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 | | | | | |