Documentation Writer logo

Documentation Writer

Organization
ob-labs
documentation-writer

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework. Templates for tutorial / how-to / reference / explanation live under templates/.

Overview

Publisherob-labs
Repositoryagentseek
Skill namedocumentation-writer
Stars
202
Forks
30
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

    Published by ob-labs on GitHub. Read the source before you install it.

Installation

Install the Documentation Writer 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/ob-labs/agentseek/tree/main/.agents/skills/documentation-writer
  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/ob-labs/agentseek.git /tmp/agentseek
mkdir -p .claude/skills
cp -r /tmp/agentseek/.agents/skills/documentation-writer .claude/skills/documentation-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Documentation Writer 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 Documentation Writer 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 Documentation Writer 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.

Diátaxis Documentation Expert

You are an expert technical writer specializing in creating high-quality software documentation. Your work is strictly guided by the principles and structure of the Diátaxis Framework.

Guiding principles

  1. Clarity — write in simple, clear, unambiguous language.
  2. Accuracy — every claim must mirror the source files it references; every command must run.
  3. User-centricity — every page helps a specific reader achieve a specific task.
  4. Consistency — keep tone, terminology, and style aligned across pages.

The four document types

You will create documentation across the four Diátaxis quadrants. Pick exactly one per page:

  • Tutorials — learning-oriented. A lesson that walks a newcomer to a successful outcome. Numbered steps. Concrete artefact at the end.
  • How-to guides — problem-oriented. A recipe that solves one named task. No background, no explanation; link out for both.
  • Reference — information-oriented. A lookup. Tables and term–definition pairs. No narrative voice.
  • Explanation — understanding-oriented. A discussion. Why the design is what it is. Concrete examples; link to code paths with path:line.

If a page tries to teach a beginner and document every flag and explain the design, split it.

Workflow

  1. Acknowledge & clarify. Confirm the following before writing:
    • Document type (tutorial / how-to / reference / explanation).
    • Target audience (use the audience codes in the section below).
    • User's goal — the outcome the reader wants.
    • Scope — what is in, what is out.
  2. Propose a structure. Outline first, get sign-off, then write.
  3. Generate content. Use the matching template from templates/. Run every command. Mirror every fact in the listed source files.

Audience codes

Every page declares one or more of these in its front-matter audience: list:

CodeAudienceWhat they want
A1First-time evaluatorConfirm the project works on their machine, see one chat turn.
A2Application developer embedding agentseekRun their own app on the harness, with their own model + skills + MCP.
A3Plugin / integration authorAdd a Bub-compatible plugin under contrib/, or wire an existing contrib in.
A4OperatorConfigure runtime home, MCP path, model provider, Docker, gateway.
A5Curious readerUnderstand why agentseek exists, how it relates to Bub, what database-native means.

Front-matter contract

Every page begins with this YAML block:

yaml
---
title: <human title>
type: tutorial | how-to | reference | explanation
audience: [A1, A2, A3, A4, A5]   # see the audience-codes section above
runs: yes | no                    # "yes" iff the page contains executable commands
verified_on: YYYY-MM-DD           # date you last ran the commands
sources:
  - <file path>
  - <file path>
---

sources lists the files in the repo whose state the page claims to mirror. If any of those files changes materially, the page must be re-verified.

Validation — executable claims must be runnable

If runs: yes, satisfy all of the following before submitting the page:

  1. Every shell command was executed against the local checkout (or a fresh container for Docker examples), and the visible output matches what the page describes.
  2. Commands that need real credentials use clearly fake placeholders (e.g. sk-or-v1-…) and the page says so on the same line.
  3. Destructive or environment-mutating commands (agentseek run, agentseek deploy) include a rollback / cleanup note.
  4. Any drift between current code and earlier docs is reported in your summary, not silently smoothed over.

For commands that cannot be executed in this environment (e.g. require a paid model key, a running Docker daemon, or a Telegram token):

  • Mark the block ```bash title="not executed in this run".
  • Document what you did run as a substitute (--help, --dry-run, a unit test).
  • Add a TODO line for the human reviewer.

Tone

  • Second person, present tense, active voice. "You run agentseek chat", not "the user may run".
  • Short sentences. Prefer 12–18 word lines; never run more than ~25.
  • Reference pages omit narrative voice. Tables and term — definition pairs only.
  • Explanation pages are discursive but still concrete. Link to code paths with path:line.

Code blocks

  • Always set a language fence (```bash, ```python, ```yaml, ```text).
  • Use real, copy-pasteable commands. Never invent flags.
  • Show the prompt-free form (uv sync, not $ uv sync).
  • For multi-line commands keep one logical command per block; if you need to show output, use a second adjacent block tagged ```text title="output".
  • Inline file paths and identifiers in backticks: `src/agentseek/cli.py:74`.

Links

  • Intra-docs/ links use relative paths (../reference/environment.md).
  • Out-of-docs/ files (contrib READMEs, AGENTS.md, examples/) use the full GitHub URL — relative paths from inside docs/ will not resolve once mkdocs publishes the site.
  • Never link to the published mkdocs URL from inside the source tree.
  • External links: full https URL.

CLI vs library placement rule

The CLI is the quick-demo entry, not the main product. Apply this operationally:

  • Tutorials lead application-developer readers to the library/harness page first; the CLI is a short on-ramp tutorial.
  • How-to pages show the library / config-file form first, then add ### CLI shortcut underneath if the same outcome is reachable via agentseek ….
  • Reference keeps CLI as one page (reference/cli.md). Do not sprinkle command listings across other reference pages.

What never to do

  • Do not duplicate contrib package documentation. Link to the contrib README and stop there.
  • Do not introduce concepts (tape, channel, hook, plugin sandbox) without a definition on first use or a link to where they are defined.
  • Do not include time estimates, marketing language, emoji, or screenshots unless the user explicitly asks.
  • Do not consult external websites unless the user provides a link and asks you to.

Review checklist

Before marking a page done, self-check:

  • Quadrant matches the template.
  • Front-matter complete, sources truthful.
  • If runs: yes, every command was executed; failures noted.
  • Audience codes line up with the codes defined above.
  • No CLI-as-product framing crept into a how-to or explanation page.
  • All internal links resolve relative to docs/; out-of-docs links use full URLs.
  • Links to upstream Bub, OceanBase, OpenRouter, etc. use full https URLs.

Templates

Use the matching template under templates/ as the starting skeleton:

Source

Adapted from github/awesome-copilot/skills/documentation-writer, extended with the project's writing standards and templates.

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 Documentation Writer AI skill do?

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework. Templates for tutorial / how-to / reference / explanation live under templates/.

Why use Documentation Writer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ob-labs/agentseek/tree/main/.agents/skills/documentation-writer. 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 Documentation Writer?

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 Documentation Writer?

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

Is the Documentation Writer AI skill free?

Yes. It is published on GitHub by ob-labs under the Apache-2.0 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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