What problem does it solve?
This Skill solves common Git workflow pain points for AI-generated applications, including messy commit history, accidental exposure of secrets, difficult rollbacks, and lack of traceability for debug and deployment activities.
Core Features & Use Cases
- Focused Commit Guidance: Enforces small, scoped commits with clear "why" messages to keep project history understandable and navigable.
- Safety Guardrails: Automatically blocks commits of sensitive files like .env, credentials, and tokens to prevent security risks.
- Standardized Rollback Procedures: Provides clear, context-appropriate steps for both shared-branch reverts and local iteration resets.
- Optional Debug/Deploy Traceability: When the git-debug-commits flag is enabled, adds mandatory pre-deployment checks, per-fix commit requirements, and deploy trace markers to ensure reliable debugging and deployment tracking. For example, when fixing a bug in a FuseBase generated app, use this Skill to commit each verified fix individually with a traceable SHA, making rollbacks instant if the fix causes unexpected issues.
Quick Start
Ask the AI to use the git-workflow skill to commit your latest verified debug fix with a descriptive reason message and record its commit SHA for deployment traceability.