coverage-white-space-search

SkillSearch

Lets 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.

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.

  1. You MUST load skill inventory-reference-items to inventory references.
  2. You MUST load skill map-coverage-space to map coverage.
  3. You MUST load skill detect-coverage-gap to detect uncovered 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 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-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, 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