gif-sticker-maker
Convert photos (people, pets, objects, logos) into 4 animated GIF stickers with captions. Use when: user wants to create cartoon stickers, GIF expressions, emoji packs, animated avatars, or convert photos to Funko Pop / Pop Mart blind box style animations. Triggers: sticker, GIF, cartoon, emoji, expression pack, avatar animation.
Best use case
gif-sticker-maker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Convert photos (people, pets, objects, logos) into 4 animated GIF stickers with captions. Use when: user wants to create cartoon stickers, GIF expressions, emoji packs, animated avatars, or convert photos to Funko Pop / Pop Mart blind box style animations. Triggers: sticker, GIF, cartoon, emoji, expression pack, avatar animation.
Teams using gif-sticker-maker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gif-sticker-maker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gif-sticker-maker Compares
| Feature / Agent | gif-sticker-maker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Convert photos (people, pets, objects, logos) into 4 animated GIF stickers with captions. Use when: user wants to create cartoon stickers, GIF expressions, emoji packs, animated avatars, or convert photos to Funko Pop / Pop Mart blind box style animations. Triggers: sticker, GIF, cartoon, emoji, expression pack, avatar animation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# GIF Sticker Maker
Convert user photos into 4 animated GIF stickers (Funko Pop / Pop Mart style).
## Style Spec
- Funko Pop / Pop Mart blind box 3D figurine
- C4D / Octane rendering quality
- White background, soft studio lighting
- Caption: black text + white outline, bottom of image
## Prerequisites
Before starting any generation step, ensure:
1. **Python venv** is activated with dependencies from [requirements.txt](references/requirements.txt) installed
2. **`MINIMAX_API_KEY`** is exported (e.g. `export MINIMAX_API_KEY='your-key'`)
3. **`ffmpeg`** is available on PATH (for Step 3 GIF conversion)
If any prerequisite is missing, set it up first. Do NOT proceed to generation without all three.
## Workflow
### Step 0: Collect Captions
Ask user (in their language):
> "Would you like to customize the captions for your stickers, or use the defaults?"
- **Custom**: Collect 4 short captions (1–3 words). Actions auto-match caption meaning.
- **Default**: Look up [captions table](references/captions.md) by **detected user language**. **Never mix languages.**
### Step 1: Generate 4 Static Sticker Images
**Tool**: `scripts/minimax_image.py`
1. Analyze the user's photo — identify subject type (person / animal / object / logo).
2. For each of the 4 stickers, build a prompt from [image-prompt-template.txt](assets/image-prompt-template.txt) by filling `{action}` and `{caption}`.
3. **If subject is a person**: pass `--subject-ref <user_photo_path>` so the generated figurine preserves the person's actual facial likeness.
4. Generate (all 4 are independent — **run concurrently**):
```bash
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_hi.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_laugh.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_cry.png --ratio 1:1 --subject-ref <photo>
python3 scripts/minimax_image.py "<prompt>" -o output/sticker_love.png --ratio 1:1 --subject-ref <photo>
```
> `--subject-ref` only works for person subjects (API limitation: type=character).
> For animals/objects/logos, omit the flag and rely on text description.
### Step 2: Animate Each Image → Video
**Tool**: `scripts/minimax_video.py` with `--image` flag (image-to-video mode)
For each sticker image, build a prompt from [video-prompt-template.txt](assets/video-prompt-template.txt), then:
```bash
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_hi.png -o output/sticker_hi.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_laugh.png -o output/sticker_laugh.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_cry.png -o output/sticker_cry.mp4
python3 scripts/minimax_video.py "<prompt>" --image output/sticker_love.png -o output/sticker_love.mp4
```
All 4 calls are independent — **run concurrently**.
### Step 3: Convert Videos → GIF
**Tool**: `scripts/convert_mp4_to_gif.py`
```bash
python3 scripts/convert_mp4_to_gif.py output/sticker_hi.mp4 output/sticker_laugh.mp4 output/sticker_cry.mp4 output/sticker_love.mp4
```
Outputs GIF files alongside each MP4 (e.g. `sticker_hi.gif`).
### Step 4: Deliver
Output format (strict order):
1. Brief status line (e.g. "4 stickers created:")
2. `<deliver_assets>` block with all GIF files
3. **NO text after deliver_assets**
```xml
<deliver_assets>
<item><path>output/sticker_hi.gif</path></item>
<item><path>output/sticker_laugh.gif</path></item>
<item><path>output/sticker_cry.gif</path></item>
<item><path>output/sticker_love.gif</path></item>
</deliver_assets>
```
## Default Actions
| # | Action | Filename ID | Animation |
|---|--------|-------------|-----------|
| 1 | Happy waving | hi | Wave hand, slight head tilt |
| 2 | Laughing hard | laugh | Shake with laughter, eyes squint |
| 3 | Crying tears | cry | Tears stream, body trembles |
| 4 | Heart gesture | love | Heart hands, eyes sparkle |
See [references/captions.md](references/captions.md) for multilingual caption defaults.
## Rules
- Detect user's language, all outputs follow it
- Captions MUST come from [captions.md](references/captions.md) matching user's language column — never mix languages
- All image prompts must be in **English** regardless of user language (only caption text is localized)
- `<deliver_assets>` must be LAST in response, no text afterRelated Skills
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