Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-character-story-video
Create a multi-part animated story video by first establishing a consistent character and then generating sequential scenes and animating them.
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| character_description | text | yes | — | Description of the main character (e.g. "a cute piglet wearing a leather aviator jacket and goggles"). |
| story_premise | text | yes | — | The overall story arc (e.g. "building a jetpack and flying to space"). |
| reference_image | image_url | no | — | Optional starting image of the character to maintain consistency. |
This skill involves multiple phases to build a cohesive narrative.
If {{reference_image}} is NOT provided, submit the plan with ONE step to create the character:
muapi image generate (model=nano-banana-pro):{{character_description}}, introducing the main character, cinematic lighting, highly detailed, Pixar 3D animation style.If {{reference_image}} IS provided, use it as the established character and proceed to Phase B.
After generation, ask the user to confirm the character design before proceeding.
Once the character is established, create the story beats (e.g., Scene 1, Scene 2, Scene 3).
Submit the plan using muapi image edit (model=nano-banana-2-edit or flux-kontext-pro-i2i) to maintain character consistency. Use the established character image as the reference for ALL these steps.
The character ({{character_description}}) in the first scene of the story: [Describe the beginning of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.The character ({{character_description}}) in the second scene: [Describe the climax or middle action of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.The character ({{character_description}}) in the final scene: [Describe the resolution of {{story_premise}}]. Cinematic lighting, Pixar 3D animation style, storybook illustration.*Note: All scenes should be generated in parallel or sequentially depending on the story flow.*
After generating the scenes, present them to the user and ask if they are ready to animate the story.
Submit the plan to animate the generated scenes using an image-to-video model (e.g., kling-v3.0-pro-image-to-video or veo3.1-image-to-video).
Cinematic animation of the scene, character comes to life, subtle natural movements, high quality 3D animation.Cinematic animation of the scene, character comes to life, dynamic action, high quality 3D animation.Cinematic animation of the scene, character comes to life, triumphant resolution, high quality 3D animation.After generating the videos, present them to the user as a multi-part story sequence. You may also suggest using the muapi predict result + ffmpeg concat tool to merge them into a single movie if requested.
character story, story video, animated story, sequel video, multi part video, sequential story
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.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>.{{input_name}} placeholders with the user's actual inputs before issuing each call.Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take samuraigpt/muapi-character-story-video from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.