Project Analyzer

Name: project-analyzer
Rating: 78
Author: chipoto69

Deep analysis of project codebases for documentation and portfolio generation.

Capabilities

Code Statistics

•Lines of code by language
•File count and distribution
•Comment density
•Code complexity metrics

Dependency Analysis

•Direct dependencies
•Dev dependencies
•Outdated packages
•Security vulnerabilities

Git Analytics

•Total commits
•Contributors
•Activity timeline
•Commit frequency patterns

Architecture Detection

•Framework identification
•Design patterns used
•Module structure
•API surface

Usage

bash

# Analyze current project
/analyze

# Analyze specific project
/analyze --project ~/projects/my-app

# Generate full report
/analyze --full --output report.md

Output Format

yaml

project:
  name: my-project
  path: /path/to/project
  created: 2025-10-15
  last_activity: 2026-01-19
  
code:
  total_lines: 45230
  languages:
    Python: 28450
    TypeScript: 12340
    YAML: 2100
    Markdown: 2340
  files: 234
  
git:
  total_commits: 847
  contributors: 3
  first_commit: 2025-10-15
  last_commit: 2026-01-19
  commit_frequency: 12/week
  
stack:
  frameworks: [FastAPI, Next.js, LangChain]
  databases: [PostgreSQL, Qdrant]
  infrastructure: [Docker, Vercel]
  
health:
  test_coverage: 78%
  doc_coverage: 65%
  dependency_freshness: 89%

Integration

Feeds into:

•knowledge-forge for Obsidian notes
•portfolio-forge for static site generation

Requirements

Install analysis tools:

bash

# Code statistics (choose one)
brew install tokei  # Fast, Rust-based
brew install cloc   # Comprehensive, Perl-based

# For tree visualization
brew install tree