plan-arbiter

Compare competing implementation plans and produce a decision memo.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill plan-arbiter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-arbiter
Source: https://github.com/lapaixkemsdortshlee-svg/AyitiMarket/tree/main/.agents/skills/plan-arbiter
Command: npx skills add https://github.com/lapaixkemsdortshlee-svg/AyitiMarket --skill plan-arbiter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes uncertainty when multiple agents produce competing plans by comparing them, reconciling differences, and choosing a clear direction to execute.

Core Features & Use Cases

  • Plan Comparison: Normalizes each proposal into assumptions, scope, sequence, and verification so different approaches can be judged fairly.
  • Cross-Review and Reconciliation: Checks plans against each other and against the actual task context to identify gaps, hidden dependencies, and risky decisions.
  • Decision Output: Produces a concise handoff with the chosen path, rejected alternatives, borrowed ideas, and validation gates.
  • Use Case: When Codex and Claude Code suggest different implementation strategies, this Skill helps select the strongest one or merge the best parts into a single execution plan.

Quick Start

Give the Skill the competing plans or transcripts and ask it to compare them, choose the best path, and return an implementation handoff.

Frequently Asked Questions about plan-arbiter

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

FAQPage Schema
How do I choose between competing implementation plans from multiple agents?

Comparing implementation plans involves normalizing assumptions, scope, sequence, and verification across proposals to identify gaps and hidden dependencies, then producing a decision memo with the chosen execution path and rejected alternatives.

What is agent arbitration for software execution planning?

Agent arbitration is the process of cross-reviewing multiple agent-generated strategies to reconcile differences and select a single execution direction, resulting in a concise handoff with borrowed pieces and validation gates.

How do I reconcile different implementation strategies from Codex and Claude Code?

You reconcile different implementation strategies by providing the competing plans or transcripts to a cross-review process that judges them fairly against task context and merges the best parts into a single execution plan.

What does a decision memo for plan comparison include?

A decision memo for plan comparison includes the chosen execution path, rejected alternatives, borrowed ideas from other proposals, and validation gates to ensure the selected direction moves forward safely.

Can I compare pasted transcripts and PR descriptions to pick the best implementation path?

Yes, you can compare pasted transcripts, PR descriptions, and proposals by cross-reviewing them against the actual task context to identify risky decisions and output a clear implementation handoff.

When do I need cross-review and reconciliation for execution planning?

You need cross-review and reconciliation for execution planning when two or more agents, proposals, or pasted strategies produce competing plans, requiring normalization and a single execution choice to remove uncertainty.