controlnet-pose
Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion /
Open source Repository Open in the app JSON README (API)
About
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.
Details
- Kind
- Agent skills
- Topic
- AI, RAG & memory
- Publisher
- prime-skills
- Origin
- skillssh
- Category
- ferramentas
- Stars
- 43
- Forks
- 9
- Last push
- 2026-05-15T10:59:51Z
- Repository state
- ativo
- License
- MIT
- Added
- 2026-08-30 15:21:04
- Updated
- 2026-09-06 10:00:41
- Origin id
prime-skills/runcomfy-agent-skills/controlnet-pose
README
# runcomfy-agent-skills RunComfy AI media skills for Claude agents. Install via: ```bash npx skills add agentspace-so/runcomfy-agent-skills --skill <skill-name> ``` Skills are pushed one at a time so we can verify each one's SKILL.md is correctly indexed by skills.sh before adding the next.