Skill: daidai8910g/minimax-gif-sticker (version 1.0.0)

--- name: gif-sticker-maker description: | 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. license: MIT metadata: version: "1.2" category: creative-tools style: Funko Pop / Pop Mart output_format: GIF output_count: 4 sources: - MiniMax Image Generation API - MiniMax Video Generation API --- # 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 after


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)