write-guide

vercel/next.js · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/vercel/next.js --skill write-guide
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summary

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

skill.md

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

---
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't Do
"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."

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.
how to use write-guide

How to use write-guide on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add write-guide
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vercel/next.js --skill write-guide

The skills CLI fetches write-guide from GitHub repository vercel/next.js and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/write-guide

Reload or restart Cursor to activate write-guide. Access the skill through slash commands (e.g., /write-guide) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.543 reviews
  • Chaitanya Patil· Dec 24, 2024

    write-guide fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Olivia Singh· Dec 20, 2024

    Solid pick for teams standardizing on skills: write-guide is focused, and the summary matches what you get after install.

  • Alexander Tandon· Dec 8, 2024

    Registry listing for write-guide matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diya Shah· Dec 4, 2024

    write-guide has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Alexander Brown· Nov 27, 2024

    Useful defaults in write-guide — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Sharma· Nov 11, 2024

    Solid pick for teams standardizing on skills: write-guide is focused, and the summary matches what you get after install.

  • Alexander Chen· Oct 18, 2024

    I recommend write-guide for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diya Kapoor· Oct 2, 2024

    write-guide has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Sep 21, 2024

    write-guide has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Alexander Taylor· Sep 21, 2024

    Useful defaults in write-guide — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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