coverage-white-space-search
SkillSearchLets your agent map known methods against a problem space and generate research ideas from uncovered gaps.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the coverage-white-space-search skill
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 uncovered intersections.
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. - You MUST load skill
detect-coverage-gapto detect uncovered 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 an explicit uncovered intersection over the declared dimensions; 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.
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, gap definitions, exclusions, and generated candidates.
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
coverage-white-space-search- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine