explain-code

Explain source code in plain English and trace data and control flow.

Updated Aug 27, 2026

Search Tags:#code #code-review #design-patterns #control-flow #data-flow #explain #developer-onboarding

Ready to run

npx skills add https://github.com/thisguymartin/ai-native-dev --skill explain-code-thisguymartin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: explain-code
Source: https://github.com/thisguymartin/ai-native-dev/tree/main/.gemini/skills/explain-code
Command: npx skills add https://github.com/thisguymartin/ai-native-dev --skill explain-code-thisguymartin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers rapidly understand unfamiliar or complex code by translating implementation into plain English, tracing data and control flow, and connecting low-level details to higher-level design concepts.

Core Features & Use Cases

Clarification-first workflow: Always requests scope, depth, focus, and experience level before producing an explanation so output is tailored to the user.
Multi-depth explanations: Supports Quick (high-level), Standard (line-by-line), and Deep (architecture, trade-offs, and alternatives) modes for code walkthroughs, reviews, and onboarding.
Focused analysis: Emphasizes data flow, control flow, design patterns, performance considerations, and edge cases to aid code review and documentation efforts.

Quick Start

Ask the skill to explain a specific file or function and request Standard depth with a focus on data flow.

Frequently Asked Questions about explain-code

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

FAQPage Schema

How do I explain complex source code in plain English for developer onboarding?▼

To explain source code in plain English, use a clarification-first workflow that requests scope, depth, and focus before producing stepwise explanations. This translates implementation details into readable English by tracing data flow and control flow.

How do I trace data flow and control flow during a code walkthrough?▼

Tracing data flow and control flow during a code walkthrough requires analyzing how variables propagate and how execution branches across specific line ranges. The process produces focused explanations emphasizing design patterns, performance, and edge cases.

What is the best way to review unfamiliar code across different programming languages?▼

The best way to review unfamiliar code across programming languages is to request multi-depth explanations that connect low-level implementation details to higher-level architecture. This ensures comprehensive comprehension without modifying the original code.

Can I get a high-level summary of a function without reading every line of code?▼

You can get a high-level summary of a function by requesting Quick depth mode. This provides a high-level overview of the implementation, translating complex logic into plain English for rapid comprehension instead of a line-by-line breakdown.

Does the code explanation process work for analyzing design patterns and trade-offs?▼

The code explanation process works for analyzing design patterns and trade-offs by using Deep depth mode. This mode produces stepwise explanations covering architecture, alternative approaches, and performance considerations alongside the standard data flow tracing.

What do I need to provide before getting an explanation of a code module?▼

Before getting an explanation of a code module, you need to provide the desired scope, depth, focus, and your experience level. This mandatory clarification protocol ensures the output is tailored to your specific code review or documentation needs.