--- name: yogsoth-ai/coverage-analysis source: https://app.decimal.ai/s/yogsoth-ai-coverage-analysis@1/SKILL.md source_sha256: 474ee603c7d5 --- # Coverage Analysis Systematic coverage evaluation: inventory all known methods, cross them against problems, and evaluate which intersections remain unexplored. ## Stages ### Stage 1: Benchmark Inventory Run benchmark-inventory SOP to catalog all known solutions/methods in the target domain. Output: structured method inventory with performance, applicability, and limitations. ### Stage 2: Method-Problem Crossing Run method-problem-crossing SOP to build a cross-reference matrix of methods × problems. Output: complete matrix with all cells populated. ### Stage 3: Intersection Evaluation Run intersection-evaluation SOP to annotate each matrix cell as explored, partial, or unexplored. Output: annotated matrix with exploration status and priority ranking. ## Minimum Yield | Metric | Floor | |--------|-------| | Methods cataloged | ≥80% of known methods in domain | | Problems enumerated | ≥80% of known problems in domain | | Matrix cells evaluated | 100% of M×P cells | | Unexplored intersections identified | ≥5 | | Priority ranking produced | yes | ## Available SOPs | SOP | Role | |-----|------| | benchmark-inventory | Stage 1 — catalog all known solutions | | method-problem-crossing | Stage 2 — build cross-reference matrix | | intersection-evaluation | Stage 3 — annotate exploration status | ## Available SOPs Optional, no fixed order; the final leaf is always a sop. | SOP | When to use | | --- | --- | | creative-ideation-benchmark-inventory | Catalog all known solutions/methods in a domain with performance, applicability, and limitations. | | intersection-evaluation | Evaluate exploration status of each cell in a method×problem matrix, annotating as explored, partial, or unexplored. | | method-problem-crossing | Build method×problem cross-reference matrix showing which methods have been applied to which problems. |