thumbnail-extraction SKILL.md skillA

thumbnail-extraction from swyxio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add swyxio/skills/thumbnail-extraction@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
swyxio/skills
Path
thumbnail-extraction/SKILL.md
Versions recorded
4
Latest version
v0.1.0, committed Oct 1, 2026
First version recorded
Mar 28, 2026
Size
9,623 bytes
Repository stars
194
License
MIT

Extracts the most interesting frames from video files for thumbnail compositing. Detects faces, expressions, smiles, and presentation slides. Outputs full frames, face crops, and transparent cutouts. Use when asked to extract thumbnails, find interesting frames, grab screenshots from video, or create thumbnail candidates from recordings.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Video Thumbnail Extraction

## Overview
Automatically scan a local MP4 video (or YouTube URL via yt-dlp) and extract the 4 most visually interesting frames — prioritizing expressive faces (laughing, shocked, smiling) and engaging presentation slides. Outputs full frames, face crops, and background-removed transparent PNGs ready for compositing.

## When to Use
- Before creating YouTube thumbnails (feeds into `youtube-thumbnails` skill)
- When you need the best screenshot from a long video recording
- When compositing a thumbnail and need transparent guest cutouts
- Processing Zoom gallery recordings, interviews, or presentations

## Dependencies

### Python packages (install once)
```bash
# In sandbox (Cowork VM):
pip install opencv-python scenedetect deepface pillow numpy --break-system-packages

# On host Mac (for background removal — sandbox can't download the model):
pip3 install 'rembg[cpu]' pillow --break-system-packages
```

### System tools
- `ffmpeg` (usually pre-installed)
- `python3` (3.10+)
- `yt-dlp` (optional, for YouTube URLs): `pip install yt-dlp --break-system-packages`

### Model downloads (first run)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add swyxio/skills/thumbnail-extraction@sha256:1a7181a3c6b2270c

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cpfx7gxvllsiqql7.svg)](https://markdownregistry.com/a/art_cpfx7gxvllsiqql7)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Mar 28, 2026 and Oct 1, 2026, about one every 62 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-01 7a57f05 9,623 BA view · diff
v0.1.02026-04-08 e0355eb 9,609 BA view · diff
v0.1.02026-03-28 d835e50 12,323 BA view · diff
v0.1.02026-03-28 b4b1e0f 12,148 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9623 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

swyxio/skills · 194 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cpfx7gxvllsiqql7
GET https://markdownregistry.com/api/v1/resolve?ref=swyxio/skills/thumbnail-extraction
GET https://markdownregistry.com/api/v1/blob/1a7181a3c6b2270cf26406037d3ad973966117232758d7b6a4aca10763433775

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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