AutoSkill

About

AutoSkill serves as a persistent learning mechanism for Claude, bridging the gap between one-off chat corrections and permanent project documentation. By analyzing session history for signals like repeated patterns, explicit corrections, and approvals, it identifies high-confidence improvements for your Skill files and CLAUDE.md. This ensures that Claude evolves with your codebase, remembering project-specific architecture, naming conventions, and utility preferences without requiring constant manual instruction in every new session.

Key Features

• 40 GitHub stars
• Proposes minimal, reversible edits to Skill files and CLAUDE.md for review
• Uses a confidence-scoring system to filter noise from actionable rules
• Distinguishes between skill-specific behavior and project-wide conventions
• Detects durable coding preferences from chat corrections and approvals
• Supports manual review and git-based rollback for all suggested changes

Use Cases

• Capturing and enforcing team-specific error handling and naming conventions
• Updating library preferences, such as switching between utility functions like cn() or clsx()
• Codifying project-specific architectural rules after initial setup corrections