ferrox-plan-review-convergence

Repeat plan revision and external review cycles until high-priority concerns converge.

21|9|Updated Jul 21, 2026
One-click install
npx skills add https://github.com/FerroxLabs/ferrox-factory --skill ferrox-plan-review-convergence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ferrox-plan-review-convergence
Source: https://github.com/FerroxLabs/ferrox-factory/tree/main/skills/ferrox-plan-review-convergence
Command: npx skills add https://github.com/FerroxLabs/ferrox-factory --skill ferrox-plan-review-convergence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents plans from stagnating after review by forcing repeated revision cycles until unresolved high-priority concerns are actually addressed. It is designed for workflows where a plan must survive external critique, not merely accumulate comments.

Core Features & Use Cases

  • Cross-AI review orchestration: Runs plan-phase, then sends the result through external reviewers such as Codex, Gemini, Claude, OpenCode, or local model servers.
  • Replan-and-recheck loop: Feeds review feedback back into the planning phase and repeats until the plan converges or the cycle limit is reached.
  • Workflow gates and escalation: Preserves pre-flight validation, stall detection, and escalation handling so unresolved issues do not slip through.
  • Use case: A complex feature plan keeps coming back with unresolved architectural risks, and this Skill is used to iterate until the plan is genuinely ready to execute.

Quick Start

Run the ferrox-plan-review-convergence skill for phase 2 using your preferred reviewer flags and a max cycle limit.

Frequently Asked Questions about ferrox-plan-review-convergence

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

FAQPage Schema
How do I automate a plan revision loop with cross-AI review until all concerns are resolved?▼

You can automate plan revision loops by running the plan through external reviewers and feeding feedback back into replanning. This cycle repeats until unresolved high-priority concerns are eliminated or a cycle limit is reached.

What is the best way to use multiple AI reviewers like Codex, Gemini, or Claude for software plan validation?▼

Using multiple AI reviewers for software plan validation involves orchestrating plan-phase output through external models. Reviewer selection directs the plan to local or CLI-based providers like Codex, Gemini, or Claude for critique.

How do I prevent planning workflows from stalling after an AI review identifies architectural risks?▼

To prevent planning workflows from stalling, you can apply stall detection and escalation gates. These mechanisms force replanning cycles until architectural risks and high-priority concerns are genuinely addressed.

How does convergence logic handle unresolved high-priority concerns in a phased software plan?▼

Convergence logic handles unresolved concerns by applying escalation gates that block execution. It forces repeated replanning and review cycles until the plan converges or a defined maximum cycle limit is hit.

Do I need pre-flight validation before running an automated cross-AI replanning and review cycle?▼

Yes, pre-flight validation is preserved within the workflow before initiating the revision loop. It ensures the phased software plan meets baseline requirements before sending it to external AI reviewers.