muapi-animal-video-generator skill
Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.
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Install the muapi-animal-video-generator skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills mkdir -p ~/.claude/skills cp -r /tmp/Generative-Media-Skills/library/motion/animal-video-generator ~/.claude/skills/muapi-animal-video-generator
available in every project
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Animal Vlogger Video
Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.
Inputs
Steps
Phase A — Generate Vlogger Image
Submit the plan with ONE step to create the base image of the animal vlogger:
- Image Generation — muapi image generate (model=nano-banana or nano-banana-pro):
- Prompt: Ultra-realistic, cinematic portrait of an expressive {{animaltype}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animaltype}} is anthropomorphic, walking upright, and looks like a believable vlogger. Sweating slightly in the heat, highly detailed, photorealistic. Background shows a bustling street, people eating at stalls, vibrant urban details.
- Aspect ratio: 9:16 (for vertical vlog style)
After generating the image, present it to the user.
Phase B — Video Generation
Once the image is approved, submit a second the plan with ONE step to animate it with lip-sync:
- Video Generation — muapi video generate or muapi video from-image (model=veo3.1-fast-image-to-video):
- Reference Image: The generated image from Phase A.
- Prompt: Create an ultra-realistic cinematic video featuring a lifelike {{animaltype}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animaltype}} is expressive, looks mildly disgruntled, and speaks naturally. Occasional quick zoom-in on the disappointed face. Background features busy street life, vibrant colors. Smooth gimbal-like camera motion.
- Dialogue for Lip-Sync (if tool supports audio/lipsync): {{script}}
- Aspect ratio: 9:16
After generation, present the final funny video.
Trigger Keywords
animal video, funny monkey video, animal vlogger, vlog video, monkey in noida
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPIAPIKEY is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/ -H "x-api-key: $MUAPIAPIKEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
- Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
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