Write Guide logo

Write Guide

OrganizationPopular
vercel
write-guide

Generates technical guides that teach real-world use cases through progressive examples. **Auto-activation:** User asks to write, create, or draft a guide or tutorial. Also use when converting feature documentation, API references, or skill knowledge into step-by-step learning content. **Input sources:** Feature skills, API documentation, existing code examples, or user-provided specifications. **Output type:** A markdown guide with YAML frontmatter, introduction, 2-4 progressive steps, and next steps section.

Overview

Publishervercel
Repositorynext.js
Skill namewrite-guide
Stars
143.1K
Forks
34.7K
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Write Guide 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.
    https://github.com/vercel/next.js/tree/canary/.agents/skills/write-guide
  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/vercel/next.js.git /tmp/next.js
mkdir -p .claude/skills
cp -r /tmp/next.js/.agents/skills/write-guide .claude/skills/write-guide
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Write Guide 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 Write Guide 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 Write Guide 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.

Writing Guides

Goal

Produce a technical guide that teaches a real-world use case through progressive examples. Concepts are introduced only when the reader needs them.

Each guide solves one specific problem. Not a category of problems. If the outline has 5+ steps or covers multiple approaches, split it.

Structure

Every guide follows this arc: introduction, example setup, 2-5 progressive steps, next steps.

Each step follows this loop: working code → new requirement → friction → explanation → resolution → observable proof.

Sections: introduction (no heading, 2 paragraphs max), ## Example (what we're building + source link), ### Step N (action-oriented titles, 2-4 steps), ## Next steps (summary + related links).

Headings should tell a story on their own. If readers only saw the headings, they'd understand the guide's takeaway.

Template

markdown
---
title: {Action-oriented, e.g., "Building X" or "How to Y"}
description: {One sentence}
nav_title: {Short title for navigation}
---

{What the reader will accomplish and why it matters. The friction and how this approach resolves it. 2 paragraphs max.}

## Example

As an example, we'll build {what we're building}.

We'll start with {step 1}, then {step 2}, and {step 3}.

{Source code link.}

### Step 1: {Action-oriented title}

{Brief context, 1-2 sentences.}

```tsx filename="path/to/file.tsx"
// Minimal working code
```

{Explain what happens.}

{Introduce friction: warning, limitation, or constraint.}

{Resolution: explain the choice, apply the fix.}

{Verify the fix with observable proof.}

### Step 2: {Action-oriented title}

{Same pattern: context → code → explain → friction → resolution → proof.}

### Step 3: {Action-oriented title}

{Same pattern.}

## Next steps

You now know how to {summary}.

Next, learn how to:

- [Related guide 1]()
- [Related guide 2]()

Workflow

  1. Research: Check available skills for relevant features. Read existing docs for context and linking opportunities.
  2. Plan: Outline sections. Verify scope (one problem, 2-4 steps). Each step needs a friction point and resolution.
  3. Write: Follow the template above. Apply the rules below.
  4. Review: Re-read the rules, verify, then present.

Rules

  1. Progressive disclosure. Start with the smallest working example. Introduce complexity only when the example breaks. Name concepts at the moment of resolution, after the reader has felt the problem. Full loop: working → new requirement → something breaks → explain why → name the fix → apply → verify with proof → move on.
  2. Show problems visually. Console errors, terminal output, build warnings, slow-loading pages. "If we refresh the page, we can see the component blocks the response."
  3. Verify resolutions with observable proof. Before/after comparisons, browser reloads, terminal output. "If we refresh the page again, we can see it loads instantly."
  4. One friction point per step. If a step has multiple friction points, split it.
  5. Minimal code blocks. Only the code needed for the current step. Collapse unchanged functions with function Header() {}.
  6. No em dashes. Use periods, commas, or parentheses instead.
  7. Mechanical, observable language. Describe what happens, not how it feels.
  8. No selling, justifying, or comparing. No "the best way," no historical context, no framework comparisons.
Don'tDo
"creates friction in the pipeline""blocks the response"
"needs dynamic information""depends on request-time data"
"requires dynamic processing""output can't be known ahead of time"
"The component blocks the response — causing delays""The component blocks the response. This causes delays."
  1. Bridge new framework terms with legacy or generic vocabulary in description and intro. Guides win or lose SERPs on the colloquial query (e.g. "next js form submission", "next js api endpoint", "next js error page"), not on the framework's preferred noun. When the guide covers a renamed or differentiated concept, include one synonym (Pages-era term, REST/web term, or industry-standard label) in the frontmatter description and once in the introduction. Fold into prose. No separate "Synonyms" or "Also known as" section.
Don'tDo
"Learn how to use Route Handlers""Build API endpoints (formerly API Routes) with Route Handlers"
"Learn how to mutate data with Server Functions""Submit forms and update data with Server Functions, the App Router approach to form posts and API mutations"

References

Read these guides in docs/01-app/02-guides/ before writing. They demonstrate the patterns above.

  • public-static-pages.mdx — intro → example → 3 progressive steps → next steps. Concepts named at point of resolution. Problems shown with build output.
  • forms.mdx — progressive feature building without explicit "Step" labels. Each section adds one capability.

Frequently asked questions

What does the Write Guide AI skill do?

Generates technical guides that teach real-world use cases through progressive examples. **Auto-activation:** User asks to write, create, or draft a guide or tutorial. Also use when converting feature documentation, API references, or skill knowledge into step-by-step learning content. **Input sources:** Feature skills, API documentation, existing code examples, or user-provided specifications. **Output type:** A markdown guide with YAML frontmatter, introduction, 2-4 progressive steps, and next steps section.

Why use Write Guide on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/next.js/tree/canary/.agents/skills/write-guide. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Write Guide?

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 Write Guide?

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

Is the Write Guide AI skill free?

Yes. It is published on GitHub by vercel 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.

View all

Set up your own AI workspace now

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