moai-core-language-detection

Auto-detect language and framework by analyzing configuration files like package.json, pyproject.toml, Cargo.toml, and go.mod. The Skill applies pattern-based detection with priority rules to infer language, framework, package manager, and runtime version across Node.js, Python, Rust, and Go projects, with fallback to file-extension analysis.

Yes, language detection handles monorepo recognition and multi-package workspaces. The Skill parses multiple configuration files simultaneously to identify distinct projects, frameworks, and package managers within the same repository structure.

Language detection analyzes package.json for Node.js, pyproject.toml for Python, Cargo.toml for Rust, go.mod for Go, and similar framework-specific configuration files. It extracts dependencies, runtime versions, and framework metadata to infer project structure and technology stack.

Framework identification uses dependency-based detection to recognize frameworks like Next.js, Django, Flask, and Express by analyzing declared packages and their versions. When direct configuration is unavailable, it falls back to file-extension pattern matching.

No, manual specification is not required. The Skill automatically infers language, framework, and package manager from configuration files and dependencies using pattern matching and priority rules, eliminating the need for manual input.

If standard configuration files are unavailable or incomplete, the Skill applies fallback analysis using file-extension detection to infer language and framework. This ensures detection continues even when primary sources are limited.