What problem does it solve? Specification documents often contain hidden quality issues like vague actors, missing acceptance criteria, or technology solutions disguised as requirements. This Skill acts as an automated quality gate that catches these problems before specifications are finalized, preventing costly rework downstream. ## Core Features & Use Cases - Eight-Pattern Detection Pipeline: Scans capabilities and requirements for critical issues including solution masquerading, missing EARS acceptance criteria, vague actors, undefined subjective terms, missing triggers, non-testable outcomes, mega-capabilities, and passive voice. - Quantified Quality Scoring: Computes an Anti-Pattern Score from violations, blocking capabilities below 0.70, warning between 0.70-0.85, and passing above 0.85, with severity-weighted confidence adjustments. - Actionable Fix Suggestions: Each violation includes the pattern name, severity, original text, issue explanation, suggested fix, and required action. - Use Case: Before finalizing a product requirements document, run the detection pipeline to find that a capability says "the system shall use MongoDB" (solution masquerading) and "support fast queries" (non-testable outcome), then receive concrete rewrites using EARS patterns. ## Quick Start Ask the agent to run anti-pattern detection on your capability and requirements document to identify violations and get suggested fixes.