vetcoders-screenscribe

Analyze screencast recordings to extract audio, transcripts, findings, and structured reports.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/VetCoders/vetcoders-skills --skill vetcoders-screenscribe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vetcoders-screenscribe
Source: https://github.com/VetCoders/vetcoders-skills/tree/main/vetcoders-screenscribe
Command: npx skills add https://github.com/VetCoders/vetcoders-skills --skill vetcoders-screenscribe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the analysis of video recordings, transforming them into structured findings, and provides a direct path for debugging and developing the ScreenScribe tool itself.

Core Features & Use Cases

  • Screencast Analysis: Process .mov or .mp4 files to extract audio, generate transcripts, identify bugs, capture screenshots, and produce reports (JSON, Markdown, HTML Pro).
  • Artifact Generation: Create transcript-first bundles for downstream AI processing.
  • Tool Development: Work directly within the ScreenScribe repository to debug, modify, and test the tool's functionality.
  • Use Case: Analyze a recorded demo of a new feature, automatically generating a bug report and a shareable HTML summary.

Quick Start

Run a full review of the video file located at /absolute/path/to/video.mov.

Frequently Asked Questions about vetcoders-screenscribe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract audio and generate transcripts from a video recording?

To extract audio and generate transcripts from video recordings, you process .mov or .mp4 files through the ScreenScribe pipeline, which automatically produces timestamped transcripts alongside captured screenshots and structured findings.

Can I automatically generate bug reports from a screencast video?

Yes, you can automatically generate bug reports from screencast videos by analyzing .mov or .mp4 files, identifying findings, capturing screenshots, and exporting structured reports in JSON, Markdown, or HTML Pro formats.

Does the transcription and video analysis pipeline work without external dependencies?

The transcription and video analysis pipeline operates without external dependencies, processing video files directly to extract audio, generate timestamped transcripts, and produce structured report artifacts for downstream processing.

What is the best way to debug and modify a video analysis tool repository directly?

The best way to debug and modify a video analysis tool repository is working directly within the ScreenScribe codebase, which supports testing, modifying, and debugging the pipeline's audio extraction, transcription, and reporting functionality.

How do I convert a screencast into a structured Markdown or JSON report?

To convert a screencast into a structured Markdown or JSON report, run the video file through the analysis pipeline, which identifies findings, captures screenshots, and outputs formatted reports ready for sharing or downstream AI processing.

What video file formats are supported for screencast analysis and transcription?

Screencast analysis and transcription supports .mov and .mp4 video file formats, extracting audio to generate timestamped transcripts and producing structured artifact bundles with identified findings and captured screenshots.