How does it handle projects with multiple languages?

The skill uses a weighted confidence scoring system and extension frequency analysis to identify both primary and secondary languages, providing a detailed polyglot profile.

Does it support monorepo structures?

Absolutely. It identifies common monorepo tools like Turborepo, Lerna, and npm workspaces, and can map individual packages and their specific stacks within the subdirectories.

Can it detect specific framework versions?

Yes, it parses dependency manifests like package.json, pyproject.toml, and go.mod to extract version constraints and runtime requirements.

How accurate is the detection process?

Accuracy is ensured through a multi-factor scoring system (up to 100 points) that looks at file presence, package imports, and build configurations to minimize false positives.

Tech Stack Detection

Name: Tech Stack Detection
Author: nsalvacao

bynsalvacao

0•

Developer Tools

Automatically identifies programming languages, frameworks, and tools in a repository to enable context-aware automation and documentation.

Tech Stack Detection is a specialized Claude Code skill designed to perform deep analysis of any codebase to uncover its underlying technical architecture. By combining file pattern matching, dependency manifest parsing, and extension frequency analysis, it builds a high-confidence profile of a project's stack. This skill is particularly useful for onboarding onto unfamiliar repositories, as it allows Claude to understand the environment before suggesting changes, generating READMEs, or configuring CI/CD pipelines. It handles polyglot projects and monorepos with ease, providing structured JSON data that can be used by other automation tools.

Key Features

01Comprehensive JSON output for seamless integration with other development scripts

02Language and framework version detection from runtime configuration files

03Automatic project type classification (Library, CLI, Web App, or Monorepo)

04Weighted confidence scoring for high-accuracy stack identification

05Multi-signal detection using file patterns, dependencies, and file extensions

060 GitHub stars

Use Cases

01Analyzing a legacy or unfamiliar repository to understand its architectural components

02Generating standardized README.md files based on actual project dependencies

03Automating the selection of stack-specific CI/CD workflows and linting rules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nsalvacao/nsalvacao-claude-code-plugins tech-stack-detection

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive JSON output for seamless integration with other development scripts

02Language and framework version detection from runtime configuration files

03Automatic project type classification (Library, CLI, Web App, or Monorepo)

04Weighted confidence scoring for high-accuracy stack identification

05Multi-signal detection using file patterns, dependencies, and file extensions

060 GitHub stars

Use Cases

01Analyzing a legacy or unfamiliar repository to understand its architectural components

02Generating standardized README.md files based on actual project dependencies

03Automating the selection of stack-specific CI/CD workflows and linting rules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nsalvacao/nsalvacao-claude-code-plugins tech-stack-detection

For use in Claude.ai and ChatGPT