AgentSkillsCN

ai-multimodal

利用Google Gemini API处理多媒体内容，以提升视觉理解能力。其功能包括：分析音频文件（带时间戳的转录、摘要生成、语音理解、长达9.5小时的音乐/声音分析）、理解图像（比Claude模型更出色的图像分析能力、自动生成标题、推理、目标检测、设计提取、OCR、视觉问答、分割处理，支持多张图像）、处理视频（场景检测、问答、时间序列分析，支持YouTube链接，最长6小时）、从文档中提取信息（PDF表格、表单、图表、示意图、多页文档）、生成图像（通过Imagen 4实现文本转图像，支持图像编辑、构图与精修）、生成视频（通过Veo 3实现文本转视频，8秒长的片段自带原生音频）。在处理音频/视频文件、分析图像或截图时使用此功能（替代Claude默认的视觉能力，仅在必要时才回退至Claude的视觉能力），处理PDF文档、从媒体中提取结构化数据、根据文本提示生成图像/视频，或实现多模态AI功能。支持Gemini 3/2.5、Imagen 4以及Veo 3模型，上下文窗口可达200万标记。

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)

Available Scripts

IMPORTANT: Only these 4 scripts exist. Do NOT invent or guess script names!

ScriptPurposeExample
gemini_batch_process.pyMain CLI for all tasks--files <file> --task analyze
media_optimizer.pyCompress/resize media--input <file> --max-size 10M
document_converter.pyConvert docs to markdown--files <pdf>
check_setup.pyVerify setup(no args needed)

Script Details

  • •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 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:
    code
    [HH:MM:SS -> HH:MM:SS] transcript content
[HH:MM:SS -> HH:MM:SS] transcript content
...

Resources