Code Manager Skill

Clone GitHub repositories and analyze Python code with AST to extract design patterns.

Updated Feb 1, 2026
One-click install
npx skills add https://github.com/sabyunrepo/IaaS --skill code-manager-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Code Manager Skill
Source: https://github.com/sabyunrepo/IaaS/tree/main/docs/architecture/skills/code-manager
Command: npx skills add https://github.com/sabyunrepo/IaaS --skill code-manager-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of cloning GitHub repositories, analyzing Python code, and extracting valuable information for generating insightful questions.

Core Features & Use Cases

  • Repository Cloning: Downloads source code from specified GitHub URLs.
  • Code Analysis: Parses Python files to understand structure, identify patterns, and extract notable implementations.
  • Information Extraction: Pinpoints complex functions, design patterns, and code snippets suitable for further inquiry.
  • Use Case: Analyze a GitHub repository to identify all implemented design patterns and extract the most complex functions for a code review.

Quick Start

Use the code manager skill to analyze the code at the provided GitHub URL.

Frequently Asked Questions about Code Manager Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Python code from a GitHub repository to identify design patterns?

To analyze Python code from a GitHub repository, this Skill clones the source and uses Abstract Syntax Trees (AST) to parse the files and identify implemented design patterns. It automatically extracts complex functions for review.

Can I extract complex functions from GitHub source code for a code review?

Yes, you can extract complex functions from GitHub source code for a code review by parsing the cloned Python files. The analysis pinpoints complex functions and extracts notable code snippets suitable for further inquiry.

How does AST parsing work for extracting notable code implementations?

AST parsing for extracting notable code implementations works by analyzing the abstract syntax trees of Python files to understand their structure. It identifies complex functions and design patterns, then stores the extracted results in a vector store.

Does this code analysis approach support storing extracted results for later retrieval?

Yes, this code analysis approach supports storing extracted results for later retrieval by saving the AST analysis output in a vector store. This allows you to query the identified design patterns and complex functions at a later time.

What is the best way to automate Python code analysis from a GitHub URL?

The best way to automate Python code analysis from a GitHub URL is to use a script that clones the repository and parses the Python files. It extracts valuable information like design patterns and complex functions for generating insightful questions.