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Output

Community
Darcos-Loft
output

Execution discipline for shipped UI. Use to make sure generated frontend work is actually complete, with no placeholders, no skipped sections, no half-finished states, every interactive state handled, and the brief honestly met.

Overview

PublisherDarcos-Loft
Repositoryfluid
Skill nameoutput
Stars
3
Forks
0
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 Darcos-Loft on GitHub. Read the source before you install it.

Installation

Install the Output 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/Darcos-Loft/fluid/tree/main/output
  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/Darcos-Loft/fluid.git /tmp/fluid
mkdir -p .claude/skills
cp -r /tmp/fluid/output .claude/skills/output
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Output 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 Output 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 Output 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.

Output

The difference between a demo and a shippable build is finish. This is a short checklist the agent runs before calling UI work done.

No placeholders

  • No "lorem ipsum", no "TODO", no "[image here]", no empty href="#". Use real or plausible content.
  • No "rest of the component" comments, no skipped sections. Write the whole thing.

Every state

  • Loading, empty, error, and success states for anything that fetches or submits.
  • Hover, focus-visible, active, and disabled for every interactive element.
  • Responsive: the layout holds at 375px, 768px, and 1280px. No horizontal scroll on mobile.

Honest completeness

  • If the brief lists five sections, build five, fully. Do not stub the last two.
  • Every link goes somewhere. Every button does something or is clearly disabled.
  • Accessibility: alt text, labels, visible keyboard focus, body contrast 4.5:1.

Pre-flight

Before saying it is done, re-read the brief and confirm each requirement is actually met, not approximated. Run the fluid detector. If anything is stubbed, finish it first.

Pairs with: every other skill. This is the last gate before shipping.

Frequently asked questions

What does the Output AI skill do?

Execution discipline for shipped UI. Use to make sure generated frontend work is actually complete, with no placeholders, no skipped sections, no half-finished states, every interactive state handled, and the brief honestly met.

Why use Output on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Darcos-Loft/fluid/tree/main/output. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Output?

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 Output?

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

Is the Output AI skill free?

Yes. It is published on GitHub by Darcos-Loft 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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