agent coding skill risk: low
Technical Code Change Tracker
The prompt defines a Technical Change Tracker skill that requires the model to log code changes as structured JSON records, enforce a planned-to-deployed state machine, and support…
SKILL 1 file
SKILL.md
---
name: antigravity-awesome-skills-technical-change-tracker-8ed41b92
description: "Track code changes with structured JSON records, state machine enforcement, and AI session handoff for bot continuity"
---
# 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
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
REQUIRED CONTEXT
- code change details
- progress summary
- next steps
- blockers
- files in progress
ROLES & RULES
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
EXPECTED OUTPUT
- Format
- unknown
- Constraints
- use structured JSON records
- follow state machine: planned -> in_progress -> implemented -> tested -> deployed (or blocked)
- support commands /tc init, /tc create, /tc update, /tc status, /tc resume, /tc close, /tc export, /tc dashboard, /tc retro
CAVEATS
- Missing context
- Exact JSON schema and field definitions
- Example command invocations and outputs
QUALITY
- OVERALL
- 0.73
- CLARITY
- 0.82
- SPECIFICITY
- 0.68
- REUSABILITY
- 0.78
- COMPLETENESS
- 0.65
IMPROVEMENT SUGGESTIONS
- Add a concrete JSON record example under Features or How It Works
- Expand each command with a one-sentence purpose and required arguments
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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