Agent skill · Content & Marketing

video-content-extractor

Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Declared author: 274326424
Path: skills/video-content-extractor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

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

From the SKILL.md

# Video Content Extractor ## Overview Automatically extracts key frames from MP4 video files at configurable time intervals, performs OCR text recognition on each frame, and generates a structured Markdown report. The report includes video metadata (duration, resolution, codecs) and frame-by-frame OCR transcripts with timestamp references. This skill is designed for Codex CLI and requires FFmpeg and Tesseract OCR installed on the local machine. ## When to Use This Skill - Use when you need to extract text content from video presentations, lectures, or screencasts. - Use when you want to create searchable transcripts from video files without embedded subtitles. - Use when you need to analyze video content programmatically and generate structured summaries. - Use when the user asks to "read what is on screen" or "extract the content from this video." ## How It Works ### Step 1: Analyze Video Metadata The skill uses ffprobe to extract video metadata: duration, resolution, frame rate, codec information, and file size. ### Step 2: Extract Key Frames Using FFmpeg, the skill captures frames at the configured interval (default: every 30 seconds). Each frame is saved as a timestamped JPEG i

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Step 1: Analyze Video Metadata
  5. Step 2: Extract Key Frames
  6. Step 3: OCR Text Recognition
  7. Step 4: Generate Markdown Report
  8. Examples
  9. Example 1: Basic Extraction
  10. Example 2: Custom Interval
  11. Example 3: Bilingual Content
  12. Best Practices
  13. Limitations
  14. Security and Safety Notes
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About this skill
What does the video-content-extractor skill do?

Extract key frames from MP4 videos at configurable intervals, run Tesseract OCR, and generate structured Markdown reports with video metadata and timestamped text transcripts.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill video-content-extractor --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 sickn33/agentic-awesome-skills, a repository with 44,414 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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