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gsd-review

Invoke external AI CLIs to review phase plans and write REVIEWS.md.

Updated Aug 15, 2025
Search Tags:#automation#workflow#cli#peer-review#cross-ai#ai-cli
One-click install
npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-review-gesmith0606
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-review
Source: https://github.com/gesmith0606/nfl_data_engineering/tree/main/.claude/skills/gsd-review
Command: npx skills add https://github.com/gesmith0606/nfl_data_engineering --skill gsd-review-gesmith0606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates cross-model peer review of phase plans by invoking external AI CLIs and consolidating independent feedback into a structured REVIEWS.md, removing the manual orchestration burden from the user.

Core Features & Use Cases

  • Multi-CLI Review Orchestration: Detect available Gemini, Claude, and Codex CLIs and invoke selected reviewers to obtain independent assessments.
  • Structured Consolidation: Collect responses and produce a REVIEWS.md formatted for downstream ingestion into planning workflows (e.g., /gsd:plan-phase --reviews).
  • Use Case: Run a cross-AI review of a project phase to gather diverse critique on timelines, risks, and assumptions before finalizing the plan.

Quick Start

Run the gsd-review skill with the target phase number and flags (for example: --phase 2 --all) to detect CLIs, invoke reviewers, and write REVIEWS.md.

Frequently Asked Questions about gsd-review

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

FAQPage Schema
How do I automate cross-AI peer review for project phase plans?▼

To automate cross-AI peer review, invoke this Skill with a target phase number and flags to dispatch review requests to available AI CLIs, collect their independent feedback, and consolidate outputs into a structured REVIEWS.md file.

What is cross-model peer review and when do I need it for planning?▼

Cross-model peer review obtains independent critiques from multiple AI models on project plans to assess timelines, risks, and assumptions before finalization, removing manual orchestration by automatically dispatching prompts to external CLIs.

Do I need Gemini, Claude, and Codex CLIs installed to run cross-model reviews?▼

You do not need all three installed; the Skill detects available AI CLIs in your environment and invokes the selected reviewers, allowing you to run cross-model peer reviews with whichever CLIs are accessible.

What's the best way to consolidate multiple AI reviewer outputs into one file?▼

The best way is to dispatch prompt-based review requests to selected CLIs and write a consolidated REVIEWS.md, which automatically collects and structures the independent assessments from each AI reviewer into one file.

How do I use cross-AI review feedback in downstream planning workflows?▼

You ingest the generated REVIEWS.md file into planning workflows, such as passing it with the --reviews flag to a phase planning command to incorporate diverse critique on timelines and risks before finalizing the plan.

Why does cross-AI review fail to find my installed CLI?▼

If cross-AI review fails to find your CLI, the Skill's detection mechanism may not recognize the installation path, so ensure your Gemini, Claude, or Codex CLI is properly installed and accessible in your environment.

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