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vanman2024

project-detection

by vanman2024

0🍴 0📅 Jan 25, 2026

SKILL.md


name: Project Detection description: Framework and stack identification with detection scripts and patterns. Use when detecting project type, analyzing framework, identifying stack, initializing projects, or when user mentions project detection, framework analysis, stack identification, or codebase analysis. allowed-tools: Read, Bash, Glob, Grep

Project Detection

CRITICAL: The description field above controls when Claude auto-loads this skill.

This skill provides mechanical detection scripts and patterns for identifying project frameworks, languages, and structures across any technology stack.

What This Skill Provides

1. Detection Scripts (Mechanical - No AI Needed)

  • detect-framework.sh - Identifies framework from config files
  • detect-language.sh - Detects primary programming language
  • detect-structure.sh - Maps project directory structure
  • detect-tools.sh - Finds build tools, linters, formatters
  • analyze-dependencies.sh - Analyzes package dependencies

2. Templates

  • project-json.template - Standard project.json structure
  • Framework detection patterns for 20+ frameworks
  • Language detection rules

3. Reference Documentation

  • Framework identification rules
  • Directory structure patterns
  • Tooling detection logic

Instructions

When user asks to detect or analyze a project:

Step 1: Run Framework Detection

Execute the framework detection script:

!{bash plugins/01-core/skills/project-detection/scripts/detect-framework.sh .}

This mechanically checks for:

  • package.json (Node.js/JavaScript)
  • pyproject.toml, requirements.txt (Python)
  • Cargo.toml (Rust)
  • go.mod (Go)
  • pom.xml, build.gradle (Java)
  • composer.json (PHP)
  • Gemfile (Ruby)

Step 2: Detect Language and Version

Execute language detection:

!{bash plugins/01-core/skills/project-detection/scripts/detect-language.sh .}

Step 3: Map Directory Structure

Execute structure detection:

!{bash plugins/01-core/skills/project-detection/scripts/detect-structure.sh .}

Step 4: Analyze Dependencies and Tools

Execute dependency analysis:

!{bash plugins/01-core/skills/project-detection/scripts/analyze-dependencies.sh .}

Step 5: Generate Project Configuration

Use the detected information to create .claude/project.json with:

  • type (web-app, api, cli, library, etc.)
  • framework (Next.js, Django, FastAPI, etc.)
  • language and version
  • structure mappings
  • tools (build, test, lint, format)
  • dependencies

Detection Patterns

Framework Detection Rules

Node.js Frameworks:

  • Next.js: package.json contains "next" dependency + pages/ or app/ directory
  • React: package.json contains "react" + src/components/
  • Vue: package.json contains "vue" + src/
  • Express: package.json contains "express"
  • NestJS: package.json contains "@nestjs/core"

Python Frameworks:

  • Django: requirements.txt contains "Django" or pyproject.toml lists django
  • FastAPI: fastapi dependency + app/main.py pattern
  • Flask: flask dependency
  • Streamlit: streamlit dependency

Rust:

  • Cargo.toml [package] section
  • Check for web frameworks: axum, actix-web, rocket

Go:

  • go.mod file
  • Check for frameworks: gin, echo, fiber

Structure Detection Patterns

Common Patterns:

  • src/, app/, lib/ → Source code
  • components/, pages/ → Frontend
  • api/, routes/, handlers/ → Backend
  • tests/, test/, spec/ → Tests
  • docs/, documentation/ → Documentation
  • config/, .config/ → Configuration

Examples

Example 1: Detect Next.js Project

User: "What framework is this project using?"

Claude (auto-loads this skill, runs detection): !{bash plugins/01-core/skills/project-detection/scripts/detect-framework.sh .}

Result: "Next.js 14.0.0 with TypeScript, App Router architecture"

Example 2: Initialize New Project

User: "Initialize this project"

Claude (auto-loads this skill, analyzes structure): !{bash plugins/01-core/skills/project-detection/scripts/detect-structure.sh .}

Creates .claude/project.json with detected mappings

Requirements

Scripts must be:

  • ✅ Mechanical (pattern recognition, no AI decisions)
  • ✅ Fast (complete in < 1 second)
  • ✅ Project-agnostic (work with ANY framework)
  • ✅ Exit codes: 0 = success, 1 = error

Output format:

  • JSON for machine parsing
  • Clear status messages for humans
  • Error messages explain what's missing

Success Criteria

  • ✅ Detects 20+ frameworks accurately
  • ✅ Works in any project directory
  • ✅ Generates valid project.json
  • ✅ Scripts are executable and documented
  • ✅ No hardcoded assumptions about structure

Plugin: 01-core Skill Type: Analyzer + Generator Auto-invocation: Yes (via description matching)

Score

Total Score

50/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

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LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
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3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
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1つ以上のタグが設定されている

0/5

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