What problem does it solve? AI coding assistants repeat mistakes, lose context, and require constant correction. This Skill provides a structured workflow system that captures corrections as persistent rules, enforces quality gates through hooks, and orchestrates multi-phase development so AI-generated code requires less manual rework. ## Core Features & Use Cases - Self-Correction Loop: Converts user corrections into persistent LEARNED rules in CLAUDE.md so the same mistake never repeats across sessions. - Hooks & Quality Gates: 18 hook events (PreToolUse, PostToolUse, SessionStart, Stop, SessionEnd) that remind about linting, testing, and uncommitted changes at checkpoints. - Orchestration Patterns: Command > Agent > Skill architecture with a four-phase /develop workflow (research, plan, implement, review) for features touching more than five files. - Cross-Agent Support: Works with Claude Code, Cursor, Codex, Gemini CLI, and 32+ agents via SkillKit translation. - Use Case: A developer notices Claude editing the wrong file repeatedly; the self-correction protocol proposes a rule, stores it in LEARNED, and future sessions confirm full paths before editing. ## Quick Start Add the self-correction protocol and pre-flight discipline sections to your CLAUDE.md file, then ask the AI to propose a LEARNED rule the next time you correct it.