Which frameworks can the Framework Detector identify?

The skill currently supports NestJS, React, Phoenix, Rails, .NET/ASP.NET Core, and Blazor, with the ability to add custom patterns via configuration.

Will this skill slow down my development environment?

No, the detector is highly optimized with file sampling and early-exit logic, typically completing its analysis in 100 to 500 milliseconds.

Can it detect multiple frameworks in the same project?

Yes, it provides a primary framework result and a list of alternates, which is particularly useful for identifying different parts of a monorepo.

How does the confidence scoring system work?

It uses weighted signals: package managers (Weight 10), specific files (Weight 8-9), and code imports (Weight 7-8), requiring a default threshold of 0.8 for high-confidence identification.

How does it integrate with other Claude Code skills?

It is designed to work with SkillLoader, allowing Claude to automatically pull in the correct framework-specific documentation and prompts once the stack is identified.

Project Framework Detector

Name: Project Framework Detector
Author: FortiumPartners

byFortiumPartners

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Developer Tools

Identifies the underlying technology stack of a project to automatically load relevant framework-specific coding skills and best practices.

About

The Project Framework Detector is a sophisticated utility designed to streamline the AI development workflow by accurately identifying a project's technical stack. By employing multi-signal analysis—including package manager inspection, file structure verification, and regex-based code sampling—the skill calculates a weighted confidence score for six major frameworks including React, NestJS, Rails, and .NET. This allows Claude Code to intelligently switch contexts and load appropriate domain-specific tools, ensuring that the AI's suggestions and implementations remain perfectly aligned with the project's specific architectural requirements.

Key Features

Support for NestJS, React, Phoenix, Rails, .NET/ASP.NET Core, and Blazor
Seamless integration with SkillLoader for automatic environment configuration
Performance-optimized file sampling (10-20 files) for sub-second detection times
5 GitHub stars
Multi-signal detection using package managers, file structures, and source code imports
Weighted confidence scoring system to handle complex or overlapping technology stacks

Use Cases

Automatically configuring Claude's coding style and rules upon entering a new repository
Identifying the specific framework within a monorepo to load the correct helper skills
Verifying project architecture before performing large-scale refactors or migrations

About

Key Features

Support for NestJS, React, Phoenix, Rails, .NET/ASP.NET Core, and Blazor
Seamless integration with SkillLoader for automatic environment configuration
Performance-optimized file sampling (10-20 files) for sub-second detection times
5 GitHub stars
Multi-signal detection using package managers, file structures, and source code imports
Weighted confidence scoring system to handle complex or overlapping technology stacks

Use Cases

Automatically configuring Claude's coding style and rules upon entering a new repository
Identifying the specific framework within a monorepo to load the correct helper skills
Verifying project architecture before performing large-scale refactors or migrations