Comfy UI Complete Toolkit

v1.0.0

Portable ComfyUI workflow and API guidance for any install. Use when building, validating, or troubleshooting ComfyUI image/video workflows, discovering avai...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for zambav/comfyui-complete-toolkit-skill.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Comfy UI Complete Toolkit" (zambav/comfyui-complete-toolkit-skill) from ClawHub.
Skill page: https://clawhub.ai/zambav/comfyui-complete-toolkit-skill
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install comfyui-complete-toolkit-skill

ClawHub CLI

Package manager switcher

npx clawhub@latest install comfyui-complete-toolkit-skill
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high confidence
Purpose & Capability
The name/description match the runtime instructions: the SKILL.md consistently focuses on discovering a target ComfyUI install (via /object_info, /queue, /history, /prompt, /ws) and building/validating workflows. There are no unrelated requirements (no cloud creds, no system paths) and the manifest explicitly avoids machine-specific inventories.
Instruction Scope
Runtime instructions confine activity to querying the ComfyUI API, validating discovered node/model dropdown values, and building/submitting workflow JSON. The skill explicitly disallows embedding absolute filesystem paths or storing secrets in docs and instructs to ask the user for base URLs when unknown. It does not instruct reading arbitrary system files or environment variables outside the declared (none) set.
Install Mechanism
This is instruction-only with no install spec and no code files to write or execute. That is the lowest-risk install profile and matches the described portable guidance role.
Credentials
The skill declares no required environment variables, credentials, or config paths. It asks the user (or discovers) only for target ComfyUI base/websocket URLs and model names — which are appropriate and proportionate for the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent or cross-skill privileges. disable-model-invocation is the default (false) which is expected; nothing in the files suggests it would modify other skills or system settings.
Assessment
This skill appears coherent and portable. Before installing or using it, be sure you intentionally grant the agent access to the ComfyUI target you want it to manage: verify the base_url/websocket URL you provide (don’t hand over credentials or URLs for systems you don’t control), limit network exposure if possible (e.g., avoid giving access to internal-only services unless you trust the agent), and review any workflow submissions before approving large or expensive runs. If you need the agent to persist configuration, confirm that it will store that config in a user-owned location rather than a shared/global store.

Like a lobster shell, security has layers — review code before you run it.

latestvk97fj9qr58gt8r5e939720qq4d83rby3
330downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

ComfyUI Portable Skill

Use this skill when the task is to work with ComfyUI in a reusable, installation-agnostic way.

Minimum trigger scope

Trigger on requests like:

  • "Build a ComfyUI workflow"
  • "Fix this ComfyUI workflow"
  • "Use the ComfyUI API"
  • "Why is this ComfyUI graph failing?"
  • "Add a LoRA / model / node to this ComfyUI setup"

Do not assume any particular machine, model inventory, file layout, GPU, or custom node pack.

First move: assume zero install knowledge

Before writing or editing any workflow:

  1. Read references/setup.md.
  2. If the install is unknown, collect the missing setup fields from the user or discover them from the running ComfyUI instance.
  3. Prefer discovery over assumptions:
    • use /object_info to detect node classes and model dropdown values
    • confirm checkpoints, VAEs, encoders, and LoRAs from the target install
    • stop and report missing requirements clearly

Read path by task

Global operating rules

  • Treat node classes as discoverable, not guaranteed constants.
  • Treat model filenames as examples until confirmed on the target install.
  • Use filename-only model references in workflow JSON unless the install explicitly requires a subdirectory path.
  • Use defensive parsing for /history and /object_info; schema details can vary by ComfyUI version and custom nodes.
  • Fail fast when a required node class, model, or custom node is missing.
  • Keep setup-specific notes out of this file; put them in a per-user config or setup reference.

Cold-read test

Before publishing or packaging changes, check that a fresh reader could answer:

  • What does this skill do?
  • When should it trigger?
  • What must be discovered first?
  • Where do install-specific values go?
  • Which reference file should be opened for the current task?

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