Agent skill · Content & Marketing

gemini-video

Invoke Google Gemini for video understanding and analysis using the Python google-genai SDK. Supports gemini-3-pro-preview and gemini-2.5-flash for video analysis, transcription, and content extraction.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-video --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
Path: skills/ai-llm/gemini-video/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 Skill Invoke Google Gemini models for video understanding, analysis, transcription, and content extraction using the Python `google-genai` SDK. ## Available Models | Model ID | Description | Best For | |----------|-------------|----------| | `gemini-3-pro-preview` | Best multimodal understanding | Complex video analysis, detailed descriptions | | `gemini-2.5-pro` | Advanced reasoning | Deep video analysis with reasoning | | `gemini-2.5-flash` | Fast processing | Quick video summaries, high throughput | ## Configuration **API Key**: Use environment variable `GEMINI_API_KEY` ## Usage ### Video Analysis (Local File) For local video files, use the File API to upload first: ```bash python -c " from google import genai from google.genai import types import time client = genai.Client(api_key=os.environ.get('GEMINI_API_KEY')) # Upload video file video_file = client.files.upload(file='VIDEO_PATH') print(f'Uploaded file: {video_file.name}') # Wait for processing while video_file.state.name == 'PROCESSING': print('Processing video...') time.sleep(5) video_file = client.files.get(name=video_file.name) if video_file.state.name == 'FAILED': raise ValueError('Video processing faile

What's inside
Steps it walks through
  1. Available Models
  2. Configuration
  3. Usage
  4. Video Analysis (Local File)
  5. Video Analysis (From URL)
  6. Video Transcription
  7. Workflow
  8. Example Invocations
  9. Summarize Meeting Recording
  10. Analyze Tutorial Video
  11. Extract Code from Coding Video
  12. Timestamp-Based Analysis
  13. Q&A About Video
  14. File Management
Ships with 1 file
  • metadata.json
Commands it runs
python -c "
from google import genai
from google.genai import types
import time
client = genai.Client(api_key=os.environ.get('GEMINI_API_KEY'))
Upload video file
video_file = client.files.upload(file='VIDEO_PATH')
Wait for processing
while video_file.state.name == 'PROCESSING':
video_file = client.files.get(name=video_file.name)
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About this skill
What does the gemini-video skill do?

Invoke Google Gemini for video understanding and analysis using the Python google-genai SDK. Supports gemini-3-pro-preview and gemini-2.5-flash for video analysis, transcription, and content extraction.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-video --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.

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