# Create Animated GIF Stickers from Photos

Turning photos into consistent animated stickers requires several generation and conversion steps. This skill coordinates MiniMax and FFmpeg to produce four captioned GIFs.

## Install

```bash
npx skillstore add minimax-ai/gif-sticker-maker
```

## Metadata

- Status: approved
- Slug: minimax-ai-gif-sticker-maker
- Version: 1.2
- Author version: 1.2
- Skillstore revision: r2
- Version status: invalid
- Tree hash: 37c300e7b8a7e9b9d06851161046f865f42dc75c671b103462dca6a692f41c8b
- Author: MiniMax-AI
- GitHub username: MiniMax-AI
- License: MIT
- Repository: https://github.com/MiniMax-AI/skills/tree/main/skills/gif-sticker-maker
- Ref: 02be9409c79ca1183f7844009c14d9df684d0cf9
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, filesystem, network, env\_access
- Quality score: 50
- Quality tier: warning
- Public page: https://skillstore.pages.dev/skills/minimax-ai-gif-sticker-maker
- Manifest: https://skillstore.pages.dev/api/skills/minimax-ai-gif-sticker-maker/manifest

## Capabilities

- Creates four square sticker images from a person, pet, object, or logo description.
- Uses a person photo as a character reference for facial likeness.
- Generates short image-to-video animations through the MiniMax API.
- Converts generated MP4 files into palette-optimized GIF files with FFmpeg.
- Supports custom captions or default captions in seven languages.
- Runs independent image and video generation jobs concurrently when the agent supports parallel execution.

## Use Cases

- Build Personal Reaction Stickers: Convert a portrait into four animated reactions with short captions for everyday messaging.
- Create Branded Animated Assets: Turn a logo or product mascot into a consistent set of animated promotional stickers.
- Produce Multilingual Emoji Packs: Generate captioned sticker sets that match the audience language across supported caption presets.

## Prompt Templates

### Create a Default Sticker Pack

```
Create four animated GIF stickers from this photo. Use the default captions for my language.
```

### Use Custom Captions

```
Create four animated stickers from this pet photo. Use these captions: {caption_1}, {caption_2}, {caption_3}, and {caption_4}.
```

### Animate a Brand Mascot

```
Transform this logo into four animated mascot stickers. Preserve its colors and shape. Use these actions: {actions}.
```

### Control the Full Sticker Set

```
Create a four-sticker pack from {subject}. Use {language}, captions {captions}, actions {actions}, and filenames {filenames}. Keep every caption readable.
```

## Limitations

- Requires a MiniMax API key, a configured API base URL, Python dependencies, and FFmpeg.
- Reference-image likeness is supported only for person subjects.
- Generated media quality, text stability, latency, and cost depend on MiniMax services.
- The workflow produces four GIFs and does not provide an interactive sticker editor.

## Best Practices

- Use a clear, well-lit reference photo with one visible subject.
- Keep captions between one and three words for reliable rendering.
- Confirm the target language, API endpoint, output paths, and estimated service cost before generation.

## Anti Patterns

- Do not upload personal photos without the subject's consent.
- Do not mix caption languages within one sticker pack.
- Do not use untrusted API base URLs or unverified media download hosts.

## Security Audit

- Audited at: 2026-08-09T08:43:46.593\+00:00
- Summary: Most static findings are false positives caused by documented credential handling, expected output writes, Markdown formatting, and shell-safe FFmpeg calls. Confirmed risks involve external transmission of prompts and photos, unrestricted endpoint configuration, and unvalidated remote downloads. No prompt injection or malicious system-reconnaissance intent was found.

## Stats

- Views: 182
- Downloads: 11
- Favorites: 0
- Popularity score: 0