technical-change-tracker

# Technical Change Tracker ## Overview Track every code change with structured JSON records and accessible HTML output. Ensures AI bot sessions can resume seamlessly when previous sessions expire or are abandoned. ## When to Use This Skill - Use when you need structured change tracking across AI coding sessions - Use when a bot session expires mid-task and the next session needs full context to resume - Use when onboarding a project with undocumented change history ## How It Works ### State Machine ``` planned -> in_progress -> implemented -> tested -> deployed | +-> blocked ``` ### Commands `/tc init` | `/tc create` | `/tc update` | `/tc status` | `/tc resume` | `/tc close` | `/tc export` | `/tc dashboard` | `/tc retro` ### Session Handoff Each TC stores: progress summary, next steps, blockers, key context, and files in progress — so the next bot session picks up exactly where the last left off. ### Non-Blocking TC bookkeeping runs via background subagents. Never interrupts coding work. ## Features - Structured JSON records with append-only revision history - Test cases with log snippet evidence - WCAG AA+ accessible HTML output (dark theme, rem-based fonts) - CSS-only dashboard with status filters - Python stdlib only — zero external dependencies - Retroactive bulk creation from git history via `/tc retro` ## Full Repository https://github.com/Elkidogz/technical-change-skill — MIT License