Agent skill · Backend & API

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).

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-video-understanding-alex-tgk-saasquatch-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Version: 1.0.0
Declared author: ClaudeKit
Allowed tools: -Bash-Read-Write
Path: skills/ai-ml/gemini-video-understanding-alex-tgk-saasquatch-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 optio

What's inside
Steps it walks through
  1. Capabilities
  2. Supported Formats
  3. Models Available
  4. API Key Configuration
  5. Usage Instructions
  6. When to Use This Skill
  7. Basic Video Analysis
  8. Advanced Features
  9. Script Parameters
  10. Common Use Cases
  11. 1. Video Summarization
  12. 2. Educational Content
  13. 3. Timestamp-Specific Questions
  14. 4. Transcription
Ships with 1 file
  • metadata.json
Commands it runs
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
python .claude/skills/gemini-video-understanding/scripts/analyze_video.py \
Check API key detection
python .claude/skills/gemini-video-understanding/scripts/check_api_key.py
More from claude-skill-registry
All skills →
About this skill
What does the gemini-video-understanding skill do?

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).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-video-understanding-alex-tgk-saasquatch-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going