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spec-review

Dispatch design reviews to Claude, Gemini, and Codex and synthesize feedback.

Updated Feb 5, 2026
Search Tags:#workflow#orchestration#governance#synthesis#ai-review#spec-review
One-click install
npx skills add https://github.com/jivebreaddev/skills-claude-agent --skill spec-review-jivebreaddev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spec-review
Source: https://github.com/jivebreaddev/skills-claude-agent/tree/main/.claude/skills/spec-review
Command: npx skills add https://github.com/jivebreaddev/skills-claude-agent --skill spec-review-jivebreaddev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Use the spec-review skill to orchestrate external AI reviewers (Claude, Gemini, Codex) for spec/design reviews, ensuring governance, transparency, and a deterministic workflow that prevents unilateral, biased conclusions.

Core Features & Use Cases

  • Dispatches design review requests to multiple AI reviewers in parallel to obtain independent feedback.
  • Enforces the use of the script-based reviewer invocation to ensure deterministic, auditable reviews.
  • Synthesizes reviewer feedback into a structured advisory with explicit consensus, divergence, concerns, and recommended actions.
  • Supports optional context and decision records to ground reviews in project history and constraints.

Quick Start

Submit a design review request and read the advisory after all reviewers have responded.

Frequently Asked Questions about spec-review

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

FAQPage Schema
How do I orchestrate multi-AI spec reviews to avoid biased design conclusions?▼

Multi-AI spec reviews prevent biased design conclusions by dispatching requests to Claude, Gemini, and Codex in parallel, waiting for all reviewers to respond, and synthesizing their independent feedback into a single structured advisory.

What is the best way to synthesize feedback from multiple AI reviewers?▼

The best way to synthesize feedback from multiple AI reviewers is to orchestrate them via a mandatory script, enforce deterministic invocation, and aggregate their independent responses into an advisory detailing consensus, divergence, and recommended actions.

How do I ground AI spec reviews in existing project context and decision records?▼

You can ground AI spec reviews by providing optional context from .omt/specs/context and related decision records, ensuring the synthesized advisory reflects project history and constraints accurately.

Can I use a script to ensure deterministic and auditable AI design reviews?▼

Yes, you can ensure deterministic and auditable AI design reviews by enforcing a script-based reviewer invocation workflow, which governs the dispatching process and waits for all AI reviewers before synthesis.

Does multi-AI spec review support parallel dispatching to external models?▼

Yes, multi-AI spec review supports parallel dispatching to external models like Claude, Gemini, and Codex, allowing them to independently evaluate the design before their feedback is synthesized into a unified advisory.

What is included in the structured advisory returned after an AI spec review?▼

The structured advisory returned after an AI spec review includes explicit consensus, divergence, concerns, and recommended actions derived from the synthesized independent feedback of all participating AI reviewers.

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