controlnet-pose
controlnet-pose is an agent skill published by doany-ai, listed under training models. It lives in the doany-ai/skills repository, which has 5 GitHub stars and is licensed under MIT; we last read it on 2026-09-16.
This tool routes through various motion and image generation processes via the `runcomfy` CLI, connecting to Kling 2-6 Motion Control Pro/Standard, Wan 2-2 Animate, and Z-Image Turbo ControlNet LoRA. It conditions generation on poses, motion, depth, or canny edges based on user input.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads doany-ai/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add doany-ai/skills
Maintenance
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.
controlnet-pose compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| controlnet-pose (this page) | doany-ai | Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro /… | 5 | 2026-05-18 |
| agent-platform-eval-flywheel | Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel met… | 21,580 | 2026-10-25 | |
| agent-platform-tuning | Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform… | 21,580 | 2026-10-25 | |
| agent-platform-tuning-management | Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don'… | 21,580 | 2026-10-25 | |
| gemini-live-api | Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user… | 21,580 | 2026-10-25 | |
| hf-cloud-sagemaker-deployment-planner | huggingface | Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants… | 11,213 | 2026-10-23 |
| hf-cloud-serving-image-selection | huggingface | Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this sk… | 11,213 | 2026-10-23 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about controlnet-pose
- What does controlnet-pose do?
- This tool routes through various motion and image generation processes via the `runcomfy` CLI, connecting to Kling 2-6 Motion Control Pro/Standard, Wan 2-2 Animate, and Z-Image Turbo ControlNet LoRA. It conditions generation on poses, motion, depth, or canny edges based on user input.
- How do I install controlnet-pose?
- Run npx skills add doany-ai/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes controlnet-pose?
- doany-ai.
- Is controlnet-pose maintained, and what licence does it use?
- Its repository has 5 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-05-18. The repository declares the MIT licence.
More agent skills for training models
- ai-image-generationby 101-skills
- flux-imageby 101-skills
- p-imageby 101-skills
- firecrawl-knowledge-baseby firecrawl
- agent-platform-eval-flywheelby google
- agent-platform-tuningby google