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Skill evidence / Controlnet Pose
prime-skillsruncomfy-agent-skills371,700 installs on skills.sh

Controlnet Pose

Pose-conditioned generation on RunComfy via the `runcomfy` CLI.

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Works in any agent

prime-skills/runcomfy-agent-skillspinned fca19ae
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Recorded for this package revision; Edge checks the exact bundle again when your agent loads it.

SKILL.md1 file · 10.7 KB
From prime-skills’s public repository. Edge did not write or edit this skill.

What this skill does for you

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

Quoted from the skill description in the pinned source

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the controlnet-pose skill from prime-skills/runcomfy-agent-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Try Controlnet Pose in your agent.

Pose-conditioned generation on RunComfy via the `runcomfy` CLI.

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