code-explainer

Explain code in plain English with optional ASCII diagrams.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/DennisToma/repo_example --skill code-explainer-dennistoma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-explainer
Source: https://github.com/DennisToma/repo_example/tree/main/.claude/skills/_example-code-explainer
Command: npx skills add https://github.com/DennisToma/repo_example --skill code-explainer-dennistoma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers quickly understand unfamiliar code by providing clear, plain-language explanations and optional ASCII diagrams.

Core Features & Use Cases

  • Plain-English explanations: Breaks down code purpose, inputs, outputs, and dependencies.
  • Visual diagrams: Generates ASCII diagrams to illustrate data flow and component relationships.
  • Use Case: Onboards new team members by turning a codebase into approachable documentation.

Quick Start

Use the code-explainer skill to explain a target file, function, or feature area by providing its path or name.

Frequently Asked Questions about code-explainer

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

FAQPage Schema
How do I explain unfamiliar code in plain English for new team members?

You can explain unfamiliar code by analyzing its structure and behavior to generate plain English documentation. This process breaks down code purpose, inputs, outputs, and dependencies to create approachable onboarding materials for new developers.

Can I generate ASCII diagrams to visualize code flow and component relationships?

Yes, you can generate ASCII diagrams to visualize code flow and component relationships. The tool reads code across various languages and outputs structured visual diagrams illustrating data flow alongside plain-language explanations.

What is the best way to document a codebase for developer onboarding?

Documenting a codebase for onboarding works best by turning code into approachable explanations with optional visual diagrams. Providing a target file or function path generates structured plain-language documentation with usage examples.

Does this code explanation approach work across different programming languages?

Yes, this code explanation approach works across different programming languages. It reads code from various libraries and modules, analyzes structure and behavior, and outputs plain-language explanations regardless of the specific programming language used.

How do I turn a complex module into approachable documentation?

You turn a complex module into approachable documentation by providing its path or name for analysis. The tool reads the module structure and outputs a structured plain-language explanation with optional ASCII diagrams and usage examples.

What are the limitations of using plain English explanations for code onboarding?

The plain English explanation approach is limited to basic structural and behavioral analysis without deep execution tracing. It provides optional ASCII diagrams and usage examples, but does not replace runtime debugging or comprehensive technical API references.