# White Space Identification

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

- Skill: `yogsoth-ai/white-space-identification` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/white-space-identification`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/white-space-identification/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/white-space-identification

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# 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 |

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## 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 |

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