Explain logo

Explain

CommunityPopular
FlorianBruniaux
explain

Explain code, concepts, or system behavior with adjustable depth levels

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill nameexplain
Stars
6K
Forks
782
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Explain 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/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/explain .claude/skills/explain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explain 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 Explain 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 Explain 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

Explain code, concepts, or system behavior with adjustable depth levels.

Purpose

Get clear explanations of:

  • How specific code works
  • Why certain patterns are used
  • What a system/module does
  • Architectural decisions and trade-offs

Instructions

Step 1: Determine Scope

Identify what needs explanation:

  • File: Entire file structure and purpose
  • Function/Method: Specific implementation details
  • Concept: Architectural pattern or design decision
  • Flow: How data/control moves through the system

Step 2: Assess Complexity

Simple (1-2 min read)     → Quick summary, key points only
Standard (3-5 min read)   → Purpose, how it works, key decisions
Deep (10+ min read)       → Full breakdown, alternatives, trade-offs

Step 3: Gather Context

bash
# For file explanations
head -50 "$FILE"  # See imports and structure

# For function explanations
grep -A 30 "function $NAME\|def $NAME\|fn $NAME" "$FILE"

# For module explanations
ls -la "$DIR"
cat "$DIR/index.ts" 2>/dev/null || cat "$DIR/__init__.py" 2>/dev/null

Step 4: Structure the Explanation

Output Format


📖 Explanation: [Target]

Scope: [file/function/concept/flow] Depth: [simple/standard/deep]

What It Does

[1-3 sentences describing the purpose]

How It Works

[Step-by-step breakdown appropriate to depth level]

Key Decisions

DecisionWhyAlternative
[choice made][reasoning][what else could work]

Example Usage

typescript
// How to use this correctly

Related Code

  • path/to/related.ts - [relationship]
  • path/to/dependency.ts - [relationship]

💡 Learning Notes (if --learn flag)

[Additional context for understanding the broader pattern]


Depth Levels

Simple (/explain --simple)

markdown
**validateUser()** checks if the user object has required fields
(email, password) and returns a boolean. Uses regex for email format.

Standard (/explain - default)

markdown
**validateUser(user: User): ValidationResult**

**Purpose**: Validates user input before database operations.

**Flow**:
1. Check required fields exist (email, password)
2. Validate email format with regex
3. Check password meets requirements (8+ chars, special char)
4. Return { valid: boolean, errors: string[] }

**Used by**: signup(), updateProfile()

Deep (/explain --deep)

markdown
[All of standard, plus:]

**Design Decisions**:
- Returns ValidationResult instead of throwing to allow batch validation
- Regex chosen over library for zero dependencies
- Password rules configurable via config.ts

**Trade-offs**:
- Pro: Fast, no dependencies
- Con: Regex email validation isn't RFC-compliant

**Alternatives Considered**:
- Zod schema: More powerful but adds 50KB
- Class-validator: Better for decorators but OOP-heavy

Usage Examples

Explain a file:

/explain src/auth/middleware.ts

Explain a function:

/explain the handleWebhook function in payments.ts

Explain a concept:

/explain how our event sourcing works

Explain with specific depth:

/explain --deep the authentication flow
/explain --simple what useCallback does

Explain for learning:

/explain --learn the repository pattern used here

Tips

  1. Be specific: "Explain line 45-60" > "Explain this file"
  2. State your level: "I'm new to TypeScript" helps calibrate
  3. Ask follow-ups: "Why not use X instead?" deepens understanding
  4. Request analogies: "Explain like I'm familiar with Python but not TS"

$ARGUMENTS

Frequently asked questions

What does the Explain AI skill do?

Explain code, concepts, or system behavior with adjustable depth levels

Why use Explain on TypingMind?

Because you install it once and use it with any model. Explain 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 Explain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/explain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Explain?

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 Explain?

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

Is the Explain AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇