coverage-analysis
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/coverage-analysisSystematic coverage evaluation: inventory all known methods, cross them against problems, and evaluate which intersections remain unexplored.
SKILL.md
.github/skills/coverage-analysisView on GitHub ↗
--- name: coverage-analysis description: Systematic coverage evaluation pipeline — benchmark inventory, method-problem crossing, and intersection evaluation to map explored vs unexplored solution space. execution: tactic used-by: systematic-enumeration, benchmark-sweep, method-problem-matrix, ablation-brainstorm --- # 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 |