Enforces a rigorous quality gate and multi-point checklist to ensure tasks are fully tested, documented, and requirement-compliant before completion.
The Verification Before Completion skill acts as a professional quality safeguard for AI-assisted development. It prevents 'one more thing' scenarios and broken builds by mandating a comprehensive verification protocol before any task is marked done or code is committed. The skill guides the user through verifying original requirements, performing end-to-end testing, validating documentation, and checking deployment readiness. By treating verification as an iron law rather than an afterthought, it ensures high-integrity contributions that maintain team trust and system stability.
Características Principales
01Requirements-to-implementation mapping
02Deployment and rollback readiness checks
03Comprehensive documentation and code quality audit
040 GitHub stars
05Mandatory pre-commit verification protocol
06Full-stack test suite validation (E2E, Integration, Unit)
Casos de Uso
01Finalizing a feature branch before opening a pull request to ensure no regressions.
02Ensuring project documentation and environment variables stay in sync with code updates.
03Validating complex code changes against the user's original requirements and edge cases.