Docs As Marketing logo

Docs As Marketing

Community
jonathimer
docs-as-marketing

Transform documentation into a powerful marketing channel that attracts, converts, and retains developers. This skill covers creating documentation that ranks in search, converts visitors into users, and accelerates adoption through exceptional information architecture and developer-focused writing. Trigger phrases: "documentation strategy", "docs that convert", "quickstart optimization", "API reference best practices", "developer documentation", "docs SEO", "information architecture for docs", "technical writing for marketing", "docs-led growth"

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill namedocs-as-marketing
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 Docs As Marketing 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/docs-as-marketing .claude/skills/docs-as-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs As Marketing 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 Docs As Marketing 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 Docs As Marketing 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.

Documentation as Marketing

Documentation is often a developer's first meaningful interaction with your product. Great docs don't just explain—they market. They reduce friction, build trust, and turn curious visitors into active users who recommend your product to others.

Overview

Developer documentation serves multiple marketing functions:

  • Acquisition: Docs rank in search and attract developers actively seeking solutions
  • Activation: Well-structured quickstarts reduce time-to-value
  • Retention: Comprehensive references keep developers building
  • Referral: Developers share docs they love, not marketing pages

This skill covers the intersection of technical writing and developer marketing—creating documentation that serves both education and conversion goals.

Before You Start

Review the developer-audience-context skill to understand your target developers:

  • What problems are they searching for solutions to?
  • What's their technical sophistication level?
  • What frameworks and languages do they use?
  • Where do they currently look for answers?

Your documentation strategy should directly address these audience insights.

Information Architecture That Converts

The Four Types of Documentation

Structure your docs around the four types developers need:

TypePurposeMarketing Function
TutorialsLearning-oriented, step-by-stepBuilds confidence, shows product value
How-to GuidesTask-oriented, problem-solvingDemonstrates capability breadth
ReferenceInformation-oriented, accurateProves product depth and reliability
ExplanationUnderstanding-oriented, conceptualEstablishes thought leadership

Navigation That Reduces Bounce

Good Navigation Structure:

Getting Started
├── Quickstart (< 5 min)
├── Installation
└── Core Concepts

Guides
├── Authentication
├── [Most Common Use Case]
├── [Second Most Common Use Case]
└── ...

API Reference
├── Overview
├── Authentication
├── Endpoints (alphabetical or logical grouping)
└── SDKs

Resources
├── Examples
├── Changelog
└── Support

Bad Navigation Structure:

Documentation
├── Chapter 1: Introduction
├── Chapter 2: Getting Started
├── Chapter 3: Advanced Topics
├── Appendix A
└── API (link to separate site)

Information Hierarchy

Every documentation page should follow this hierarchy:

  1. What is this? (1 sentence)
  2. Why would I use it? (1-2 sentences)
  3. How do I use it? (the bulk of the page)
  4. What's next? (clear next steps)

Quickstart Optimization

Your quickstart is your most important conversion page. Optimize ruthlessly.

The 5-Minute Rule

Developers should reach a meaningful success moment within 5 minutes. If your quickstart takes longer, you're losing developers.

Measure and optimize:

  • Time from page load to first successful API call
  • Drop-off points in the quickstart flow
  • Completion rate

Quickstart Structure

markdown
# Quickstart

Get your first [meaningful result] in under 5 minutes.

## Prerequisites
- [Specific version] of [language/tool]
- [Account/API key] (link to signup)

## Step 1: Install
[Single command, copy-paste ready]

## Step 2: Configure
[Minimal configuration, explain what each part does]

## Step 3: Run
[The payoff—show them it works]

## What You Built
[Explain what just happened and why it matters]

## Next Steps
- [Immediate next tutorial]
- [Reference docs for what they just used]
- [Community/support link]

Good vs. Bad Quickstarts

Good Quickstart:

markdown
# Send Your First Message

Send an SMS in under 5 minutes.

## Prerequisites
- Node.js 16 or higher
- A Twilio account ([sign up free](link))

## Install the SDK
```bash
npm install twilio

Send a Message

Create send-sms.js:

javascript
const twilio = require('twilio');
const client = twilio('YOUR_ACCOUNT_SID', 'YOUR_AUTH_TOKEN');

client.messages.create({
  body: 'Hello from my app!',
  to: '+15551234567',
  from: '+15559876543'
}).then(message => console.log(`Sent: ${message.sid}`));

Run it:

bash
node send-sms.js

You should see: Sent: SM1234...

What Just Happened

You authenticated with your API credentials and sent an SMS...


**Bad Quickstart:**
```markdown
# Getting Started

Welcome to our platform! Before we begin, let's discuss
the architecture of our messaging system...

[500 words of background]

## Installation

First, ensure you have the correct version of Node.js.
You can check this by running...

[200 words on version checking]

You'll also need to configure your environment variables.
Create a .env file and add the following variables...

[Complex configuration with 10+ variables]

API Reference Best Practices

Every Endpoint Needs

  1. One-sentence description of what it does
  2. Authentication requirements clearly stated
  3. Request format with all parameters documented
  4. Response format with example
  5. Error responses with common causes
  6. Copy-paste example that actually works

Copy-Paste Code That Works

Critical: Example code must work when copied. Test it.

Good Example:

markdown
## Create a User

Creates a new user in your organization.

### Request
```bash
curl -X POST https://api.example.com/v1/users \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "email": "developer@example.com",
    "name": "Jane Developer"
  }'

Response

json
{
  "id": "usr_123abc",
  "email": "developer@example.com",
  "name": "Jane Developer",
  "created_at": "2024-01-15T10:30:00Z"
}

Errors

CodeMeaning
400Invalid email format
409Email already exists
401Invalid or missing API key

**Bad Example:**
```markdown
## POST /users

Parameters:
- email (string)
- name (string)
- org_id (string, optional)
- role (enum, optional)
- metadata (object, optional)
- ...

Returns a user object.

Language-Specific Examples

Provide examples in languages your developers actually use:

  • cURL (universal, always include)
  • JavaScript/Node.js
  • Python
  • Go
  • Ruby
  • PHP
  • Your most-used SDK languages

Search Optimization for Docs

Docs That Rank

Developer documentation can capture high-intent search traffic.

Target Query Types:

  1. Problem queries: "how to send sms from node.js"
  2. Comparison queries: "[your product] vs [competitor]"
  3. Integration queries: "integrate [your product] with [popular tool]"
  4. Error queries: "[specific error message]"

SEO Fundamentals for Docs

Page Titles:

Good: "Send SMS with Node.js | Twilio Docs"
Bad: "Documentation - Messaging - SMS - Send"

Meta Descriptions:

Good: "Learn how to send SMS messages using Node.js and the
Twilio API. Includes code examples and troubleshooting tips."

Bad: "This page contains documentation for the SMS sending
functionality of our messaging product."

URL Structure:

Good: /docs/sms/send-messages/nodejs
Bad: /docs/section/3/page/27?lang=nodejs

Internal Linking

Create a documentation web, not documentation silos:

  • Link related concepts
  • Link from reference to tutorials
  • Link from tutorials to reference
  • Cross-link between SDK docs

Measuring Documentation Effectiveness

Key Metrics

MetricWhat It Tells You
Time on quickstartEngagement (but also confusion)
Quickstart completion rateConversion effectiveness
Search → signup rateDocs as acquisition channel
Support ticket deflectionDocs comprehensiveness
Page ratings/feedbackContent quality
Internal search queriesContent gaps

Feedback Loops

Implement:

  • "Was this helpful?" on every page
  • Internal search analytics (what are people searching for?)
  • Support ticket analysis (what questions do docs fail to answer?)
  • Developer interviews (what's confusing? What's missing?)

Common Documentation Anti-Patterns

The "Wall of Text"

Problem: Pages with no code, no structure, no visual breaks Fix: Lead with code, use headers liberally, break up paragraphs

The "Assumed Knowledge" Trap

Problem: Assuming developers know your terminology Fix: Define terms on first use, link to glossary

The "Everything Page"

Problem: One page trying to cover all use cases Fix: Separate pages for distinct tasks, link between them

The "Outdated Quickstart"

Problem: Quickstart code that no longer works Fix: Automated testing of documentation code samples

The "Hidden Prerequisites"

Problem: Discovering requirements mid-tutorial Fix: All prerequisites at the top, with version numbers

Tools

Documentation Platforms

  • GitBook: Good for smaller teams, nice defaults
  • ReadMe: Interactive API docs, metrics built-in
  • Mintlify: Modern, fast, good DX
  • Docusaurus: Flexible, self-hosted, React-based
  • Notion: Quick to set up, limited customization

Code Sample Testing

  • Doctest: Python code in docs
  • mdx-js: JSX in markdown
  • Custom CI: Run code samples as tests

Search and Analytics

  • Algolia DocSearch: Free for open source, powerful
  • Google Analytics: Basic traffic metrics
  • FullStory/Hotjar: Session recording, heatmaps
  • Internal search analytics: What are devs searching for?

Related Skills

  • api-onboarding: Optimize the complete first API call experience
  • sdk-dx: Create SDKs that make your docs simpler
  • developer-sandbox: Interactive environments that complement docs
  • technical-content-strategy: Broader content strategy including docs
  • developer-audience-context: Understanding who you're writing for

Frequently asked questions

What does the Docs As Marketing AI skill do?

Transform documentation into a powerful marketing channel that attracts, converts, and retains developers. This skill covers creating documentation that ranks in search, converts visitors into users, and accelerates adoption through exceptional information architecture and developer-focused writing. Trigger phrases: "documentation strategy", "docs that convert", "quickstart optimization", "API reference best practices", "developer documentation", "docs SEO", "information architecture for docs", "technical writing for marketing", "docs-led growth"

Why use Docs As Marketing on TypingMind?

Because you install it once and use it with any model. Docs As Marketing 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 Docs As Marketing in TypingMind?

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

Which AI models can use Docs As Marketing?

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 Docs As Marketing?

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

Is the Docs As Marketing 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.

View all

Set up your own AI workspace now

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