continuous-learning-v2

To personalize AI behavior from session history, this Skill captures session activity via hooks to detect repeated workflows and corrections. It forms atomic instincts with confidence scores that automatically adjust future AI responses based on your historical patterns.

Yes, you can create reusable skills from repeated coding workflows. The system clusters atomic instincts generated from your session observations, evolving them into new skills, commands, or agents once pattern detection establishes sufficient confidence weighting.

Hooks observe user sessions for pattern detection by capturing tool use and prompts in the background. You enable this by adding the provided JSON configuration to your ~/.claude/settings.json file, allowing the system to gather comprehensive session activity data.

An atomic instinct in AI learning systems is an identified pattern derived from user corrections, error resolutions, or repeated workflows. It carries a confidence score that determines its weight in personalizing AI behavior and evolving into higher-level skills.

No, continuous learning requires no external dependencies to start. It operates independently with included scripts and assets, requiring only the standard settings.json configuration to enable the observation hooks for capturing session data.