code-summarizer

Generate concise summaries of source code across functions, modules, and entire codebases.

142|14|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill code-summarizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-summarizer
Source: https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/code-summarizer
Command: npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill code-summarizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users quickly understand and summarize source code, regardless of its size, by adapting the level of detail to the code's complexity.

Core Features & Use Cases

  • Summarize code: Generate concise explanations for functions, classes, modules, or entire codebases.
  • Adaptable detail: Provides high-level overviews for large projects and focused explanations for smaller code snippets.
  • Use Case: You've inherited a large codebase and need to understand its main components and how they interact. This Skill can provide an overview and then drill down into specific modules as requested.

Quick Start

Use the code-summarizer skill to explain the purpose and core logic of the provided Python function.

Frequently Asked Questions about code-summarizer

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

FAQPage Schema
How do I generate concise summaries of source code for a large inherited codebase?

To summarize source code for large codebases, this Skill provides high-level overviews of main components and their interactions, adapting the level of detail to the project's complexity. You can then drill down into specific modules as requested.

What is the best way to understand the intention and core logic of a specific function?

The best way to understand a specific function is using code summarization, which generates focused explanations of intention and core logic for individual code snippets. It adapts its summarization approach based on the code size and complexity.

Can I get a high-level overview of an entire codebase and then drill down into specific modules?

Yes, you can get a high-level overview of an entire codebase and drill down into specific modules. The summarization approach adapts to code size, providing concise explanations for functions and high-level summaries for large projects.

Does the code summarization approach change based on code size and complexity?

Yes, the code summarization approach adapts based on code size and complexity. It provides focused explanations for smaller code snippets and functions, while delivering high-level overviews for larger codebases to ensure concise understanding.

How do I document the purpose and core logic of an unfamiliar Python function?

To document the purpose and core logic of an unfamiliar Python function, use code summarization to generate concise explanations. This Skill scales its output to explain intention for individual functions and provide overviews for entire modules.