plan-eval

Evaluate software implementation plans for soundness, completeness, and executability.

1|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/maxenko/claude-skills --skill plan-eval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-eval
Source: https://github.com/maxenko/claude-skills/tree/main/plan-eval
Command: npx skills add https://github.com/maxenko/claude-skills --skill plan-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps teams evaluate software implementation plans for soundness, completeness, and executability by coordinating expert agents and structured critique.

Core Features & Use Cases

  • Parallel evaluation: orchestrates multiple evaluation lenses (soundness, best practices, and executability) to surface critical gaps.
  • Plan-to-code alignment: checks consistency with an existing codebase and project conventions to prevent misaligned implementation.
  • Structured findings & guidance: returns prioritized issues with location, rationale, severity, and concrete recommendations.

Quick Start

Provide the path to the plan file you want evaluated, for example plans/plan.md, and I will return a formal evaluation report.

Frequently Asked Questions about plan-eval

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

FAQPage Schema
How do I evaluate an architecture plan for soundness and executability?

To evaluate an architecture plan, ingest the plan document to cross-check consistency with existing codebases. This process returns structured findings highlighting severity, location, and recommended actions for gaps in soundness and executability.

What is parallel agent evaluation for software implementation plans?

Parallel agent evaluation is a method that applies multiple expert lenses, such as best practices and risk management, simultaneously to a plan. It orchestrates reviews to surface critical gaps and returns prioritized issues with concrete recommendations.

Can I use multi-agent plan review for large software architecture proposals?

Yes, multi-agent plan review supports large architecture proposals by coordinating parallel evaluation lenses. It scales with plan size, ingesting the proposal to identify completeness issues and cross-file linking errors across the project.

How do I check if an implementation plan aligns with existing codebase conventions?

Checking plan-to-code alignment involves ingesting the plan and cross-referencing it against existing codebase conventions. The evaluation returns structured findings detailing any misaligned implementation, including severity and location of inconsistencies.

What is the best way to structure risk management findings from a code review?

The best way to structure risk management findings is using a standardized format that includes severity, location, rationale, and recommended actions. This ensures prioritized issues from the evaluation are actionable for the development team.

Do I need to provide a specific file path for architecture evaluation?

Yes, you need to provide the path to the plan file, such as plans/plan.md, for architecture evaluation. The system ingests this document to perform cross-file linking and generate a formal evaluation report.