AgentSkillsCN

ai-multimodal

使用Google Gemini API处理和生成多媒体内容，以获得更好的视觉能力。功能包括分析音频文件（带时间戳的转录、摘要、语音理解、音乐/声音分析最长9.5小时）、理解图像（比Claude模型更好的图像分析、标题生成、推理、目标检测、设计提取、OCR、视觉问答、分割、处理多张图片）、处理视频（场景检测、问答、时间分析、YouTube URL，最长6小时）、从文档中提取（PDF表格、表单、图表、示意图、多页）、生成图像（文本转图像，使用Imagen 4、编辑、合成、优化）、生成视频（文本转视频，使用Veo 3，8秒片段带原生音频）。在处理音频/视频文件、分析图像或截图（代替Claude的默认视觉能力，仅在必要时回退到Claude的视觉能力）、处理PDF文档、从媒体中提取结构化数据、从文本提示创建图像/视频或实现多模态AI功能时使用。支持Gemini 3/2.5、Imagen 4和Veo 3模型，上下文窗口可达2M tokens。

SKILL.md
--- frontmatter
name: ai-multimodal
description: Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.
license: MIT
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit

AI Multimodal

Process audio, images, videos, documents, and generate images/videos using Google Gemini's multimodal API.

Setup

bash
export GEMINI_API_KEY="your-key"  # Get from https://aistudio.google.com/apikey
pip install google-genai python-dotenv pillow

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 gemini command is available, then use "<prompt to analyze image>" | gemini -y -m gemini-2.5-flash command. If gemini command is not available, use python scripts/gemini_batch_process.py --files <file> --task analyze command. Generate content: python scripts/gemini_batch_process.py --task <generate|generate-video> --prompt "description"

Stdin support: You can pipe files directly via stdin (auto-detects PNG/JPG/PDF/WAV/MP3).

  • •cat image.png | python scripts/gemini_batch_process.py --task analyze --prompt "Describe this"
  • •python scripts/gemini_batch_process.py --files image.png --task analyze (traditional)

Models

  • •Image generation: imagen-4.0-generate-001 (standard), imagen-4.0-ultra-generate-001 (quality), imagen-4.0-fast-generate-001 (speed)
  • •Video generation: veo-3.1-generate-preview (8s clips with audio)
  • •Analysis: gemini-2.5-flash (recommended), gemini-2.5-pro (advanced)

Scripts

  • •gemini_batch_process.py: CLI orchestrator for transcribe|analyze|extract|generate|generate-video that auto-resolves API keys, picks sensible default models per task, streams files inline vs File API, and saves structured outputs (text/JSON/CSV/markdown plus generated assets) for Imagen 4 + Veo workflows.
  • •media_optimizer.py: ffmpeg/Pillow-based preflight tool that compresses/resizes/converts audio, image, and video inputs, enforces target sizes/bitrates, splits long clips into hour chunks, and batch-processes directories so media stays within Gemini limits.
  • •document_converter.py: Gemini-powered converter that uploads PDFs/images/Office docs, applies a markdown-preserving prompt, batches multiple files, auto-names outputs under docs/assets, and exposes CLI flags for model, prompt, auto-file naming, and verbose logging.
  • •check_setup.py: Interactive readiness checker that verifies directory layout, centralized env resolver, required Python deps, and GEMINI_API_KEY availability/format, then performs a live Gemini API call and prints remediation instructions if anything fails.

Use --help for options.

References

Load for detailed guidance:

TopicFileDescription
Audioreferences/audio-processing.mdAudio 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.
Imagesreferences/vision-understanding.mdVision 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 Genreferences/image-generation.mdImagen 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.
Videoreferences/video-analysis.mdVideo 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 Genreferences/video-generation.mdVeo 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.

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

Resources