What problem does it solve?
This Skill addresses the common issues of ambiguous AI outputs, tests passing but code failing, and lack of accountability in AI-driven development by enforcing a rigorous, multi-stage quality pipeline.
Core Features & Use Cases
- Mandatory Clarification (G1): Ensures user requests are clear and well-defined before proceeding.
- Specification Approval (G2): Requires a structured, invariant-rich specification with a verifiable hash.
- Debate-Based Plan Review (G3): Facilitates a multi-round debate between agents for plan approval, ensuring comprehensive coverage and risk assessment.
- Marker Protocol: Implements a chain of markers to enforce sequential gate progression, preventing shortcuts.
- Hash Chain Verification: Ensures the integrity of specifications and code throughout the workflow.
Quick Start
Use the hive-quality-gates skill to ensure the current plan meets the specification's invariants before proceeding to implementation.