gsd-review

Coordinates cross-CLI critiques of IT/OT phase plans and aggregates into REVIEWS.md.

Updated Jan 28, 2025
One-click install
npx skills add https://github.com/aslaii/dotfiles --skill gsd-review-aslaii
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-review
Source: https://github.com/aslaii/dotfiles/tree/main/claude/skills/gsd-review
Command: npx skills add https://github.com/aslaii/dotfiles --skill gsd-review-aslaii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitate independent cross-AI peer review of project phase plans by invoking external AI CLIs to critique and improve planning quality.

Core Features & Use Cases

  • Invoke multiple external AI CLIs (Gemini, Claude, Codex, OpenCode, Qwen Code, Cursor) to critique phase plans.
  • Produce a structured REVIEWS.md with per-reviewer feedback to guide planning decisions.
  • Use reviews to update and strengthen phase plans, risk mitigation, and execution readiness.

Quick Start

Run the gsd-review skill with the CLIs you want (e.g., --gemini --claude --codex) to generate REVIEWS.md containing per-reviewer feedback.

Frequently Asked Questions about gsd-review

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

FAQPage Schema
How do I run cross-AI peer reviews on phase plans?▼

To run cross-AI peer reviews on phase plans, invoke the gsd-review skill with your desired external AI CLIs, such as --gemini --claude --codex. It orchestrates the reviews and aggregates per-reviewer feedback into a structured REVIEWS.md file.

What is cross-CLI review for project planning?▼

Cross-CLI review for project planning is a process where multiple external AI CLIs independently critique phase plans. It identifies gaps, risks, and improvement opportunities across planning, design, and implementation phases to strengthen execution readiness.

Can I use Gemini and Codex to critique phase plans simultaneously?▼

Yes, you can use Gemini and Codex simultaneously to critique phase plans. The skill constructs per-reviewer prompts for each specified CLI, allowing them to independently review and provide feedback on your project's planning quality.

How are aggregated AI peer review results stored?▼

Aggregated AI peer review results are stored in a REVIEWS.md file. This structured document contains per-reviewer feedback from the invoked external AI CLIs, helping you update phase plans and improve risk mitigation.

Do I need external AI CLIs installed to use this review workflow?▼

Yes, you need external AI CLIs installed and available in your environment to use this review workflow. The skill coordinates independent reviews by invoking these external tools to critique your project's phase plans.