Open Design Docs logo

Open Design Docs

Organization
feimacode
open-design-docs

Turn a folder of Markdown documents (ADRs, RFCs, runbooks, notes) into designed HTML pages, one per file, all in one style, and keep them in step when the Markdown changes — use whenever the user wants several Markdown files (a docs folder, ADRs, RFCs, runbooks, meeting notes) turned into HTML pages, or wants HTML versions of existing docs refreshed after edits

Overview

Publisherfeimacode
Repositoryopen-design-agent-kit
Skill nameopen-design-docs
Stars
4
Forks
1
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 feimacode on GitHub. Read the source before you install it.

Installation

Install the Open Design Docs 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/feimacode/open-design-agent-kit/tree/main/.agents/skills/open-design-docs
  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/feimacode/open-design-agent-kit.git /tmp/open-design-agent-kit
mkdir -p .claude/skills
cp -r /tmp/open-design-agent-kit/.agents/skills/open-design-docs .claude/skills/open-design-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Design Docs 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 Open Design Docs 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 Open Design Docs 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.

Turn existing Markdown documents into designed HTML pages with Open Design, one page per file.

Request: the rest of the user's message (if there is none, ask the user: "Which Markdown files should become pages, and in what style?")

How to talk to the user. Many people using Open Design don't write code, so:

  • Use the user's own words. If they say "artifact", "design tokens" or give a file path, use those terms back; otherwise use the plain words below.
  • Keep the machinery out of replies: no tool names, no ids like od:prototype:poster-hero, no internal files (.artifact.json, .comments.json, config.json), and not the words "register", "manifest", "sidecar", "entry" or "surface", unless the user used them first.
  • Explain a print term the first time it comes up, in one short clause, and not again.
  • Say where a file is the way the user would find it ("in your Open Design folder, under seed-swap-flyer"). Give a raw path only where the user can click it (Claude Code, Claude Desktop's Code tab, VS Code) or asks for it.
  • End each reply that finishes a step with one line on what they can do next, with at most two options ("Want it in Instagram sizes too, or is it ready to print?").
Instead ofSay
artifact, entry, registeredyour design, saved
design system, active design systemyour style (the first time: "a saved style: colours, fonts and spacing")
surface, skill, template, recipekind of design, starting layout, or nothing
workspace, output directoryyour folder, your Open Design folder
bleedprint edge ("a few millimetres extra that the printer trims off")
trim sizefinal size
preflight findings, errors"I checked it and fixed…", "one thing to look at:"
exportsave as PDF, save as an image
inline preview, MCP Appthe preview above

1. Find the files

Resolve the folder or glob in the request with your own file tools (for example docs/adr/*.md). List what you found.

  • More than 20 files: tell the user how many there are and ask whether to do all of them or a subset. Don't start until they answer.
  • No files: say so and stop.

2. Pick one template for the set

All pages in a set share one template, so they read as one collection. Choose by what the files are, or use the style the user named:

FilesSkill
Architecture decisionsod:prototype:adr
Proposals, design docsod:prototype:rfc
Incident write-upsod:prototype:postmortem
Runbooksod:prototype:eng-runbook
Release notes or changelogsod:prototype:changelog-page
Long-form notes, essays, anything elseod:prototype:doc-kami-parchment

Derive a collectionId from the folder name (for example docs-adr) and a readable collectionName.

3. On a re-run, only redo what changed

If pages from an earlier run exist (look for artifacts in that collection, or call get_open_design_artifact on each), compare: a page whose staleSources lists its Markdown file is out of date and gets regenerated; a page that isn't stale is skipped; a file with no page yet gets one. Tell the user what you'll regenerate and what you'll skip.

4. Build each page

For each file, in order:

  1. Call read_open_design_source with the file. Use only what it returns: never add facts the Markdown doesn't have.
  2. Call prepare_open_design_brief with the chosen skill, a brief naming the file, collectionId, collectionName, and screenRole set to the file's name.
  3. Write the page, keeping the document's own headings, structure and status (for ADRs and RFCs, its status goes in the data-od-status banner). Link to sibling pages in the set where the Markdown links to the sibling .md file.
  4. Call register_open_design_artifact with the same collection values and sources: ["<the .md path>"], so a later run can tell when the Markdown changed.

Check the first page with check_open_design_artifact and fix its errors before doing the rest, so mistakes aren't copied into every page. Check the others at the end.

5. Report

List each page with its source file, and anything skipped or still flagged. In VS Code, mention the Collections view, where the whole set opens with Prev/Next.

Frequently asked questions

What does the Open Design Docs AI skill do?

Turn a folder of Markdown documents (ADRs, RFCs, runbooks, notes) into designed HTML pages, one per file, all in one style, and keep them in step when the Markdown changes — use whenever the user wants several Markdown files (a docs folder, ADRs, RFCs, runbooks, meeting notes) turned into HTML pages, or wants HTML versions of existing docs refreshed after edits

Why use Open Design Docs on TypingMind?

Because you install it once and use it with any model. Open Design Docs 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 Open Design Docs in TypingMind?

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

Which AI models can use Open Design Docs?

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 Open Design Docs?

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

Is the Open Design Docs AI skill free?

Yes. It is published on GitHub by feimacode 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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