gemini-video-understanding
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install mrgoonie-xxxnaper-gemini-video-understanding
Repository
Skill path: .claude/skills/gemini-video-understanding
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: Data / AI, Backend, Tech Writer, Designer.
Target audience: everyone.
License: MIT.
Original source
Catalog source: SkillHub Club.
Repository owner: mrgoonie.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install gemini-video-understanding into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/mrgoonie/xxxnaper before adding gemini-video-understanding to shared team environments
- Use gemini-video-understanding for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
--- name: gemini-video-understanding description: Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video). license: MIT allowed-tools: - Bash - Read - Write metadata: version: "1.0.0" author: ClaudeKit api-provider: Google Gemini requires-api-key: GEMINI_API_KEY --- # Gemini Video Understanding Skill This skill enables comprehensive video analysis using Google's Gemini API, including video summarization, question answering, transcription, timestamp references, and more. ## Capabilities - **Video Summarization**: Create concise summaries of video content - **Question Answering**: Answer specific questions about video content - **Transcription**: Transcribe audio with visual descriptions and timestamps - **Timestamp References**: Query specific moments in videos (MM:SS format) - **Video Clipping**: Process specific segments using start/end offsets - **Multiple Videos**: Compare and analyze up to 10 videos (Gemini 2.5+) - **YouTube Support**: Analyze YouTube videos directly (preview feature) - **Custom Frame Rate**: Adjust FPS sampling for different video types ## Supported Formats - MP4, MPEG, MOV, AVI, FLV, MPG, WebM, WMV, 3GPP ## Models Available **Gemini 2.5 Series:** - `gemini-2.5-pro` - Best quality, 1M context - `gemini-2.5-flash` - Balanced quality/speed, 1M context - `gemini-2.5-flash-preview-09-2025` - Preview features, 1M context **Gemini 2.0 Series:** - `gemini-2.0-flash` - Fast processing - `gemini-2.0-flash-lite` - Lightweight option **Context Windows:** - 2M token models: ~2 hours (default) or ~6 hours (low-res) - 1M token models: ~1 hour (default) or ~3 hours (low-res) ## API Key Configuration The skill checks for `GEMINI_API_KEY` in this order: 1. **Process environment**: `process.env.GEMINI_API_KEY` or `$GEMINI_API_KEY` 2. **Skill directory**: `.claude/skills/gemini-video-understanding/.env` 3. **Project root**: `.env` file in project root To set up: ```bash # Option 1: Environment variable (recommended) export GEMINI_API_KEY="your-api-key-here" # Option 2: Skill directory .env file echo "GEMINI_API_KEY=your-api-key-here" > .claude/skills/gemini-video-understanding/.env # Option 3: Project root .env file echo "GEMINI_API_KEY=your-api-key-here" > .env ``` Get your API key at: https://aistudio.google.com/apikey ## Usage Instructions ### When to Use This Skill Use this skill when the user asks to: - Analyze, summarize, or describe video content - Answer questions about videos - Transcribe video audio with visual context - Extract information from specific timestamps - Compare multiple videos - Process YouTube video content - Create quizzes or educational content from videos ### Basic Video Analysis **For video files:** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "/path/to/video.mp4" \ --prompt "Summarize this video in 3 key points" ``` **For YouTube URLs:** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --youtube-url "https://www.youtube.com/watch?v=VIDEO_ID" \ --prompt "What are the main topics discussed?" ``` ### Advanced Features **Video Clipping (specific time range):** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "/path/to/video.mp4" \ --prompt "Summarize this segment" \ --start-offset "40s" \ --end-offset "80s" ``` **Custom Frame Rate:** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "/path/to/video.mp4" \ --prompt "Analyze the rapid movements" \ --fps 5 ``` **Transcription with Timestamps:** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "/path/to/video.mp4" \ --prompt "Transcribe the audio with timestamps and visual descriptions" ``` **Multiple Videos (Gemini 2.5+ only):** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-paths "/path/video1.mp4" "/path/video2.mp4" \ --prompt "Compare these two videos and highlight the differences" ``` **Model Selection:** ```python python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "/path/to/video.mp4" \ --prompt "Detailed analysis" \ --model "gemini-2.5-pro" ``` ### Script Parameters ``` Required (one of): --video-path PATH Path to local video file --youtube-url URL YouTube video URL --video-paths PATH [PATH..] Multiple video paths (Gemini 2.5+) Required: --prompt TEXT Analysis prompt/question Optional: --model NAME Model to use (default: gemini-2.5-flash) --start-offset TIME Video clip start (e.g., "40s", "1m30s") --end-offset TIME Video clip end (e.g., "80s", "2m") --fps NUMBER Frame sampling rate (default: 1) --output-file PATH Save response to file --verbose Show detailed processing info ``` ## Common Use Cases ### 1. Video Summarization ``` Prompt: "Summarize this video in 3 key points with timestamps" ``` ### 2. Educational Content ``` Prompt: "Create a quiz with 5 questions and answer key based on this video" ``` ### 3. Timestamp-Specific Questions ``` Prompt: "What happens at 01:15 and how does it relate to the topic at 02:30?" ``` ### 4. Transcription ``` Prompt: "Transcribe the audio from this video with timestamps for salient events and visual descriptions" ``` ### 5. Content Comparison ``` Prompt: "Compare these two product demo videos. Which one explains the features more clearly?" ``` ### 6. Action Detection ``` Prompt: "List all the actions performed in this tutorial video with timestamps" ``` ## Rate Limits & Quotas **Free Tier (per model):** - 10-15 RPM (requests per minute) - 1M-4M TPM (tokens per minute) - 1,500 RPD (requests per day) **YouTube Limitations:** - Free tier: 8 hours of YouTube video per day - Paid tier: No length-based limits - Public videos only (no private/unlisted) **Storage (Files API):** - 20GB per project - 2GB per file - 48-hour retention period ## Token Calculation Video tokens depend on resolution: - **Default resolution**: ~300 tokens per second of video - **Low resolution**: ~100 tokens per second of video **Example:** A 10-minute video = 600 seconds × 300 tokens = ~180,000 tokens ## Error Handling Common errors and solutions: | Error | Cause | Solution | |-------|-------|----------| | 400 Bad Request | Invalid video format or corrupt file | Check file format and integrity | | 403 Forbidden | Invalid/missing API key | Verify GEMINI_API_KEY configuration | | 404 Not Found | File URI not found | Ensure file is uploaded and active | | 429 Too Many Requests | Rate limit exceeded | Implement backoff, upgrade to paid tier | | 500 Internal Error | Server-side issue | Retry with exponential backoff | ## Best Practices 1. **Use Files API for videos >20MB** - More reliable than inline data 2. **Wait for file processing** - Poll until state is ACTIVE before analysis 3. **Optimize FPS** - Use lower FPS for static content to save tokens 4. **Clip long videos** - Process specific segments instead of entire video 5. **Cache context** - Reuse uploaded files for multiple queries 6. **Batch processing** - Process multiple short videos in one request (2.5+) 7. **Specific prompts** - Be precise about what you want to extract ## Implementation Notes ### For Claude Code: When a user requests video analysis: 1. **Check API key availability** first using the helper script 2. **Determine video source**: local file, YouTube URL, or multiple videos 3. **Select appropriate model** based on requirements (default: gemini-2.5-flash) 4. **Run the analysis script** with proper parameters 5. **Parse and present results** to the user clearly 6. **Handle errors gracefully** with helpful suggestions ### Files API Workflow: For videos >20MB or reusable content: 1. Upload video using Files API (script handles this automatically) 2. Wait for ACTIVE state (polling included in script) 3. Use file URI for analysis 4. Files auto-delete after 48 hours ### Inline Data Workflow: For videos <20MB: 1. Read video file as bytes 2. Base64 encode for API 3. Send in generateContent request 4. Single-use, no upload needed ## Example Workflows ### Workflow 1: YouTube Video Summary ```bash # User: "Analyze this YouTube tutorial video" python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --youtube-url "https://www.youtube.com/watch?v=abc123" \ --prompt "Create a structured summary with: 1) Main topics, 2) Key takeaways, 3) Recommended audience" ``` ### Workflow 2: Interview Transcription ```bash # User: "Transcribe this interview with timestamps" python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-path "interview.mp4" \ --prompt "Transcribe this interview with speaker labels, timestamps, and visual descriptions of gestures or slides shown" ``` ### Workflow 3: Product Comparison ```bash # User: "Compare these two product demo videos" python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \ --video-paths "demo1.mp4" "demo2.mp4" \ --model "gemini-2.5-pro" \ --prompt "Compare these product demos on: features shown, presentation quality, clarity of explanation, and overall effectiveness" ``` ## Troubleshooting **API Key Not Found:** ```bash # Check API key detection python .claude/skills/gemini-video-understanding/scripts/check_api_key.py ``` **Video Too Large:** ``` Error: Request size exceeds 20MB Solution: Script automatically uses Files API for large videos ``` **Processing Timeout:** ``` Error: File not reaching ACTIVE state Solution: Check video integrity, try smaller file, or different format ``` **Rate Limit Errors:** ``` Error: 429 Too Many Requests Solution: Wait before retry, or upgrade to paid tier ``` ## Additional Resources - **API Documentation**: https://ai.google.dev/gemini-api/docs/video-understanding - **Files API Guide**: https://ai.google.dev/gemini-api/docs/vision#uploading-files - **Rate Limits**: https://ai.google.dev/gemini-api/docs/rate-limits - **Pricing**: https://ai.google.dev/pricing - **Get API Key**: https://aistudio.google.com/apikey ## Version History - **1.0.0** (2025-10-26): Initial release with full video understanding capabilities