Automates the extraction of project-specific and global coding patterns into reusable instincts and skills through deterministic session observation.
Continuous Learning v2 is an advanced instinct-based learning system for Claude Code that captures developer patterns, error resolutions, and specific preferences in real-time. By utilizing deterministic hooks and an background AI observer, it builds a library of confidence-weighted 'instincts' that evolve into structured skills or agents. Version 2.1 introduces sophisticated project-scoping, ensuring that specific framework conventions remain isolated to relevant repositories while universal best practices, such as security and git workflows, are promoted to a global scope for use across all your development environments.
主要功能
01Atomic instinct system with confidence-weighted behavior scoring
02Project-scoped isolation to prevent cross-project pattern contamination
03Deterministic PreToolUse and PostToolUse hooks for 100% reliable session capture
04Automatic evolution of raw observations into structured skills, commands, and agents
05Promotion engine to upgrade high-confidence project patterns to global defaults
060 GitHub stars
使用场景
01Migrating learned developer behaviors across different machines via instinct export/import
02Personalizing Claude’s coding style based on past corrections and preferred patterns
03Automatically capturing unique codebase conventions without manual documentation
