Project Detection Commands

project_type [directory]

Enhanced project type detection with AI analysis. Automatically identifies the type of project based on file structure, key files, and technologies used.

Features:

• Automatic project type detection (Python, Node.js, Java, Go, Rust, C/C++, C#/.NET, Docker, etc.)
• Primary and secondary type identification
• Confidence scoring (High/Medium/Low)
• Technology and framework detection
• Key project files identification
• Language distribution analysis
• Build tools and package managers detection
• AI-powered deeper analysis (when AI is enabled)

Detected Project Types:

• Python: Detects requirements.txt, setup.py, pyproject.toml, Pipfile, conda.yml
• Node.js: Detects package.json, package-lock.json, yarn.lock, node_modules
• Java: Detects pom.xml, build.gradle, gradlew, mvnw
• C#/.NET: Detects .csproj, .sln, packages.config, project.json
• Go: Detects go.mod, go.sum, Gopkg.toml, glide.yaml
• Rust: Detects Cargo.toml, Cargo.lock
• Docker: Detects Dockerfile
• Git Repository: Detects .git directory
• C/C++: Detects Makefile

Parameters:

• directory - (Optional) Directory to analyze. Defaults to current directory (.)

Examples:

# Detect current directory project type
project_type

# Detect project type in specific directory
project_type src/
project_type /path/to/project

Output Information:

• Primary project type
• Secondary types (if applicable)
• Confidence level
• Total files and code files count
• Key project files (up to 10)
• Technologies detected
• Frameworks and libraries
• AI-powered architecture assessment (when AI enabled)

dependencies_check [directory]

Check dependencies for security issues and updates. Analyzes dependency management files and provides insights about outdated packages, security vulnerabilities, and dependency health.

Features:

• Automatic detection of dependency files
• Support for multiple package managers
• Security vulnerability analysis
• Outdated dependency detection
• AI-powered dependency analysis (when AI enabled)

Supported Dependency Files:

• Node.js: package.json, package-lock.json, yarn.lock
• Python: requirements.txt, Pipfile, poetry.lock, pyproject.toml
• Ruby: Gemfile, Gemfile.lock
• PHP: composer.json, composer.lock
• Go: go.mod, go.sum
• Rust: Cargo.toml, Cargo.lock
• Java: pom.xml, build.gradle

Parameters:

• directory - (Optional) Directory to check. Defaults to current directory (.)

Examples:

# Check dependencies in current directory
dependencies_check

# Check dependencies in specific directory
dependencies_check src/
dependencies_check /path/to/project

Analysis Includes:

• Dependency count and listing
• Version information
• Security vulnerability assessment
• Outdated package detection
• AI-powered recommendations for updates and security fixes

project_health [directory]

Comprehensive project health analysis that evaluates multiple aspects of your project and provides a health score with detailed recommendations.

Health Categories:

• 📚 Documentation: README files, docs directories, documentation completeness
• 🧪 Testing: Test files, test directories, test coverage indicators
• 📂 Structure: Project organization, .gitignore, LICENSE, CHANGELOG, CI/CD configs
• 📦 Dependencies: Dependency management files, dependency health
• 🔒 Security: Security best practices, potential secrets exposure, security configurations
• 🔧 Maintenance: Git repository status, project activity indicators

Scoring System:

Each category is scored from 0-100, and an overall health score is calculated as the average of all category scores.

Parameters:

• directory - (Optional) Directory to analyze. Defaults to current directory (.)

Examples:

# Analyze current directory health
project_health

# Analyze specific directory
project_health src/
project_health /path/to/project

AI-Powered Analysis:

When AI is enabled, the command provides:

• Priority issues that need immediate attention
• Step-by-step action plan to improve project health
• Quick wins for easy improvements
• Specific documentation recommendations
• Testing strategy recommendations
• Security hardening suggestions
• Long-term maintenance recommendations
• Industry best practices for the project type

missing_files [directory]

AI-powered analysis that suggests missing files that would improve your project quality, maintainability, and completeness.

Features:

• Analyzes project structure and existing files
• Suggests missing documentation files
• Recommends testing files and configurations
• Suggests configuration files
• Recommends security-related files
• Provides development helper suggestions
• Includes deployment configuration recommendations
• Prioritizes suggestions (High/Medium/Low)

File Categories Suggested:

• 📚 Documentation: README, CHANGELOG, API docs, etc.
• 🧪 Testing: Test files, test configuration
• 🔧 Configuration: Build files, CI/CD, linting configs
• 🔒 Security: Security policies, .gitignore, etc.
• 🏃 Development: Development helpers, scripts
• 📦 Deployment: Docker files, deployment configs
• 📄 Legal: License, contributing guidelines
• 🎯 Quality: Code quality tools, formatting configs

Parameters:

• directory - (Optional) Directory to analyze. Defaults to current directory (.)

Examples:

# Get suggestions for current directory
missing_files

# Get suggestions for specific directory
missing_files src/

project_optimize [directory]

AI-powered comprehensive project optimization that analyzes your entire project and provides detailed recommendations for improving structure, performance, maintainability, and best practices.

Features:

• Comprehensive project structure analysis
• File size and distribution analysis
• Large file identification
• Project health integration
• Dependency analysis
• AI-powered optimization recommendations
• Prioritized action items

Analysis Includes:

• Project type and structure
• Total files and code files count
• Project size (MB)
• Language distribution
• File type distribution
• Large files identification (>1MB)
• Health scores across all categories
• Dependency management status

Parameters:

• directory - (Optional) Directory to optimize. Defaults to current directory (.)

Examples:

# Optimize current directory project
project_optimize

# Optimize specific directory
project_optimize src/

AI Recommendations Include:

• Project structure improvements
• File organization recommendations
• Performance optimizations
• Dependency management improvements
• Documentation enhancements
• Testing strategy improvements
• Security hardening suggestions
• Build and deployment optimizations

project [analyze]

General project command that shows basic project information or performs deep AI-powered project analysis.

Usage:

• project - Show current project type and working directory
• project analyze - Perform deep AI-powered project structure analysis

Examples:

# Show basic project info
project

# Deep AI analysis
project analyze