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/coverage-white-space-search

Map known methods against problem/parameter space and generate candidates from uncovered and weakly covered intersections. Acquisition mechanism is runtime-selected.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill coverage-white-space-search --agent claude-code

SKILL.md

coverage-white-space-search.SKILL.md
name: coverage-white-space-search
description: "Map known methods against problem/parameter space and generate candidates from uncovered and weakly covered intersections. Acquisition mechanism is runtime-selected."

coverage-white-space-search

Purpose

Map known methods against a problem space and generate candidates from intersections that are uncovered or covered without being closed.

Input contract

required: [reference_items, coverage_dimensions]
optional: [performance_records, eligibility_rules]
constraints: [reference items and dimension values must be identifiable]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `inventory-reference-items` to inventory references. 2. You MUST load skill `map-coverage-space` to map coverage and grade its strength. 3. You MUST load skill `detect-coverage-gap` to detect uncovered and weakly covered regions. 4. You MUST load skill `synthesize-idea` to synthesize candidates. If a candidate gap is ready to become a testable explanation, consider `formulate-hypotheses`. If the gap itself still requires evidence validation, consider `validate-research-gap`. Deviation: acquisition is runtime-selected; do not infer coverage from missing records.

Output contract

produces: [reference_inventory, coverage_map, white_space_gaps, candidate_ideas]
delta_fields: [findings, evidence_updates, hypothesis_updates, decisions, open_questions]

Thresholds and quality gates

  • B: every reported gap is either an explicit uncovered intersection over the declared dimensions or an occupied intersection graded below full support, with its covering items and specific shortfall named; duplicate or ineligible regions are excluded.

Failure and counterexamples

Do not label a region white space when it is merely unsearched, incomparable, or outside the declared universe, and do not treat a region as closed because items occupy it.

Provenance map

  • `systematic-enumeration`, `benchmark-sweep`, `coverage-analysis`, `white-space-identification`, `benchmark-inventory`, `coverage-gap-detection`, `white-space-detection`: resolved/concept by exact lookup.
  • Status: all except `benchmark-inventory` resolved; `benchmark-inventory` concept (only package-prefixed variant found).

Preserved source criteria ledger

  • Preserve inventory -> coverage crossing -> gap detection -> candidate synthesis.

Context checkpoint / Delta notes

Append inventory additions, occupied cells with strength grades, gap definitions, exclusions, and generated candidates.

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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about coverage-white-space-search.

Which coding agents can use coverage-white-space-search?
coverage-white-space-search installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.