Install
$ agentstack add skill-samuraigpt-generative-media-skills-animal-video-generator ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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:
- 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)
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/ -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi 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.
- Author: SamurAIGPT
- Source: SamurAIGPT/Generative-Media-Skills
- License: MIT
- Homepage: https://muapi.ai?utmsource=github&utmmedium=about&utm_campaign=generative-media-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.