# Review Domain

> Assess one product or operations domain into ranked findings for a named go/no-go, hold, or risk decision. Use when the user asks for a domain review or assessment that no dedicated review listing covers. Do not use to design the system under review, critique a single claim, or synthesize a literature.

- Skill: `sylphxai/review-domain` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add sylphxai/review-domain`
- Raw SKILL.md: https://api.skillmd.com/api/skills/sylphxai/review-domain/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: SylphxAI (https://skillmd.com/u/sylphxai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/sylphxai/review-domain

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# Review Domain

One domain, ranked findings for a named decision. Frame the candidate and decision; prefer primary systems over memory; separate fact, inference, and unknown; rank findings; stop when more reading will not change the assessment. Unknowns stay unknown; they are not findings.

Open [the shared review rhythm](references/review-playbook-skeleton.md) when the assessment needs depth. After several domain reviews of the same candidate, open [multi-review synthesis](references/multi-review-synthesis.md).

Use the dedicated review listing when one exists. Use `analyze-critically` for a single claim. Use `synthesize-evidence-brief` for multi-source research rather than a product go/no-go.