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LeszekDNV
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10x-stack-assess

Assess a project's technology stack against four quality gates and generate a report.

Updated Jun 11, 2026
Search Tags:#technology stack#brownfield projects#AI agent workflows#agent-friendliness#stack assessment
One-click install
npx skills add https://github.com/LeszekDNV/PlanDeck2 --skill 10x-stack-assess-leszekdnv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 10x-stack-assess
Source: https://github.com/LeszekDNV/PlanDeck2/tree/main/src/PlanDeck/.github/skills/10x-stack-assess
Command: npx skills add https://github.com/LeszekDNV/PlanDeck2 --skill 10x-stack-assess-leszekdnv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill assesses an existing project's technology stack against four quality gates to determine its agent-friendliness, providing a comprehensive report with scores and strategies for improvement.

Core Features & Use Cases

  • Assessment: Evaluates typed, convention-based, popular, and well-documented criteria.
  • Documentation: Generates a detailed report with per-component scores, gaps, and ready-to-paste AGENTS.md entries.
  • Use Case: Ideal for brownfield projects looking to enhance their stack for better AI agent workflows.

Quick Start

Trigger the assessment by saying "assess my stack" or "is my stack agent-friendly".

Frequently Asked Questions about 10x-stack-assess

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

FAQPage Schema
How do I assess if my technology stack is agent-friendly for AI workflows?▼

To assess if your technology stack is agent-friendly, evaluate it against four quality gates: typed, convention-based, popular, and well-documented criteria. The assessment generates a detailed report with per-component scores and improvement strategies for enhancing AI agent workflows.

What makes a technology stack suitable for AI agent workflows in brownfield projects?▼

A technology stack suitable for AI agent workflows in brownfield projects must pass four quality gates: typed, convention-based, popular, and well-documented criteria. The assessment identifies gaps and provides ready-to-paste AGENTS.md entries to improve agent-friendliness.

Can I evaluate an existing codebase to see if it supports AI agent integration?▼

Yes, you can evaluate an existing codebase by running a stack assessment against four quality gates. The generated report provides per-component scores, identifies gaps, and offers ready-to-paste AGENTS.md entries to enhance AI agent integration.

How do I generate an AGENTS.md file for my project's technology stack?▼

To generate AGENTS.md entries for your technology stack, trigger a stack assessment by requesting an evaluation. The assessment output includes ready-to-paste AGENTS.md entries alongside detailed per-component scores and strategies for improving agent-friendliness.

Does stack assessment work for existing brownfield projects or only new codebases?▼

Stack assessment is specifically designed for existing brownfield projects. It evaluates your current technology stack against four quality gates and generates a detailed report with scores and strategies to enhance your stack for better AI agent workflows.

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