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Devrel Content

Community
jonathimer
devrel-content

When the user wants to create technical content for developers including blog posts, tutorials, and documentation. Trigger phrases include "write a blog post," "technical article," "developer content," "tutorial," "devrel content," "dev blog," "technical writing," or "content for developers."

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill namedevrel-content
Stars
87
Forks
6
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 jonathimer on GitHub. Read the source before you install it.

Installation

Install the Devrel Content 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/jonathimer/devmarketing-skills.git /tmp/devmarketing-skills
mkdir -p .claude/skills
cp -r /tmp/devmarketing-skills/skills/devrel-content .claude/skills/devrel-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devrel Content 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 Devrel Content 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 Devrel Content 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.

DevRel Content

This skill helps you create technical content that developers actually read: blog posts, tutorials, documentation, and thought leadership pieces that build trust and drive adoption.


Before You Start

Load your audience context first. Read .agents/developer-audience-context.md to understand:

  • Who you're writing for (role, seniority, tech stack)
  • Their pain points (what problems resonate)
  • Verbatim language (how they describe things)
  • Voice & tone (how formal/technical to be)

If the context file doesn't exist, run the developer-audience-context skill first.


The DevRel Content Framework

Phase 1: Research & Validation

Before writing anything, validate the topic is worth writing about.

Research TypeWhat to Do
Search intentGoogle your topic. What already ranks? What's missing?
Community signalsSearch Reddit, HN, Stack Overflow. Are developers asking about this?
Competitor gapsWhat have competitors written? What haven't they covered?
Internal dataSupport tickets, Discord questions, GitHub issues about this topic
Keyword researchUse Ahrefs/SEMrush for search volume on technical terms

Red flags — Don't write if:

  • You're the only one who cares about this topic
  • 10 identical articles already exist
  • The topic is too broad ("Introduction to JavaScript")
  • The topic is too narrow (no search volume, no community interest)

Phase 2: Content Type Selection

Choose the right format for your goal:

Content TypeBest ForStructure
TutorialTeaching a specific skillStep-by-step, code-heavy
GuideCovering a topic comprehensivelySections, reference material
ComparisonHelping with decisionsTable-based, pros/cons
AnnouncementLaunching features/productsNews lead, what/why/how
Thought leadershipBuilding authorityOpinion, predictions, takes
Case studySocial proofProblem → Solution → Results
TroubleshootingSolving specific errorsError → Cause → Fix

Phase 3: Outline Structure

Use this outline template:

markdown
# [Title that promises specific value]

## Hook (2-3 sentences)
- State the problem or opportunity
- Establish credibility ("We migrated 10,000 repos...")
- Promise what the reader will learn

## Context (optional)
- Brief background if needed
- Link to prerequisites

## The Meat
### Section 1: [First major concept]
- Explanation
- Code example
- Common pitfall

### Section 2: [Second major concept]
- Explanation
- Code example
- Real-world application

### Section 3: [Third major concept]
- Explanation
- Code example
- Advanced tip

## Putting It Together
- Complete example
- Working code

## What's Next
- Links to deeper content
- Call to action (try the product, join Discord, etc.)

Writing Code Examples

Code is the content. Get it right.

The Copy-Paste Test

Every code example must:

RequirementWhy It Matters
Run without modificationDevelopers will copy-paste. If it fails, you lose trust.
Include importsDon't assume they know which libraries to import.
Show outputWhat should they see when it works?
Handle errorsReal code has error handling. Show it.
Use real valuesNo foo, bar, example.com unless necessary.

Code Example Structure

markdown
First, install the dependencies:

\`\`\`bash
npm install your-library axios
\`\`\`

Now create a file called `fetch-data.js`:

\`\`\`javascript
// fetch-data.js
import { Client } from 'your-library';
import axios from 'axios';

const client = new Client({
  apiKey: process.env.YOUR_API_KEY // Use environment variables
});

async function fetchUserData(userId) {
  try {
    const user = await client.users.get(userId);
    console.log(`Fetched user: ${user.name}`);
    return user;
  } catch (error) {
    console.error(`Failed to fetch user: ${error.message}`);
    throw error;
  }
}

// Example usage
fetchUserData('user_123')
  .then(user => console.log(user))
  .catch(err => process.exit(1));
\`\`\`

Run it:

\`\`\`bash
YOUR_API_KEY=sk_test_xxx node fetch-data.js
\`\`\`

Expected output:

\`\`\`
Fetched user: Jane Developer
{ id: 'user_123', name: 'Jane Developer', email: 'jane@example.dev' }
\`\`\`

Language-Specific Conventions

LanguageCode BlockPackage InstallEnv Vars
JavaScript/Nodejavascript or jsnpm installprocess.env.VAR
TypeScripttypescript or tsnpm installprocess.env.VAR
Pythonpython or pypip installos.environ['VAR']
Gogogo getos.Getenv("VAR")
Rustrustcargo addstd::env::var("VAR")
Shellbash or shellN/A$VAR

Technical Accuracy Checklist

Run through before publishing:

CheckHow to Verify
Code runsCopy-paste every snippet and run it
Versions matchAre you using the current library version?
Links workClick every link
Commands workRun every CLI command
Screenshots currentDo UI screenshots match the current product?
No deprecated APIsCheck if any APIs used are deprecated
Security reviewNo hardcoded secrets, SQL injection, etc.
Peer reviewHave an engineer read it for accuracy

SEO for Developer Content

Developers use Google differently than consumers.

Developer Search Patterns

PatternExample Searches
Error messages"TypeError: Cannot read property 'map' of undefined"
How to"how to deploy next.js to vercel"
Comparison"prisma vs typeorm 2024"
Best practices"typescript project structure best practices"
Alternatives"alternatives to firebase"
With"react with typescript tutorial"

Technical SEO Checklist

ElementBest Practice
TitleInclude primary keyword, framework names, year if relevant
Meta description150 chars, include keyword, promise specific outcome
H1Match or closely match title
H2sInclude secondary keywords, make scannable
Code blocksUse proper syntax highlighting (helps featured snippets)
Internal linksLink to related docs, tutorials, API reference
External linksLink to official docs of tools mentioned
URL slugLowercase, hyphens, include keyword

Example Optimized Title

BadGood
"Using Our API""How to Authenticate with the YourProduct API (Node.js)"
"Database Guide""PostgreSQL Connection Pooling: Complete Guide with pgBouncer"
"Getting Started""Getting Started with YourProduct: Your First API Call in 5 Minutes"

Content Quality Signals

What separates great devrel content from mediocre:

Do This

  • Show, don't tell — Code over prose
  • Address the "why" — Not just how to do it, but when and why
  • Acknowledge tradeoffs — Nothing is perfect; developers respect honesty
  • Link to sources — Official docs, RFCs, related articles
  • Include dates — "Updated March 2024" or version numbers
  • Progressive disclosure — Start simple, add complexity
  • Real examples — Production scenarios, not just hello world

Don't Do This

  • Wall of text — Break up with code, headers, bullets
  • Marketing speak — "Best-in-class," "seamless," "revolutionary"
  • Assuming knowledge — Define acronyms, link to prerequisites
  • Outdated content — Nothing worse than a 2019 tutorial with deprecated APIs
  • Buried lede — Put the answer first, explanation second
  • No code — Developers came for code, not prose

Content Templates

Blog Post Template

markdown
# [Specific, keyword-rich title]

[2-3 sentence hook: problem + promise]

## The Problem

[1 paragraph explaining the pain point]

## The Solution

[Brief explanation of your approach]

### Step 1: [Action]

[Explanation]

\`\`\`language
// Code
\`\`\`

### Step 2: [Action]

[Explanation]

\`\`\`language
// Code
\`\`\`

### Step 3: [Action]

[Explanation]

\`\`\`language
// Code
\`\`\`

## Complete Example

\`\`\`language
// Full working code
\`\`\`

## Troubleshooting

### [Common Error 1]
[Solution]

### [Common Error 2]
[Solution]

## What's Next

- [Link to deeper dive]
- [Link to related tutorial]
- [CTA: Try it yourself]

Comparison Post Template

markdown
# [Tool A] vs [Tool B]: [Specific Use Case] ([Year])

[1 paragraph: Who this comparison is for and what you'll learn]

## Quick Comparison

| Feature | Tool A | Tool B |
|---------|--------|--------|
| [Feature 1] | | |
| [Feature 2] | | |
| [Feature 3] | | |

## When to Choose [Tool A]

- [Scenario 1]
- [Scenario 2]
- [Scenario 3]

## When to Choose [Tool B]

- [Scenario 1]
- [Scenario 2]
- [Scenario 3]

## Deep Dive: [Specific Aspect]

### Tool A Approach
[Explanation + code]

### Tool B Approach
[Explanation + code]

## Our Recommendation

[Specific guidance based on use case]

Measuring Content Success

Metrics to Track

MetricWhat It Tells You
Page viewsReach (but vanity without context)
Time on pageEngagement (are they reading?)
Scroll depthDid they read to the end?
Bounce rateDid they find what they needed?
Search rankingsSEO performance
BacklinksAuthority and reference value
Social sharesResonance (especially HN, Twitter, Reddit)
Conversion eventsSign-ups, installs, docs clicks

Content → Conversion Path

Track the journey:

  1. Search/social → Blog post
  2. Blog post → Docs / quickstart
  3. Docs → Sign up / install
  4. Sign up → Activation (first success)

Tools

ToolUse Case
OctolensMonitor where your content gets shared (HN, Reddit, Twitter). Track competitor content performance. Find content ideas from developer conversations.
Grammarly / HemingwayReadability and grammar checking
Carbon / Ray.soBeautiful code screenshots
ExcalidrawTechnical diagrams
LoomQuick video walkthroughs
Ahrefs / SEMrushKeyword research and SEO tracking
Google Search ConsoleTrack search performance

Related Skills

  • developer-audience-context — Foundation for knowing your readers
  • technical-tutorials — Deep dive into step-by-step content
  • developer-newsletter — Distributing content via email
  • developer-seo — Technical SEO optimization
  • hacker-news-strategy — Sharing content on HN effectively

Frequently asked questions

What does the Devrel Content AI skill do?

When the user wants to create technical content for developers including blog posts, tutorials, and documentation. Trigger phrases include "write a blog post," "technical article," "developer content," "tutorial," "devrel content," "dev blog," "technical writing," or "content for developers."

Why use Devrel Content on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jonathimer/devmarketing-skills/tree/main/skills/devrel-content. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Devrel Content?

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 Devrel Content?

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

Is the Devrel Content AI skill free?

Yes. It is published on GitHub by jonathimer 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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