are-plan

Compare AI planning quality with and without ARE documentation.

19|4|Updated Jan 25, 2026

Search Tags:#planning #documentation #codebase #ai #evaluation #comparison

Ready to run

npx skills add https://github.com/GeoloeG-IsT/agents-reverse-engineer --skill are-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: are-plan
Source: https://github.com/GeoloeG-IsT/agents-reverse-engineer/tree/main/.claude/skills/are-plan
Command: npx skills add https://github.com/GeoloeG-IsT/agents-reverse-engineer --skill are-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Compare AI planning quality with and without ARE documentation.

Core Features & Use Cases

Automated AB planning comparison for ARE-enabled vs non-ARE planning.
Generates branch-level comparative artifacts and metrics for decision quality.
Use Case: teams can quantify how ARE documentation impacts planning speed, accuracy, and actionable recommendations.

Quick Start

Run a plan comparison for your codebase to compare planning quality with and without ARE documentation.

Frequently Asked Questions about are-plan

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

FAQPage Schema

How do I compare AI planning quality with and without codebase documentation?▼

You can compare AI planning quality by running two sequential planning sessions on your codebase, one with ARE documentation and one without, then generating a comparative report with metrics for decision quality and actionable recommendations.

What metrics are generated when comparing AI planning sessions for a software project?▼

The comparison generates branch-level metrics evaluating planning speed, accuracy, and the quality of recommended actions, helping teams quantify how ARE documentation impacts AI planning outcomes.

Can I use this to evaluate how documentation affects AI planning decisions in my software project?▼

Yes, this executes automated AB planning comparisons for ARE-enabled versus non-ARE planning, producing artifacts and metrics that quantify the impact of documentation on decision quality.

Do I need existing ARE documentation to run an AI planning comparison?▼

Yes, the comparison focuses on software projects where ARE is used to document codebases, evaluating planning steps and decision quality by contrasting sessions that use ARE docs with those that do not.

What is the best way to quantify the impact of ARE documentation on planning accuracy?▼

The best way is to run an automated AB planning comparison that executes two sequential AI planning sessions and outputs a comparative report with metrics for planning speed, accuracy, and actionable recommendations.

Are there limitations to using automated AB planning comparisons for codebase evaluation?▼

The comparison is specifically applicable to software projects where ARE is used to document codebases, focusing on planning steps and decision quality, and may not suit projects without ARE documentation in place.