gsd-review

Collect independent AI reviews of phase plans and generate REVIEWS.md.

4|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/electroheadfx/efx-mux --skill gsd-review-electroheadfx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-review
Source: https://github.com/electroheadfx/efx-mux/tree/main/.codex/skills/gsd-review
Command: npx skills add https://github.com/electroheadfx/efx-mux --skill gsd-review-electroheadfx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you validate phase plans by collecting independent feedback from multiple AI coding and agent tools, reducing blind spots before execution.

Core Features & Use Cases

  • Multi-CLI review orchestration: Detects available external AI CLIs and invokes the requested reviewers.
  • Structured feedback collection: Aggregates each reviewer’s response into a consistent review artifact for downstream planning.
  • Planning quality control: Useful when you want a phase plan checked for gaps, risks, or missing steps before committing to implementation.
  • Example use case: A developer prepares a GSD phase plan and asks this Skill to gather reviews from Gemini, Claude, Codex, OpenCode, Qwen, or Cursor, then consolidate the results.

Quick Start

Ask the gsd-review skill to review phase 2 using all available reviewers.

Frequently Asked Questions about gsd-review

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

FAQPage Schema
How do I get multiple AI agents to review my phase plan before execution?

To get multi-agent reviews for phase plans, you can orchestrate independent feedback from external AI CLIs like Gemini, Claude, and Codex. This process detects available tools, aggregates their structured responses, and generates a consolidated review artifact to uncover planning gaps.

What is cross-AI validation for development planning workflows?

Cross-AI validation for development planning collects independent feedback from multiple AI coding tools to uncover gaps, risks, and missing implementation details. It applies structured prompt construction and response aggregation to ensure phase plans are checked before committing to implementation.

Can I use Gemini and Cursor reviewers to check phase plans for missing steps?

Yes, you can use Gemini and Cursor reviewers to check phase plans for missing steps. The multi-CLI review orchestration detects available external AI tools, invokes the requested reviewers, and collects their feedback into a consistent review artifact for downstream planning.

How do I consolidate feedback from multiple coding agents into a single file?

To consolidate feedback from multiple coding agents, the review process aggregates each reviewer's response and generates a REVIEWS.md file. This downstream planning artifact captures structured feedback from various AI CLIs to highlight risks and missing implementation details.

What's the best way to identify risks in a multi-agent planning workflow?

The best way to identify risks in a multi-agent planning workflow is collecting independent AI reviews from different coding tools. Comparing structured feedback across CLIs like Qwen, OpenCode, and Claude reduces blind spots and highlights missing implementation details before execution.