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Motivation: To maintain a cleaner root directory structure and follow the project's documentation organization standards. Implementation: - Relocated llms.txt and llms-full.txt to the docs/ folder. - Updated file paths in README.md, README.zh.md, and PROJECT_DISCOVERY_CHECKLIST.md to point to the new location.
30 lines
1.1 KiB
Plaintext
30 lines
1.1 KiB
Plaintext
# ComfyUI Skills for OpenClaw
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Project: ComfyUI_Skills_OpenClaw
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Primary keywords: OpenClaw, ComfyUI, Skills, 小龙虾
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Language: English + Chinese
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License: MIT
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## One-line summary
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An OpenClaw-oriented skill layer that turns ComfyUI API-format workflows into callable agent skills for local or remote image generation.
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## Core capabilities
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- Discover enabled workflows from a local registry.
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- Map natural-language-derived args into ComfyUI workflow node fields via schema.
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- Queue prompt jobs to ComfyUI servers and wait for completion.
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- Download generated images to local outputs.
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- Support multi-server workflow namespaces (`<server_id>/<workflow_id>`).
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## Entry points
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- Skill spec: `SKILL.md`
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- Workflow registry CLI: `scripts/registry.py`
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- Generation runner: `scripts/comfyui_client.py`
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- Server manager CLI: `scripts/server_manager.py`
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- Local web dashboard: `ui/app.py` and `ui/static/`
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## Typical use
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1. Add/configure ComfyUI servers.
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2. Register workflows and schema mappings.
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3. Call a workflow with `--workflow <server_id>/<workflow_id> --args '{...}'`.
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4. Return local generated image path(s).
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