muapi-talking-baby-video skill
Create a viral-style video of a talking baby with custom costumes and scripts.
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Install the muapi-talking-baby-video 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/talking-baby-video ~/.claude/skills/muapi-talking-baby-video
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
Talking Baby Video
Create a viral-style video of a talking baby with custom costumes and scripts.
Inputs
Steps
Phase A — Baby Character Generation
Submit the plan with ONE step to create the baby character:
- Baby Image Generation — muapi image generate (model=nano-banana or wan2.5-text-to-image):
- Prompt: {{babydescription}} sitting and wearing {{babycostume}}. High-quality photography, soft natural lighting, adorable expression, detailed fabric textures, shallow depth of field, Pixar-like charm but realistic.
- Aspect ratio: 9:16 or 1:1
Present the baby image to the user for approval.
Phase B — Talking Animation
Once the image is approved, submit the plan to animate the baby talking:
- Talking Animation — muapi video from-image (model=grok-imagine-image-to-video):
- Reference Image: The baby image from Phase A.
- Prompt: A viral-style talking baby video. The baby is expressive, moving their mouth and head naturally while speaking the following lines: "{{dialogue}}". Subtle facial expressions like blinking and smiling. High-quality animation, smooth movements.
- Aspect ratio: 9:16 or 1:1
After generation, present the final talking baby video.
Trigger Keywords
talking baby, viral baby video, baby pilot, baby doctor, funny baby animation
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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