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comfyui-api-workflow-automation
Workflow for integrating new ComfyUI workflows into an MCP server and handling directory restriction errors.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Workflow for integrating new ComfyUI workflows into an MCP server and handling directory restriction errors.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
A specialized AI agent that ruthlessly evaluates all marketing assets against world-class standards, ensuring only premium content is approved for final delivery.
A specialized framework for generating high-fidelity prompts optimized for Flux.2 (image) and LTX 2.5 (video). Focuses on materiality, optical physics, temporal dynamics, and cinematic technicality to move beyond "vibe-coded" descriptions.
Automates the transformation of narrative Markdown prompts into technical JSON payloads for Z-Image Turbo ComfyUI workflows. Handles extraction, sanitization against banned terms, and dynamic parameter injection (Resolution/Node Targeting).
Transforms narrative script data into cinematic prompt batches for FLUX/LTX.
Expert-tier prompting protocol for Grok Imagine Video Generation (xAI). Focuses on 'Hollywood sequence' narrative prose, SCENE LOCK consistency, and handheld realism.
High-precision prompting protocol for LTX 2.3 (Lightricks) video generation, optimized for ComfyUI VFX pipelines and local control. Incorporates cinematic prose, camera motion selectors, and the community-standard 3-stage sampling hack.
| name | comfyui-api-workflow-automation |
| description | Workflow for integrating new ComfyUI workflows into an MCP server and handling directory restriction errors. |
This skill provides a workflow for integrating new or shared ComfyUI workflows into an active MCP server environment.
.json workflows to a remote ComfyUI server via MCP.list_workflows.ln -sf <source> <target>. This is preferred for real-time updates.mcp_comfyui_mcp_list_workflows to ensure the file is visible.mcp_comfyui_mcp_read_workflow on the new file.read_workflow returns an error stating the file is "outside of the configured directory" even though it appears in the list, the MCP server is failing to resolve the symlink.cp <source> <target>.mcp_comfyui_mcp_read_workflow to confirm successful access.execute_code (Python) to call MCP tools directly; they are agent-level tools and cannot be imported into the Python sandbox. Use direct tool calls instead.When automating via API, always inspect the JSON structure first to map:
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