🎯

controlnet-pose

🎯Skill

from prime-skills/runcomfy-agent-skills

Installation

Vibe Index InstallInstalls to .claude/skills/
$npx vibeindex add prime-skills/runcomfy-agent-skills --skill controlnet-pose
skills.sh Install⚠ Installs to .agents/skills/
$npx skills add prime-skills/runcomfy-agent-skills --skill controlnet-pose
Manual InstallCopy SKILL.md content and save to the path below
path
~/.claude/skills/controlnet-pose/SKILL.md
VibeIndex|
What it does
|

A Claude Code skill for pose-conditioned image and video generation via the RunComfy CLI. It routes across Kling Motion Control (video pose transfer), Wan 2-2 Animate (audio-driven character animation), and Z-Image ControlNet LoRA (pose-conditioned image generation from OpenPose, DWPose, canny, or depth control images).

Overview

ControlNet Pose is a Claude Code skill that conditions image or video generation on a pose, skeleton, or motion reference using the RunComfy CLI. It automatically selects the best model endpoint based on your input type: video pose transfer (Kling 2-6 Motion Control Pro/Standard), stylized character animation (Wan 2-2 Animate), or still-image pose-conditioned generation (Z-Image Turbo ControlNet LoRA). For advanced multi-condition stacks combining pose, depth, and canny simultaneously, it directs users to dedicated ComfyUI workflows on the RunComfy cloud platform.

Key Features

  • Video pose transfer with Kling 2-6 Motion Control Pro/Standard: transfer a reference video's motion and blocking onto a new target character image
  • Audio-driven character animation via Wan 2-2 Animate for stylized mascot and character work with pose conditioning
  • Still-image pose-conditioned generation using Z-Image Turbo ControlNet LoRA with OpenPose skeletons, DWPose, canny edges, or depth maps as control inputs
  • Automatic model routing that picks the right endpoint based on whether the input is video vs. still and stylized vs. photoreal
  • Simple CLI invocation through runcomfy run with JSON input containing reference URLs and prompts
  • Multi-condition workflow support by pointing to curated ComfyUI workflows for complex ControlNet stacks (depth + canny + pose)

Who is this for?

  • Video producers and motion designers who need to transfer choreography or motion from one performance onto a different character
  • Digital artists creating pose-locked compositions where a character must hold a specific stance or body position
  • Animation teams working on stylized character projects that need audio-driven or pose-driven movement generation
📦

Same repository

prime-skills/runcomfy-agent-skills(25 items)

controlnet-pose

SKILL.md

345,785Installs
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AddedAug 11, 2026

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