coverage-white-space-search
SkillSearchLets your agent map existing work across a problem space and spot under-explored areas worth investigating.
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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About this skill
Map known methods against problem/parameter space and generate candidates from uncovered intersections. Acquisition mechanism is runtime-selected.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/coverage-white-space-search/SKILL.md and read by ahel’s review.
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.
- You MUST load skill
inventory-reference-itemsto inventory references. - You MUST load skill
map-coverage-spaceto map coverage and grade its strength. - You MUST load skill
detect-coverage-gapto detect uncovered and weakly covered regions. - You MUST load skill
synthesize-ideato synthesize candidates. If a candidate gap is ready to become a testable explanation, considerformulate-hypotheses. If the gap itself still requires evidence validation, considervalidate-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-inventoryresolved;benchmark-inventoryconcept (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.
Signals
- GitHub stars
- 503
- Forks
- 42
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
coverage-white-space-search- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine
github.com/yogsoth-ai/de-anthropocentric-research-engine