Code Explainer logo

Code Explainer

OrganizationPopular
microsoft
code-explainer

**UTILITY SKILL** - Explain code snippets, functions, and algorithms in plain language. USE FOR: explain code, what does this code do, break down this function, help me understand this, walk through this algorithm, clarify this logic, explain this snippet, describe what happens here. DO NOT USE FOR: writing new code (use code generation), fixing bugs (use debugging), refactoring (use refactoring skills), code review with action items. INVOKES: file reading tools to access code, language detection for tailored explanations. FOR SINGLE OPERATIONS: If the user just needs to see file contents, use file reading tools directly.

Overview

Publishermicrosoft
Repositorywaza
Skill namecode-explainer
Stars
1.3K
Forks
82
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Code Explainer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/waza.git /tmp/waza
mkdir -p .claude/skills
cp -r /tmp/waza/examples/code-explainer .claude/skills/code-explainer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Explainer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Code Explainer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Code Explainer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Code Explainer

A skill that explains code snippets in clear, educational language. Helps developers understand unfamiliar code, algorithms, and programming patterns.

Skill Activation Triggers

Use this skill immediately when the user asks to:

  • "Explain this code"
  • "What does this function do?"
  • "Break down this algorithm"
  • "Help me understand this snippet"
  • "Walk me through this code"
  • "What's happening in this file?"

Key Indicators:

  • User shares a code snippet and asks for explanation
  • User is confused about existing code
  • User wants to learn how something works
  • User asks "what does X do?" about code

Do NOT use when:

  • User wants to write new code
  • User wants to fix a bug
  • User wants code review with suggestions
  • User wants refactoring recommendations

Quick Reference

PropertyValue
InputCode snippet + optional language hint
OutputPlain language explanation
Best forLearning, onboarding, code comprehension

Explanation Guidelines

Structure

A good code explanation should include:

  1. Overview - One sentence summary of what the code does
  2. Step-by-step breakdown - Walk through the logic
  3. Key concepts - Explain any patterns or techniques used
  4. Example - Show sample input/output if applicable

Tone

  • Educational and approachable
  • Avoid jargon unless explaining it
  • Use analogies when helpful
  • Assume the reader is smart but unfamiliar with this specific code

Language-Specific Tips

LanguageFocus On
PythonList comprehensions, decorators, generators
JavaScriptAsync/await, closures, callbacks
SQLJOINs, subqueries, aggregations
JavaOOP patterns, generics, streams

Examples

Example 1: Python Recursion

User prompt:

Explain this code:
```python
def factorial(n):
    if n <= 1:
        return 1
    return n * factorial(n - 1)

Good response:

This is a recursive function that calculates the factorial of a number.

Overview: It multiplies a number by all positive integers less than it (e.g., 5! = 5 × 4 × 3 × 2 × 1 = 120).

Step by step:

  1. Base case (if n <= 1): If n is 0 or 1, return 1 (since 0! and 1! both equal 1)
  2. Recursive case: Otherwise, multiply n by factorial(n-1)

Example: factorial(4) → 4 × factorial(3) → 4 × 3 × factorial(2) → 4 × 3 × 2 × factorial(1) → 4 × 3 × 2 × 1 = 24

Example 2: JavaScript Async/Await

User prompt:

What does this code do?
```javascript
async function fetchUserData(userId) {
  try {
    const response = await fetch(`/api/users/${userId}`);
    if (!response.ok) throw new Error('User not found');
    return await response.json();
  } catch (error) {
    console.error('Failed:', error);
    return null;
  }
}

Good response:

This is an async function that fetches user data from an API.

Overview: It makes an HTTP request to get a user's data, handles errors gracefully, and returns the result as JSON.

Step by step:

  1. async function - Declares this function will use await for promises
  2. await fetch(...) - Makes HTTP GET request, waits for response
  3. if (!response.ok) - Checks if request succeeded (status 200-299)
  4. await response.json() - Parses response body as JSON
  5. catch block - If anything fails, logs error and returns null

Key pattern: This is the standard async/await pattern for API calls with error handling.

Error Cases

If the user provides:

  • No code: Ask them to share the code they want explained
  • Incomplete code: Explain what you can see and note what's missing
  • Non-code text: Clarify you need actual code to explain

Integration Notes

This skill works well with:

  • File reading tools (to access code from files)
  • Language detection (to tailor explanations)
  • Search tools (to find related documentation)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Code Explainer AI skill do?

**UTILITY SKILL** - Explain code snippets, functions, and algorithms in plain language. USE FOR: explain code, what does this code do, break down this function, help me understand this, walk through this algorithm, clarify this logic, explain this snippet, describe what happens here. DO NOT USE FOR: writing new code (use code generation), fixing bugs (use debugging), refactoring (use refactoring skills), code review with action items. INVOKES: file reading tools to access code, language detection for tailored explanations. FOR SINGLE OPERATIONS: If the user just needs to see file contents,...

Why use Code Explainer on TypingMind?

Because you install it once and use it with any model. Code Explainer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Code Explainer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/waza/tree/main/examples/code-explainer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Code Explainer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Code Explainer?

As many as you like. As long as a model supports skills, you can use Code Explainer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Code Explainer AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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