# Gap Driven Generation

> Generate solutions targeting specific coverage gaps — detect gaps, generate failure-driven solutions, and design factor-level experiments.

- Skill: `yogsoth-ai/gap-driven-generation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/gap-driven-generation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/gap-driven-generation/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/gap-driven-generation

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# Gap-Driven Generation

Detect coverage gaps in the solution space, then generate targeted solutions using failure analysis and factorial design.

## Stages

### Stage 1: Coverage Gap Detection

Run coverage-gap-detection SOP to identify uncovered regions in the solution space. Output: gap list with priority ranking based on impact and feasibility.

### Stage 2: Failure-Driven Generation

Run failure-driven-generation SOP to generate solutions that specifically target identified failure modes or gaps. Output: one or more targeted solutions per gap.

### Stage 3: Factor-Level Design

Run factor-level-design SOP to identify key factors in the gap space, define levels, and design an experiment matrix for systematic exploration. Output: factorial design ready for implementation.

## Minimum Yield

| Metric | Floor |
|--------|-------|
| Coverage gaps identified | ≥3 |
| Gaps with priority ranking | 100% |
| Solutions generated per gap | ≥1 |
| Total targeted solutions | ≥3 |
| Factor-level matrix produced | yes |

## Available SOPs

| SOP | Role |
|-----|------|
| coverage-gap-detection | Stage 1 — detect uncovered regions |
| failure-driven-generation | Stage 2 — generate targeted solutions |
| factor-level-design | Stage 3 — factorial experiment design |

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## Available SOPs

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

| SOP | When to use |
| --- | --- |
| coverage-gap-detection | Detect uncovered regions in the solution space, producing a prioritized gap list. |
| creative-ideation-factor-level-design | Identify factors and their levels for a problem, then design an experiment matrix for systematic exploration. |
| creative-ideation-failure-mode-cataloging | Systematically catalog all failure modes in a domain or method, producing a classified failure taxonomy. |
| failure-driven-generation | Generate targeted solutions for each identified failure mode, ensuring every failure has at least one proposed mitigation. |

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