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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic
  1. Skills
  2. /
  3. doany-ai
  4. /
  5. skills
  6. /
  7. Controlnet Pose

Controlnet Pose

doany-ai/skills
82.4k installs
Summary

Routes pose-conditioned generation across three RunComfy endpoints: Kling Motion Control for transferring a reference video's movement onto a target character, Wan 2-2 for audio-driven stylized animation, and Z-Image ControlNet LoRA for single-image pose conditioning from OpenPose skeletons or depth maps. The routing is automatic based on whether you're working with video or stills and photoreal versus stylized output. It's a wrapper around the runcomfy CLI, so you still need to figure out which control image type your LoRA expects and generate pose skeletons upstream. For multi-condition stacks like pose plus depth plus canny, you'll need to drop into ComfyUI workflows manually.

Install

npx skills add https://github.com/doany-ai/skills --skill controlnet-pose
First SeenJun 3, 2026
View on GitHub

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