coverage-analysis

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/coverage-analysis

Systematic 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 |
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