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Comfy

Organization
Comfy-Org
comfy

Generate images, video, audio, and 3D with Comfy Cloud — search hundreds of models and workflow templates, run custom ComfyUI workflows, and manage generation jobs through the hosted Comfy Cloud MCP server. Cloud-only — connects to the hosted service, not a local ComfyUI install. Use for any "generate/edit an image", "make a video", "text to 3D", or ComfyUI workflow task.

Overview

PublisherComfy-Org
Repositorycomfy-skills
Skill namecomfy
Stars
233
Forks
15
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 Comfy-Org on GitHub. Read the source before you install it.

Installation

Install the Comfy 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/Comfy-Org/comfy-skills/tree/main/openclaw/comfy
  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/Comfy-Org/comfy-skills.git /tmp/comfy-skills
mkdir -p .claude/skills
cp -r /tmp/comfy-skills/openclaw/comfy .claude/skills/comfy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Comfy 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 Comfy 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 Comfy 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.

Comfy Cloud

Comfy Cloud runs ComfyUI in the cloud and exposes it to agents as an MCP server: image/video/audio/3D generation via partner models (Ideogram, Flux, Kling, Veo, Seedance, and more) and open-source pipelines, plus full ComfyUI workflow authoring — search templates, override inputs, submit custom graphs, and fetch outputs as signed URLs.

Scope: this skill connects to the hosted Comfy Cloud MCP server and requires a Comfy account — it does not drive a local ComfyUI install. A local-ComfyUI MCP is on the roadmap and will ship as a separate skill; until then, for local instances see comfy-cli.

Connect

The server supports two auth methods: OAuth (browser sign-in, nothing to manage — recommended) and API keys (for headless or CI setups).

Option A — OAuth (recommended)

bash
openclaw mcp set comfy '{"url":"https://cloud.comfy.org/mcp","transport":"streamable-http","auth":"oauth"}'
openclaw mcp login comfy
openclaw gateway restart

openclaw mcp login prints an authorization URL — open it, sign in to your Comfy account, and finish the flow as the CLI directs (it may ask you to rerun with --code <code>). Verify with openclaw mcp status --verbose. Note that OpenClaw ignores static headers on a server entry once auth: "oauth" is set, so don't combine the two.

Option B — API key (headless / CI)

  1. Get an API key — sign in at cloud.comfy.org, then create a key under Settings → API Keys. Keys start with comfyui-.

  2. Export it (put this in your shell profile or OpenClaw's env):

    bash
    export COMFY_API_KEY="comfyui-..."
  3. Register the MCP server with OpenClaw:

    bash
    openclaw mcp set comfy '{"url":"https://cloud.comfy.org/mcp","transport":"streamable-http","headers":{"Authorization":"Bearer ${COMFY_API_KEY}"}}'
    openclaw gateway restart

    The server also accepts the key as an X-API-Key: ${COMFY_API_KEY} header, but prefer the Authorization: Bearer form above — standard headers survive every client's proxy layer, and some OpenClaw builds have dropped custom headers on streamable-http transports (see openclaw#65590). If you get a 401 with a key you know is valid, you are probably hitting that: switch to the Bearer form, route through mcporter, or just use OAuth (Option A).

Either way: browsing/search tools work with any account; generation consumes Comfy Cloud credits and needs a subscription or credit balance.

Which tools to use

Images and video from a named model (Ideogram, Flux, Gemini, Kling, Veo, Seedance, …): before calling partner_generate, check whether the named family also has an OSS route — some families (MiniMax H3 is a current example, as of 2026-08) ship BOTH a paid partner node and open-source weights under the identical display title. Run search_templates for the family name alongside search_nodes; if both exist, tell the user the OSS option exists (it has no partner/API fee, but running it still spends ordinary Comfy Cloud compute credits — it isn't free on Comfy Cloud, only free of the partner surcharge) and ask which they want. If only the partner route exists, or the user picks paid, call partner_generate — it runs the provider through Comfy Cloud and saves the result to your asset library. Do not hand-build a workflow for plain text-to-image/video when a partner model is named — unless the user asked to build or create a workflow: partner_generate returns only the output, never a workflow, so build the graph around the partner node instead.

Anything workflow-shaped (open-source models, LoRA/ControlNet, multi-step pipelines): start from a template — search_templates → get_template_schema → run_template with input_overrides. For fully custom graphs use submit_workflow (the graph must end in an output node like SaveImage, or validation rejects it). Give every node in a custom graph a _meta.title naming its role in plain words ("Load driving video", "Remove background", "Save video") — the canvas shows these titles; without them the user sees only class names. Save and reuse with save_workflow / run_saved_workflow. When the user asked to build or create a workflow (not just for an output), save it with save_workflow after the run, then hand them the link from get_workflow_canvas_url and mention the saved layout is auto-generated and may need tidying.

Editing an existing image: upload_file first, then reference the uploaded file from a LoadImage node (or pass it to partner_generate for image-to-image partners). Never inline base64 image data into a workflow.

Getting results: wait_for_job → get_output. Outputs come back as time-limited signed URLs — download them exactly as returned (don't edit query params, they're part of the signature). get_queue and cancel_job manage in-flight jobs; submit_batch / wait_for_batch fan out variations.

Discovery: search_models (checkpoints/LoRAs on the platform), search_nodes (available ComfyUI nodes with wiring hints), get_prompting_guide (model-specific prompting advice).

Example prompts

  • "Generate an image of a cozy bookstore café on a rainy afternoon with Ideogram and download it to ./bookstore.png"
  • "Take ./product.jpg, remove the background, and upscale the result 2×"
  • "Find a text-to-video template for Kling, run it with the prompt 'a paper boat drifting down a rain gutter, cinematic', and give me the output URL"

Notes

  • Generation spends Comfy Cloud credits; search/discovery tools are free.
  • Full MCP docs and per-client setup: docs.comfy.org/cloud/mcp

Frequently asked questions

What does the Comfy AI skill do?

Generate images, video, audio, and 3D with Comfy Cloud — search hundreds of models and workflow templates, run custom ComfyUI workflows, and manage generation jobs through the hosted Comfy Cloud MCP server. Cloud-only — connects to the hosted service, not a local ComfyUI install. Use for any "generate/edit an image", "make a video", "text to 3D", or ComfyUI workflow task.

Why use Comfy on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Comfy-Org/comfy-skills/tree/main/openclaw/comfy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Comfy?

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 Comfy?

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

Is the Comfy AI skill free?

Yes. It is published on GitHub by Comfy-Org 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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