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ck:ai-multimodal
GitHub提供基于 Gemini 和 MiniMax 的多模态 AI 能力，支持图像、音频、视频的分析、转录及生成，涵盖图片、视频、语音和音乐创作。
Trigger Scenarios
需要分析图片或视频内容
需要生成图像或视频
需要语音合成或音乐生成
Install
npx skills add phuc-nt/my-translator --skill ck:ai-multimodal -g -y
SKILL.md
Frontmatter
{
"name": "ck:ai-multimodal",
"license": "MIT",
"description": "Analyze images\/audio\/video with Gemini API (better vision than Claude). Generate images (Imagen 4, Nano Banana 2, MiniMax), videos (Veo 3, Hailuo), speech (MiniMax TTS), music (MiniMax). Use for vision analysis, transcription, OCR, design extraction, multimodal AI.",
"allowed-tools": [
"Bash",
"Read",
"Write",
"Edit"
],
"argument-hint": "[file-path] [prompt]"
}
AI Multimodal
Process audio, images, videos, documents using Gemini. Generate images, videos, speech, music via Gemini + MiniMax.
Setup
# Google Gemini (analysis + image/video gen)
export GEMINI_API_KEY="your-key" # https://aistudio.google.com/apikey
# MiniMax (image/video/speech/music gen)
export MINIMAX_API_KEY="your-key" # https://platform.minimax.io/user-center/basic-information/interface-key
pip install google-genai python-dotenv pillow requests
API Key Rotation (Optional)
For high-volume Gemini usage, configure multiple keys:
export GEMINI_API_KEY="key1"
export GEMINI_API_KEY_2="key2" # auto-rotates on rate limit
Quick Start
Verify setup: python scripts/check_setup.py
Analyze media: python scripts/gemini_batch_process.py --files <file> --task <analyze|transcribe|extract>
- TIP: When you're asked to analyze an image, check if
geminicommand is available, then useecho "<prompt to analyze image>" | gemini -y -m <gemini.model>command (read model from$HOME/.opencode/.ck.json:gemini.model). Ifgeminicommand is not available, usepython scripts/gemini_batch_process.py --files <file> --task analyzecommand. Generate (Gemini):python scripts/gemini_batch_process.py --task <generate|generate-video> --prompt "desc"Generate (MiniMax):python scripts/minimax_cli.py --task <generate|generate-video|generate-speech|generate-music> --prompt "desc"
Stdin support: Pipe files via stdin for Gemini analysis (auto-detects PNG/JPG/PDF/WAV/MP3).
Models
Google Gemini / Imagen
- Image gen:
gemini-3.1-flash-image-preview(Nano Banana 2 - DEFAULT),gemini-2.5-flash-image(Flash),gemini-3-pro-image-preview(Pro 4K),imagen-4.0-generate-001(standard),imagen-4.0-ultra-generate-001(quality),imagen-4.0-fast-generate-001(speed) - Video gen:
veo-3.1-generate-preview(8s clips with audio) - Analysis:
gemini-2.5-flash(recommended),gemini-2.5-pro(advanced)
MiniMax (NEW)
- Image gen:
image-01(standard),image-01-live(enhanced) - $0.03/image, 1-9 batch - Video gen (Hailuo):
MiniMax-Hailuo-2.3(1080p),MiniMax-Hailuo-2.3-Fast(50% cheaper),MiniMax-Hailuo-02(first+last frame),S2V-01(subject ref) - Speech/TTS:
speech-2.8-hd(best),speech-2.8-turbo(fast) - 300+ voices, 40+ languages, emotion control - Music:
music-2.5- 4-minute songs with vocals, synchronized lyrics
Scripts
gemini_batch_process.py: Gemini CLI fortranscribe|analyze|extract|generate|generate-video. Auto-resolves API keys, Imagen 4 + Veo + Nano Banana workflows.minimax_cli.py: MiniMax CLI forgenerate|generate-video|generate-speech|generate-music. Supports all MiniMax models.minimax_generate.py: MiniMax generation functions (image, video, speech, music). Library for programmatic use.minimax_api_client.py: MiniMax HTTP client, auth, async polling, file download utilities.media_optimizer.py: ffmpeg/Pillow preflight: compress/resize/convert media to stay within API limits.document_converter.py: Gemini-powered PDF/image/Office → markdown converter.check_setup.py: Setup checker for API keys and dependencies.
Use --help for options.
References
Load for detailed guidance:
| Topic | File | Description |
|---|---|---|
| Music | references/music-generation.md |
Lyria RealTime API for background music generation, style prompts, real-time control, integration with video production. |
| Audio | references/audio-processing.md |
Audio formats and limits, transcription (timestamps, speakers, segments), non-speech analysis, File API vs inline input, TTS models, best practices, cost and token math, and concrete meeting/podcast/interview recipes. |
| Images | references/vision-understanding.md |
Vision capabilities overview, supported formats and models, captioning/classification/VQA, detection and segmentation, OCR and document reading, multi-image workflows, structured JSON output, token costs, best practices, and common product/screenshot/chart/scene use cases. |
| Image Gen | references/image-generation.md |
Imagen 4 and Gemini image model overview, generate_images vs generate_content APIs, aspect ratios and costs, text/image/both modalities, editing and composition, style and quality control, safety settings, best practices, troubleshooting, and common marketing/concept-art/UI scenarios. |
| Video | references/video-analysis.md |
Video analysis capabilities and supported formats, model/context choices, local/inline/YouTube inputs, clipping and FPS control, multi-video comparison, temporal Q&A and scene detection, transcription with visual context, token and cost guidance, and optimization/best-practice patterns. |
| Video Gen | references/video-generation.md |
Veo model matrix, text-to-video and image-to-video quick start, multi-reference and extension flows, camera and timing control, configuration (resolution, aspect, audio, safety), prompt design patterns, performance tips, limitations, troubleshooting, and cost estimates. |
| MiniMax | references/minimax-generation.md |
MiniMax image (image-01), video (Hailuo 2.3), speech (TTS 2.8), and music (2.5) generation APIs. Endpoints, models, parameters, async workflows, pricing, rate limits, voice library, and examples. |
Limits
Formats: Audio (WAV/MP3/AAC, 9.5h), Images (PNG/JPEG/WEBP, 3.6k), Video (MP4/MOV, 6h), PDF (1k pages) Size: 20MB inline, 2GB File API Important:
- If you are going to generate a transcript of the audio, and the audio length is longer than 15 minutes, the transcript often gets truncated due to output token limits in the Gemini API response. To get the full transcript, you need to split the audio into smaller chunks (max 15 minutes per chunk) and transcribe each segment for a complete transcript.
- If you are going to generate a transcript of the video and the video length is longer than 15 minutes, use ffmpeg to extract the audio from the video, truncate the audio to 15 minutes, transcribe all audio segments, and then combine the transcripts into a single transcript. Transcription Output Requirements:
- Format: Markdown
- Metadata: Duration, file size, generated date, description, file name, topics covered, etc.
- Parts: from-to (e.g., 00:00-00:15), audio chunk name, transcript, status, etc.
- Transcript format:
[HH:MM:SS -> HH:MM:SS] transcript content [HH:MM:SS -> HH:MM:SS] transcript content ...
Outputs
IMPORTANT: Invoke "/ck:project-organization" skill to organize the outputs.
Resources
Version History
- 3495f99 Current 2026-07-25 07:18
