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Gate the work behind a local reviewer panel.

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skills
928 skills

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$ npx -y skills add sherifabdlnaby/skills --skill review --agent claude-code

SKILL.md

review.SKILL.md
name: review
description: Gate the work behind a local reviewer panel.
license: MIT
argument-hint: "[number of reviewers, default 2]"
disable-model-invocation: true
metadata:
  author: sherifabdlnaby
  version: "0.1.0"

review

The task isn't done until it passes a reviewer panel. Run the gate before declaring done.

Panel

`$ARGUMENTS` = reviewer count, default 2:

  • `1` → fork reviewer only.
  • `2` → 1 independent + 1 fork.
  • `N` → N−1 independents with distinct lenses (correctness, functionality, simplification, security, tests) + 1 fork.

Reviewer types:

  • **Fork** — an agent forked from this session, carrying the full conversation context. Always on the session model.
  • **Independent** — fresh context: give it only the task description and the branch diff vs merge-base.

Cross-model: If you are Claude, and have access to Open AI Model (like in Cursor), then prefer cross-model reviewers as long as they're not a weaker model. For example, Opus 4.8 <-> GPT 5.5

Gate

1. Run the panel in parallel. 2. Triage findings: fix the real ones; reject with a stated reason (you have context reviewers lack), or escalate to user. 3. One re-review round, of the fixes only. 4. Gate opens. Escalate, contested or rejected findings go in the final summary.

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Repo: sherifabdlnaby/skills

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28 skills
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@sherifabdlnaby
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🍣 Hand-rolled AI Skills distilled from my everyday experience. Git & Mise (...and others).

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Questions about review.

Which coding agents can use review?
review installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.