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Code Review Orchestrator

Delegate code and documentation review to parallel specialized subagents.

7|1|Updated Oct 19, 2025
Search Tags:#automation#subagents#review#orchestrator#code-review#CLAUDE
One-click install
npx skills add https://github.com/jack-michaud/faire --skill code-review-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Code Review Orchestrator
Source: https://github.com/jack-michaud/faire/tree/main/jack-software/skills/code-review
Command: npx skills add https://github.com/jack-michaud/faire --skill code-review-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill orchestrates specialized review subagents to analyze code and documentation, then collect and present findings.

Core Features & Use Cases

  • Delegates to dedicated review subagents
  • Launches in parallel
  • Synthesizes findings for user

Quick Start

List files to review and run the orchestrator; it will launch subagents and present results.

Frequently Asked Questions about Code Review Orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review across multiple files?▼

Code Review Orchestrator automates code review by delegating analysis to specialized subagents in parallel, then synthesizing their findings into a unified report. List your files and run the orchestrator to launch focused reviewers simultaneously.

Can I use subagents to review AI prompts and documentation?▼

Yes. The orchestrator handles AI prompts, CLAUDE.md files, slash command prompts, and guidance within .claude and PR contexts by mapping content types to appropriate review subagents and returning standardized findings.

What happens when the orchestrator doesn't have a matching review subagent?▼

The orchestrator guides you to create a new review skill tailored to your content type. It identifies gaps in coverage and directs the workflow to custom subagent creation rather than forcing a mismatched reviewer.

How does parallel subagent execution improve review speed?▼

Parallel execution launches all relevant subagents simultaneously instead of sequentially, reducing total review time. Each subagent analyzes its assigned content type concurrently and returns standardized issue blocks for synthesis.

Does the orchestrator work with single files or only batch reviews?▼

The orchestrator handles both single and multiple files. Provide one file or a batch; it delegates to the same pool of specialized subagents and synthesizes findings uniformly across your input scope.

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