gsd-plan-review-convergence

Repeatedly review AI-generated plans with external AI CLIs until no HIGH-severity concerns remain.

4|1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/lgwanai/openforce --skill gsd-plan-review-convergence-lgwanai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-plan-review-convergence
Source: https://github.com/lgwanai/openforce/tree/main/skills/gsd-plan-review-convergence
Command: npx skills add https://github.com/lgwanai/openforce --skill gsd-plan-review-convergence-lgwanai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill resolves plan quality uncertainty by repeatedly reviewing an AI-generated plan with external reviewers and re-planning until no HIGH concerns remain, preventing “one-shot” brittle outputs.

Core Features & Use Cases

  • Outer review gate: Wraps the plan generation and internal checking with external AI CLIs to surface HIGH-severity issues.
  • Replan-on-feedback loop: If HIGH concerns are found, re-runs the planning phase using review feedback and then re-reviews the new plan.
  • Configurable reviewer sources: Uses Codex, Gemini, Claude, OpenCode, and/or local OpenAI-compatible servers (Ollama, LM Studio, llama.cpp), including an option to run all.
  • Stop conditions & safety: Converges when no HIGH concerns remain or stops after a configurable maximum number of cycles, while preserving workflow gates like pre-flight, revision loop, stall detection, and escalation.

Quick Start

Run gsd-plan-review-convergence for the required phase number to iterate plan review and re-planning until HIGH concerns are eliminated.

Frequently Asked Questions about gsd-plan-review-convergence

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

FAQPage Schema
How do I prevent brittle AI-generated plans using multi-agent code review?

To re-plan until HIGH risks converge, you repeatedly review an AI-generated plan with external AI CLIs and trigger re-planning when HIGH-severity concerns are detected. This loop continues until no HIGH concerns remain.

Can I use local LLMs like Ollama for reviewing AI-generated plans?

Yes, you can use local LLMs for plan review. The workflow supports local OpenAI-compatible servers like Ollama, LM Studio, and llama.cpp, alongside external backends like Codex, Gemini, and Claude.

What is the best way to gate plan approval on HIGH severity issues?

The best way to gate plan approval on HIGH severity issues is to loop planning and review phases, checking workflow flags for HIGH concerns. The process stops when no HIGH concerns remain or a maximum cycle limit is reached.

Does multi-agent plan review support cycle limits and stall detection?

Yes, multi-agent plan review supports cycle limits and stall detection. It converges when no HIGH concerns remain or stops after a configurable maximum number of cycles, while preserving workflow gates like stall detection and escalation.

Why does my LLM reviewer keep flagging the same HIGH concerns during replanning?

Your LLM reviewer might keep flagging the same HIGH concerns during replanning if the feedback is not properly integrated into the next planning phase. The loop requires re-running the planning phase using the review feedback to resolve issues.