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muapi-animal-video-generator

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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Download samuraigpt-generative-media-skills-library_motion_animal-video-generator-74df8cb.zip · 1 KB
Part of samuraigpt/generative-media-skills — 72 skills

Install

skills CLI npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/motion/animal-video-generator
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install samuraigpt-generative-media-skills@llmmart
Git git clone https://github.com/SamurAIGPT/Generative-Media-Skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole samuraigpt/generative-media-skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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

Name Type Required Default Description
animal_type text no monkey The type of animal vlogging (e.g., monkey, dog, cat, bear).
location text no busy streets of Noida, India The setting for the vlog.
clothing text no a bright red t-shirt What the animal is wearing.
script text no क्या यार, कहाँ फंस गया नॉएडा में आके? इससे तो बैंगलोर ही अच्छा था. यहाँ तो बड़ी गर्मी है भाई. पसीने ही छूट गए मेरे तो. The dialogue for lip-sync.

Steps

Phase A — Generate Vlogger Image

Submit the plan with ONE step to create the base image of the animal vlogger:

  1. Image Generation — muapi image generate (model=nano-banana or nano-banana-pro):
    • Prompt: Ultra-realistic, cinematic portrait of an expressive {{animal_type}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animal_type}} 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:

  1. 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 {{animal_type}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animal_type}} 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 MUAPI_API_KEY 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/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
Files (generative-media-skills)
  • SKILL.md 3.3 KB
    ---
    slug: muapi-animal-video-generator
    name: muapi-animal-video-generator
    version: "1.0.0"
    description: Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.
    acceptLicenseTerms: true
    ---
    
    
    # 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
    
    | Name | Type | Required | Default | Description |
    |:---|:---|:---|:---|:---|
    | `animal_type` | text | no | monkey | The type of animal vlogging (e.g., monkey, dog, cat, bear). |
    | `location` | text | no | busy streets of Noida, India | The setting for the vlog. |
    | `clothing` | text | no | a bright red t-shirt | What the animal is wearing. |
    | `script` | text | no | क्या यार, कहाँ फंस गया नॉएडा में आके? इससे तो बैंगलोर ही अच्छा था. यहाँ तो बड़ी गर्मी है भाई. पसीने ही छूट गए मेरे तो. | The dialogue for lip-sync. |
    
    
    ## Steps
    
    ### Phase A — Generate Vlogger Image
    
    Submit the plan with ONE step to create the base image of the animal vlogger:
    
    1. **Image Generation** — `muapi image generate` (model=`nano-banana` or `nano-banana-pro`):
       - Prompt: `Ultra-realistic, cinematic portrait of an expressive {{animal_type}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animal_type}} 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:
    
    1. **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 {{animal_type}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animal_type}} 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 `MUAPI_API_KEY` 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/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.
    - Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
    

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