stack-analyzer

Detect a project's tech stack and map it to AI-dev-kit skills.

8|1|Updated Jul 11, 2025
One-click install
npx skills add https://github.com/ViperJuice/treesitter-chunker --skill stack-analyzer-viperjuice
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stack-analyzer
Source: https://github.com/ViperJuice/treesitter-chunker/tree/main/.ai-dev-kit/skills/stack-analyzer
Command: npx skills add https://github.com/ViperJuice/treesitter-chunker --skill stack-analyzer-viperjuice

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes a project's technology stack and maps it to AI-dev-kit skills to streamline skill activation and scaffolding.

Core Features & Use Cases

  • Auto-detects languages, frameworks, and tooling from the repository.
  • Recommends generic skills and scaffolds project-specific skills in the target repo.
  • Generates a manifest to track recommendations and activation state.

Quick Start

Run the stack-detection workflow to identify the tech stack and generate a skills recommendation.

Frequently Asked Questions about stack-analyzer

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

FAQPage Schema
How do I auto-detect languages and frameworks from my project's codebase?

Stack analysis identifies your project's languages, frameworks, and tooling to recommend AI development skills. It maps detected stack elements to generic or project-specific skills to streamline activation and scaffolding.

How do I generate a manifest to track recommended skills and activation state?

Generate a tracking manifest by running the stack-detection workflow on your repository. The process detects your tech stack and automatically produces a manifest file recording all skill recommendations and their current activation state.

Can I scaffold project-specific skills based on my detected technology stack?

Yes, you can scaffold project-specific skills based on your detected technology stack. The analysis maps identified languages and frameworks to target skills and scaffolds them directly in your repository.

Does stack detection work for any codebase with generic and project-specific tooling?

Stack detection works for any codebase where stack elements like languages, frameworks, and tooling can be identified. It applies to generic skills and project-specific skills equally to activate recommendations.

What is the best way to map a repository's tech stack to an AI dev-kit?

The best way to map a repository's tech stack to an AI dev-kit is running an automated stack analysis. It identifies your specific tooling and languages to generate targeted skill recommendations and scaffolding.