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SKILL verified MIT Self-run

Muapi Animal Video Generator

skill-samuraigpt-generative-media-skills-animal-video-generator · by SamurAIGPT

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

$ agentstack add skill-samuraigpt-generative-media-skills-animal-video-generator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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 Generationmuapi 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 Generationmuapi 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/ -H "x-api-key: $MUAPI_API_KEY" -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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.