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Agent skill for running registered ComfyUI workflows through a stable CLI, and for importing a user's own ComfyUI workflow into their private registry after review. Supports image, video, music, and speech generation, plus text-driven matting, face/expression transfer, and voice cloning, on a local or trusted self-hosted ComfyUI server (default http://127.0.0.1:8188). Can check server health, preflight workflow dependencies, and save the server URL. Runs only registered workflows and reviewed private-registry imports; does not execute arbitrary unreviewed workflow JSON.
comfyui-agent-skill-mie is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # comfyui-agent-skill-mie ## Purpose Run registered ComfyUI workflows through a stable Agent-facing CLI, with prompt enhancement, fail-fast errors, and structur. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding comfyui-agent-skill-mie to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install MieMieeeee/comfyui-agent-skillReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# comfyui-agent-skill-mie ## Purpose Run registered ComfyUI workflows through a stable Agent-facing CLI, with prompt enhancement, fail-fast errors, and structured JSON results. Use