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.
Install
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/motion/animal-video-generator
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install samuraigpt-generative-media-skills@llmmart
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:
- Image Generation —
muapi image generate(model=nano-bananaornano-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)
- Prompt:
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 generateormuapi 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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi 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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