Which programming languages are supported?

The skill has built-in detection strategies for TypeScript, JavaScript, Python, Go, Rust, Java, Ruby, PHP, and C#.

How does this skill detect my project's technology stack?

The skill scans project manifest files such as package.json, requirements.txt, and go.mod, while also analyzing file extensions and directory structures to identify languages and frameworks.

Can I customize or override the automatic detection?

Yes, you can manually edit the .devloop/context.json file to add custom feature flags, security notes, or correct any misidentified components.

Where is the detected project context stored?

Context information is stored locally in your repository at .devloop/context.json, allowing it to be shared across different AI agents and sessions.

Project Context Detector

Name: Project Context Detector
Author: Zate

byZate

Productividad y Flujo de Trabajo

Analyzes and documents project technology stacks, frameworks, and architectural features to provide contextual awareness for AI agents.

Acerca de

The Project Context skill enables Claude to instantly understand your codebase by detecting languages, frameworks, and core features like authentication, databases, and API structures. It generates a standardized .devloop/context.json file that serves as a single source of truth for development workflows, helping AI agents make informed architecture decisions, select appropriate testing strategies, and apply domain-specific patterns without manual configuration. This skill is essential for maintaining consistency across complex repositories and accelerating project onboarding.

Características Principales

Automated tech stack detection for 10+ languages and dozens of popular frameworks
Standardized JSON schema generation for consistent AI interaction and tool integration
0 GitHub stars
Freshness tracking to ensure project metadata stays synchronized with code evolution
Identification of core architectural features like OAuth, WebSockets, and payment gateways
Security concern mapping that aligns project features with specific security domains

Casos de Uso

Rapidly onboarding to a new repository by generating a comprehensive architecture map
Automating the selection of development workflows based on detected frameworks like React, Django, or Go
Scoping security audits by automatically identifying sensitive features like file uploads and authentication

Acerca de

Características Principales

Automated tech stack detection for 10+ languages and dozens of popular frameworks
Standardized JSON schema generation for consistent AI interaction and tool integration
0 GitHub stars
Freshness tracking to ensure project metadata stays synchronized with code evolution
Identification of core architectural features like OAuth, WebSockets, and payment gateways
Security concern mapping that aligns project features with specific security domains

Casos de Uso

Rapidly onboarding to a new repository by generating a comprehensive architecture map
Automating the selection of development workflows based on detected frameworks like React, Django, or Go
Scoping security audits by automatically identifying sensitive features like file uploads and authentication