Animate Story
Skill5 starsChanged 3 months agoMITView on GitHub
Turn photos and ideas into anime-style visual stories — generate scene-by-scene illustrated narratives
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The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
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- Common
- Distinctive
- Very specific
- Distinctive: line 107
Add or remove scenes
- Distinctive: line 152
Keep the style descriptors identical across all scenes
- Distinctive: line 153
Use the same model for all scenes in one story
- Distinctive: line 172
Always use 9:16 for vertical/story content unless specified otherwise
- Distinctive: line 175
Start with flux-schnell for drafts, upgrade to flux-dev for finals
- Distinctive: line 176
Keep stories to 5-8 scenes — too many loses engagement
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- openlabor-connector: images, api_key={{INTERNAL_API_KEY}}, employee={{EMPLOYEE_ID}}, base={{API_BASE_URL}} -->Animate Story
Turn photos and ideas into anime-style visual stories — generate scene-by-scene illustrated narratives.
You have access to image generation through the OpenLabor API.
How to Generate Images
use images GENERATE '{"prompt":"...","model":"flux-schnell","aspect_ratio":"9:16","num_images":"1"}'Styles
The same pipeline supports multiple visual styles. Always ask the user which style they want, or default to anime.
| Style | Prompt Suffix |
| Anime/Manga | anime style, manga aesthetic, vibrant colors, dramatic lighting, studio quality |
| Ghibli | studio ghibli style, soft watercolor, whimsical, warm lighting, hand-painted feel, nostalgic |
| Comic Book | comic book style, bold ink outlines, halftone dots, dynamic panels, superhero aesthetic, vivid colors |
| Cyberpunk | cyberpunk style, neon lights, rain-soaked streets, holographic UI, dark futuristic, blade runner aesthetic |
| Watercolor | watercolor painting style, soft edges, flowing colors, artistic brushstrokes, delicate, dreamy |
| Pixel Art | pixel art style, 16-bit retro, clean pixels, limited color palette, nostalgic game aesthetic |
Pipeline
Step 1: Story Input
The user provides either:
- A photo of themselves or a scene (to be anime-fied)
- A text description of a story they want illustrated
- A topic/theme ("my morning routine as anime", "startup founder origin story")
Step 2: Scene Breakdown
Break the story into 5-8 scenes. For each scene define:
- Scene number and description (what's happening)
- Type: "anime" (AI-generated) or "real" (user's original photo)
- Image prompt for anime scenes
- Caption/text overlay (short, punchy text for the scene)
- Mood (epic, chill, romantic, dark, funny)
Example breakdown:
Scene 1: [anime] Hook — dramatic wide shot establishing the world
Scene 2: [real] User's actual photo — the "real me"
Scene 3: [anime] The struggle — character facing a challenge
Scene 4: [anime] The breakthrough moment
Scene 5: [anime] The transformation — before/after contrast
Scene 6: [real] User's photo again — "back to reality"
Scene 7: [anime] The vision — where they're heading
Scene 8: [anime] CTA scene — bold text with call to actionStep 3: Image Generation
For each anime scene, generate the image:
use images GENERATE '{"prompt":"[scene description], anime style, manga aesthetic, vibrant colors, dramatic lighting, studio quality, detailed illustration","model":"flux-schnell","aspect_ratio":"9:16","num_images":"1"}'Style prompt suffix — always append to every anime prompt:
anime style, manga aesthetic, vibrant colors, dramatic lighting, studio quality, detailed illustration, cinematic compositionAspect ratios by platform:
- TikTok / Reels / Stories:
9:16(vertical) - Twitter / LinkedIn:
16:9(horizontal) - Instagram feed:
1:1(square)
Model selection:
flux-schnell— fast drafts, $0.003/img (~5s)flux-dev— higher quality, $0.025/img (~15s)imagen-4— alternative style, good for text rendering
Generate all scenes in parallel for speed — don't wait for one to finish before starting the next.
Step 4: Assemble the Story
Present the scenes in order with:
- Each generated image
- Scene caption/text overlay
- Transition notes (if creating video)
Step 5: Refinement
Once the user reviews:
- Regenerate specific scenes with adjusted prompts
- Try different models for better quality
- Adjust style (more dramatic, more subtle, different color palette)
- Add or remove scenes
Story Templates
"Day in My Life" (anime edition)
- Wake up scene — cozy bedroom, morning light
- Real photo — actual morning routine
- Commute/travel — dramatic city scene
- Work scene — focused character at desk
- Real photo — actual workspace
- Achievement moment — celebration/breakthrough
- Evening — peaceful sunset scene
- CTA — "Follow for more"
"Origin Story" (startup/brand)
- The problem — dark, frustrated scene
- The spark — lightbulb moment, dramatic lighting
- Building — montage of work and progress
- The struggle — obstacles, rain, darkness
- Breakthrough — explosion of light and color
- Today — confident character, bright scene
- Vision — epic future landscape
- CTA — brand name, bold typography
"Product Launch"
- The old way — dull, frustrating
- Enter the hero — product reveal, dramatic
- Feature 1 — action scene showing benefit
- Feature 2 — another action scene
- Feature 3 — climactic demonstration
- Transformation — before/after split
- Social proof — characters celebrating
- CTA — "Try it now"
"Tutorial / How-To"
- The goal — what you'll learn 2-6. Step-by-step scenes, each illustrating one step
- The result — completed outcome
- CTA — "Save this for later"
Prompt Engineering for Anime
Character Consistency
To maintain consistent characters across scenes:
- Describe the character the same way each time: "young woman with short black hair, blue eyes, wearing a white hoodie"
- Keep the style descriptors identical across all scenes
- Use the same model for all scenes in one story
Mood Mapping
| Mood | Prompt keywords |
| Epic | dramatic lighting, cinematic, golden hour, lens flare, wide angle |
| Chill | soft colors, pastel, warm lighting, cozy, lo-fi aesthetic |
| Romantic | cherry blossoms, soft pink, dreamy, bokeh, sunset |
| Dark | noir, shadows, rain, neon lights, moody, high contrast |
| Funny | exaggerated expressions, chibi style, bright colors, comedic |
| Hype | action lines, dynamic pose, explosion effects, intense colors |
Platform Optimization
- TikTok/Reels: 9:16, bold text overlays, 5-8 scenes max
- Twitter thread: 16:9, one image per tweet, 7-10 scenes
- Instagram carousel: 1:1, clean design, 5-10 slides
- LinkedIn: 16:9, professional tone, 5-7 scenes
Guidelines
- Always use 9:16 for vertical/story content unless specified otherwise
- Generate scenes in parallel for speed
- Append the anime style suffix to every prompt
- Start with flux-schnell for drafts, upgrade to flux-dev for finals
- Keep stories to 5-8 scenes — too many loses engagement
- Each scene should have a clear purpose in the narrative arc
- Include a CTA in the final scene
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