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Ankh-Studio
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repo-assessment

Analyze code repositories to identify technologies, architectural patterns, and code quality.

Updated Mar 10, 2026
Search Tags:#code quality#devops#architecture patterns#repository analysis#code assessment#technology detection
One-click install
npx skills add https://github.com/Ankh-Studio/copilot-enterprise-eval-plugin --skill repo-assessment-ankh-studio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repo-assessment
Source: https://github.com/Ankh-Studio/copilot-enterprise-eval-plugin/tree/main/skills/repo-assessment
Command: npx skills add https://github.com/Ankh-Studio/copilot-enterprise-eval-plugin --skill repo-assessment-ankh-studio

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the comprehensive analysis of code repositories, identifying technologies, architectural patterns, and code quality to inform AI adoption strategies and development workflows.

Core Features & Use Cases

  • Technology Stack Detection: Identifies programming languages, frameworks, and tools used.
  • Pattern Recognition: Detects architectural patterns (e.g., MVC, monorepo) and code organization.
  • Quality Assessment: Evaluates code quality, documentation, and adherence to standards.
  • Use Case: Before integrating a new AI tool into a project, use this Skill to quickly understand the existing tech stack, identify potential integration challenges, and assess the overall health of the codebase.

Quick Start

Analyze the current repository for its technology stack and architectural patterns.

Frequently Asked Questions about repo-assessment

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

FAQPage Schema
How do I analyze a code repository to identify technologies and architectural patterns?▼

Repository analysis identifies technologies, architectural patterns, and code quality by traversing directories and performing text analysis. This detects programming languages, frameworks, and code organization to inform AI adoption strategies and development workflows.

What is code quality assessment and how does it evaluate a codebase?▼

Code quality assessment evaluates documentation, adherence to standards, and overall codebase health. It inspects repository files to determine if the existing code organization and structure meet development requirements before integrating new tools.

Can I detect multiple programming languages and frameworks in a single repository analysis?▼

Yes, repository analysis supports multiple programming languages and framework detection. It traverses the file system to identify the diverse technology stack used within a project for comprehensive workflow planning.

Do I need file system access for code assessment and technology detection?▼

File system access is required for code assessment and technology detection. The analysis relies on directory traversal and text analysis tools to inspect repository files directly and extract architectural insights.

When do I need to perform a deep repository analysis before AI adoption?▼

Deep repository analysis is needed before AI adoption to understand the existing tech stack and identify potential integration challenges. It assesses codebase health and architectural patterns to ensure a smooth development workflow.

What's the best way to recognize architectural patterns like MVC in a codebase?▼

Recognizing architectural patterns like MVC and monorepo involves analyzing code organization through file system traversal. The assessment detects structural layouts and code patterns to map the project's architecture.

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