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Review Domain

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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.

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  • Added September 30, 2026
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Scanned September 30, 2026

npx -y skills add SylphxAI/skills --skill review-domain --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: review-domain
description: "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."
---

# 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.

Files in this skill

  • SKILL.md1 KB
  • references/convergent-review-method.md3.6 KB
  • references/multi-review-synthesis.md283 B
  • references/review-playbook-skeleton.md214 B

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