project-fingerprinting
CommunityCodebase analysis & tech stack detection
Software Engineering#developer tools#architecture#code analysis#tech stack#quality assessment#fingerprinting
Authormarkus41
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the deep analysis of codebases to identify their technology stack, architectural patterns, and quality signals, providing essential context for targeted recommendations.
Core Features & Use Cases
- Tech Stack Detection: Identifies primary languages, frontend/backend frameworks, infrastructure tools (Docker, Kubernetes, CI/CD), and databases.
- Architecture Analysis: Determines patterns like monolith, monorepo, microservices, and API styles (REST, GraphQL).
- Quality Assessment: Checks for TypeScript strictness, linters (ESLint, Biome), formatters (Prettier), testing frameworks, and pre-commit hooks.
- Scale Metrics: Gathers file counts, line counts, dependency numbers, and contributor activity.
- Use Case: Before suggesting upgrades, an AI agent uses this Skill to understand if a project is a React/Node.js monolith using Docker and GitHub Actions, or a Python FastAPI microservice deployed on Kubernetes, to tailor its advice accurately.
Quick Start
Analyze the current project's technology stack and architecture.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: project-fingerprinting Download link: https://github.com/markus41/claude/archive/main.zip#project-fingerprinting Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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