Developer Documentation logo

Developer Documentation

Organization
NateBJones-Projects
developer-documentation

Create, restructure, or maintain accurate developer documentation for software, tools, automations, packages, APIs, SDKs, CLIs, installations, migrations, operations, and troubleshooting. Use when the user asks for a README, overview, quickstart, tutorial, how-to guide, concept page, reference, API or CLI documentation, installation guide, runbook, migration guide, release notes, troubleshooting page, or a complete documentation set.

Overview

PublisherNateBJones-Projects
Repositorydeveloper-documentation-skill
Skill namedeveloper-documentation
Stars
82
Forks
9
Bundled files
8
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NateBJones-Projects on GitHub. Read the source before you install it.

Installation

Install the Developer Documentation 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/NateBJones-Projects/developer-documentation-skill/tree/main
  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/NateBJones-Projects/developer-documentation-skill.git \
  .claude/skills/developer-documentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Developer Documentation 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 Developer Documentation 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 Developer Documentation 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.

Developer documentation

Create documentation that helps the intended reader understand or use the real system without needing its author beside them.

Establish the documentation contract

Before writing:

  1. Read the user's request and the instructions in the target project.
  2. Inspect the current code, tests, schemas, configuration, command help, interfaces, and existing documentation that define the behavior.
  3. Identify the reader, the job they need to complete, the documentation location, and the required output format.
  4. Separate current behavior from proposed behavior. Do not document a proposal as an implemented feature.
  5. Preserve unrelated documentation and user changes.

Use current product behavior as the source for product claims. Use official primary documentation for a dependency, platform, or standard that can change. If a material claim cannot be verified, label the limitation instead of filling the gap.

Choose the right document type

Create only the pages the reader needs. Do not turn every request into a full documentation site.

Use these common forms:

  • An overview explains what the system is, who it is for, and where to start.
  • A quickstart gets a prepared reader to the first useful result through the shortest supported path.
  • A tutorial teaches by guiding the reader through a complete learning sequence.
  • A how-to guide helps an informed reader complete one goal.
  • A concept page explains how or why the system works.
  • A reference page states the exact interface, fields, commands, defaults, constraints, and errors.
  • A troubleshooting page starts with observable symptoms and gives verified ways to diagnose and resolve them.
  • An operations runbook gives an operator the prerequisites, safe procedure, checks, rollback, and escalation path for a recurring operation.
  • A migration guide explains the starting state, destination state, compatibility limits, ordered changes, verification, and rollback.
  • Release notes record user-visible changes, dates or versions, compatibility effects, and required action.

Read documentation types when the request needs several pages, the correct form is unclear, or the information architecture needs to change.

Build the documentation set

For a multi-page set:

  1. Choose one entry page.
  2. Give each page one primary reader job.
  3. Put the shortest useful path near the entry point.
  4. Separate learning, task, explanation, and exact reference content when combining them makes the page hard to scan.
  5. Link related pages with descriptive text.
  6. Update or remove stale navigation when pages move.

Do not copy the same procedure across several pages. Keep one maintained procedure and link to it from the other pages.

Write procedures

State prerequisites and permission requirements before the steps. Use numbered steps when order matters and bullets when it does not.

For each step:

  1. Start with the action.
  2. State the tool, screen, directory, or environment before the action when that context matters.
  3. Put one main action in each step.
  4. Explain placeholders immediately after the command or example that uses them.
  5. State the expected result when it helps the reader continue or verify success.
  6. Mark an optional step with Optional: at the start.

Prefer one supported path. Add alternatives only when different readers genuinely need them.

Write reference documentation

Organize reference content around the public interface, not the source file layout. Derive exact names, types, required fields, defaults, return values, errors, and compatibility notes from the implementation or an authoritative schema.

For API, SDK, and CLI reference material:

  • distinguish required, optional, and mutually exclusive inputs;
  • show valid values and defaults;
  • explain side effects and permission requirements;
  • include representative success and failure output when it improves use;
  • link to the maintained source of exhaustive generated reference when one exists;
  • do not expose internal details that are not part of the supported contract.

Create usable examples

Make examples minimal, runnable, and safe to copy. Use placeholders for secrets and user-specific values. Introduce each code block with the purpose of the code. Add a language identifier to fenced code blocks when the language is known.

Run commands and examples in a safe environment when possible. If an example cannot be run, say that it is illustrative. Never state that an installation, deployment, migration, or recovery procedure works unless the relevant boundary was tested.

Apply the writing standard

Project-specific terminology and style take priority. Otherwise, follow the developer documentation writing standard.

Use sentence-case headings, direct procedures, active voice, second person, American English, and one consistent term for each thing. Use code font for filenames, commands, flags, fields, methods, and text the reader must enter. Remove promotional claims, filler, fake certainty, and unexplained jargon.

Verify the result

Run the project's documentation build, linter, link checker, or test suite when one exists. Test documented commands and examples in proportion to the risk. For a rendered documentation site, inspect the rendered pages and navigation.

For Markdown without an existing checker, run the bundled validator:

bash
python3 "/path/to/developer-documentation/scripts/validate_docs.py" PATH [PATH ...]

The validator checks UTF-8 decoding, heading structure, fenced code blocks, local links, and image alternative text. Add --check-fragments when the documentation uses GitHub-style heading anchors.

Add --allow-empty-alt only when each image with empty alternative text is confirmed to be decorative.

The validator cannot prove technical accuracy, clarity, sentence case, or whether an example works. Check those against the real system.

Finish the work

Deliver the finished documentation at the requested path. Report what changed, how the documentation was checked, and any specific behavior that remains unverified. Do not report a draft as published or an untested procedure as working.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Developer Documentation AI skill do?

Create, restructure, or maintain accurate developer documentation for software, tools, automations, packages, APIs, SDKs, CLIs, installations, migrations, operations, and troubleshooting. Use when the user asks for a README, overview, quickstart, tutorial, how-to guide, concept page, reference, API or CLI documentation, installation guide, runbook, migration guide, release notes, troubleshooting page, or a complete documentation set.

Why use Developer Documentation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NateBJones-Projects/developer-documentation-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Developer Documentation?

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 Developer Documentation?

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

Is the Developer Documentation AI skill free?

It is published on GitHub by NateBJones-Projects. Check the repository for licensing terms. 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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