, specifically tailoring its responses to your unique coding style and project requirements.
주요 기능
01Deterministic observation via PreToolUse and PostToolUse hooks for 100% reliability
02Atomic instinct generation with dynamic confidence weighting from 0.3 to 0.9
03Full export and import capabilities for sharing learned behaviors across machines
04323 GitHub stars
05Evolutionary clustering that transforms repeated patterns into full skills and commands
06Background pattern detection using efficient AI models for minimal latency
사용 사례
01Creating specialized AI agents that understand specific debugging or testing methodologies
02Automatically capturing and enforcing project-specific coding styles and preferences
03Building a library of custom commands based on repeated manual terminal workflows