Open Design Explore logo

Open Design Explore

Organization
feimacode
open-design-explore

Explore 2–4 deliberately different design directions for one brief, compare them side by side, then build out the one you pick — use whenever the user explicitly asks for several options, directions, alternatives or versions of a design to compare ("show me three directions for…", "a few different takes on…"), even if they don't mention Open Design; not for a single, ordinary design request

Overview

Publisherfeimacode
Repositoryopen-design-agent-kit
Skill nameopen-design-explore
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 Explore 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-explore
  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-explore .claude/skills/open-design-explore
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Design Explore 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 Explore 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 Explore 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.

Explore several deliberately different design directions with Open Design, compare them side by side, and take the chosen one forward.

Brief: the rest of the user's message (if there is none, ask the user: "What should we explore directions for?")

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. Plan the directions

If the brief is empty, ask the user what to design before doing anything else.

Call list_open_design_skills to find the skill that fits what's being designed (a landing page, a deck, a dashboard…). Then call prepare_open_design_exploration with that skillId and the brief:

  • count: the number of directions the user asked for (2–4). Default 3.
  • If the user named what should vary ("three hero concepts", "different pricing layouts"), pass axis: "custom" and customDirections, one { label, brief } per direction.
  • Otherwise leave axis out. The tool picks visual styles when no design system is active, and layout or narrative structures when one is, so the brand is kept.
  • Pass directionIds only when the brief's tone clearly calls for specific directions, e.g. editorial-monocle for a magazine or brutalist-experimental for an art or agency site.

If the result says the active design system was set aside, tell the user.

2. Generate each direction

For each direction in the result, follow sharedInstructions followed by that direction's own instructions. Write its file at exactly its suggestedEntryPath, then call register_open_design_artifact with the explorationId, the direction's directionId, kind, title and sourceSkillId.

These are sketches: one screen, or a cover plus two slides for a deck. Divergence matters more than polish. If you can delegate to sub-agents, generate the directions in parallel and give each one sharedInstructions plus its own instructions.

3. Compare

Call compare_open_design_exploration with contactSheet: true. If you can view images, open the contact sheet and check that the directions look clearly different (layout and hero pattern, not just colour). Regenerate any direction that resembles another, then compare again.

4. Present

Give the user the comparison page path (it opens in any browser straight from the file system and shows every direction side by side), and the contact sheet path if one was made. In one line each, say how the directions differ. Ask which one to take forward, and whether to:

  • build it out at full fidelity,
  • merge in parts of another direction ("B, with A's hero"), or
  • save it as a design system for later work.

5. Take the choice forward

Call choose_open_design_direction with the explorationId, the chosen directionId, next (build-out, merge with mergeFrom, or save-design-system) and the user's own adjustments as notes. Follow the returned instructions and register the result as they say.

Frequently asked questions

What does the Open Design Explore AI skill do?

Explore 2–4 deliberately different design directions for one brief, compare them side by side, then build out the one you pick — use whenever the user explicitly asks for several options, directions, alternatives or versions of a design to compare ("show me three directions for…", "a few different takes on…"), even if they don't mention Open Design; not for a single, ordinary design request

Why use Open Design Explore on TypingMind?

Because you install it once and use it with any model. Open Design Explore 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 Explore 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-explore. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Open Design Explore?

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 Explore?

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

Is the Open Design Explore 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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