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awesome-eduawesome-edu/video-to-skill/SKILL.md

video-to-skill

Skill4 starsChanged 4 months agoMITView on GitHub

video-to-skill — Convert any video (mp4/m4a/YouTube) into a queryable SKILL.md, plus chapters, vocab and cheatsheet. 0-cloud option (faster-whisper + ffmpeg + local LLM).

  • Installs packages

4 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions4 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 4

    1. brenoepics/video-to-skill★ 143same name
    2. Lum1104/video-to-skill★ 41same name
    3. Galbaz1/video-research-mcp★ 23same name
    4. carlosbuelvas1/openclaw-skills★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run on air-gapped/laptop machines without cloud APIs

    line 35

“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

video-to-skill

Convert any video into a queryable SKILL.md — local, PII-redactable, runs on laptop.

video.mp4 ─→ [faster-whisper + PySceneDetect + Tesseract] ─→ SKILL.md
                                                              chapters/
                                                              cheatsheet.md
                                                              vocab.md

What it does

  • Transcribe audio via faster-whisper (local, no cloud)
  • Sample frames with ffmpeg, optional OCR with Tesseract
  • Extract vocabulary, topics, chapters via pluggable local LLM (Ollama / LM Studio)
  • Render a SKILL.md mirroring the book-to-skill format (~4 KB)
  • Redact phone numbers, emails, IDs, explicit names — by default

When to use

  • Turn lecture recordings into reusable lesson notes
  • Index webinars, talks, how-to videos for docs/agent memory
  • Convert training videos into SKILL.md for downstream agents
  • Run on air-gapped/laptop machines without cloud APIs

Quickstart

git clone https://github.com/awesome-edu/video-to-skill.git
cd video-to-skill
pip install faster-whisper PySceneDetect

python scripts/video_to_skill.py path/to/video.mp4 \
    --name my-skill \
    --redact-name Alex --redact-name Liam

Output:

output/my-skill/
├── SKILL.md          # main skill (4-6 KB)
├── cheatsheet.md     # 1-page quick reference
├── vocab.md          # domain vocabulary
├── chapters/         # scene-by-scene chunks
└── raw_transcript.json

Type-aware extraction (optional)

Pass --type for schema tuned to content kind:

  • --type lecture — chapter by intro/body/conclusion
  • --type cartoon — character dialogues + plot
  • --type meeting — speaker diarization + agenda
  • --type howto — step-by-step commands
  • --type documentary — timeline + subjects

Design Principles

  1. Pure extraction by default — no LLM classification unless you ask
  2. Type-aware is opt-in — pass --type for schema tuning
  3. PII redaction is on by default — phone/email/ID/names scrubbed at source
  4. Local-first — ffmpeg + faster-whisper + Tesseract + optional local LLM
  5. Zero magic deps — Python 3.10+ and ffmpeg is the minimum

Cross-skill compatibility

Output SKILL.md layout mirrors book-to-skill (one-line-per-fact, 4-6 KB). Downstream tools that load book-to-skill work without changes.

Requirements

  • Python 3.10+
  • ffmpeg on PATH
  • faster-whisper (pip install faster-whisper)
  • Optional: Tesseract for --ocr
  • Optional: Ollama/LM Studio on localhost:11434 for type-aware

License

MIT © 奥深 Awesome Education

Acknowledgments

Built by 奥深 Awesome Education (Alex + Athena + Mia + Cleo + Bria + Vera). First public version: 03:10, 2026-07-16.

Download now (ZIP)

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

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