white-space-identification

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Identify unexplored viable regions in the morphological matrix where no existing methods operate.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: white-space-identification description: Identify unexplored viable regions in the morphological matrix where no existing methods operate. execution: tactic dependencies: sops: - combination-evaluation - white-space-detection

White Space Identification

Identify matrix regions not covered by existing methods or solutions, then evaluate those regions for viability and novelty.

Stages

Stage 1: White Space Detection

Map existing solutions onto the morphological matrix and identify uncovered regions using white-space-detection SOP. Annotate each gap with reason for non-coverage (overlooked, infeasible, or unexplored).

Stage 2: Combination Evaluation

Evaluate identified white-space combinations for feasibility and novelty using combination-evaluation SOP. Score each on technical feasibility, market novelty, and implementation difficulty.

Minimum Yield

Metric Floor
Unexplored viable regions identified ≥3
Regions evaluated for feasibility all identified
Novel viable combinations surfaced ≥2

Available SOPs

SOP Role
white-space-detection Stage 1 — detect uncovered matrix regions
combination-evaluation Stage 2 — evaluate feasibility and novelty

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
combination-evaluation Evaluate new combinations for feasibility and novelty
white-space-detection Identify matrix regions not covered by existing methods
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill white-space-identification
Repository Details
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article Path SKILL.md
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