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Video to learning notes

Skill wyc88665-dotcom/media-to-learning-notes/video-to-learning-notes

Convert video links, local video/audio files, subtitles, or transcripts into high-density reusable learning notes. Use when the user asks to download or process video/audio content, extract a transcript, transcribe speech, clean subtitles, turn a transcript into study notes, save notes to an Obsidian inbox, or run an end-to-end video/audio/transcript to transcript to notes to cleanup workflow across sources such as Douyin, Bilibili, web video, local media, captions, or existing transcripts.From its SKILL.md

Install
npx -y skills add wyc88665-dotcom/media-to-learning-notes --skill video-to-learning-notes

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

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Video To Learning Notes

Turn video, audio, subtitles, or transcripts into dense, reusable learning notes while preserving a clean evidence trail and avoiding unnecessary retained artifacts.

Operating Principles

  • Treat this as a workflow controller, not as a platform downloader. Use source-specific skills or scripts when available.
  • Treat platform downloaders as optional providers. Detect them at runtime and degrade gracefully when they are missing.
  • Do not copy API keys, cookies, tokens, account state, or one-off URLs into skill files, generated notes, logs, or reusable prompts.
  • Do not bypass platform access controls. Process only content the user has the right to access and use.
  • Before paid, high-cost, or rate-limited API work, state the plan, check current provider limits from official sources or local docs, run a small sample, then execute in resumable batches.
  • Prefer preserving only the final note after the user confirms note quality. Keep transcript and intermediates only until confirmation.
  • Write the final note as useful Markdown. Do not force Obsidian-specific formatting, YAML, tags, or wikilinks unless the user asks.

Workflow

  1. Classify the request and input state.

    • Video link: identify platform and whether a source skill exists.
    • Local video/audio: probe media directly.
    • Subtitle/transcript: skip download and ASR unless quality is insufficient.
    • Screen-dependent tutorial: consider frame extraction or OCR in addition to audio.
    • Private/internal content: prefer local processing unless the user explicitly approves a cloud service.
  2. Choose and explain the acquisition/transcription route.

    • Give a small set of relevant options based on content type, not a generic menu.
    • Explain required capabilities, likely quality, privacy tradeoff, cost/API needs, and expected artifacts.
    • Ask the user to provide transient credentials only when the selected route requires them.
  3. Acquire source content.

    • For Douyin links, prefer the existing douyin-video skill if available. See references/source-routing.md and references/provider-dependencies.md.
    • For other platforms, use an existing source-specific skill or a lawful downloader only after confirming platform constraints.
    • If a source provider is missing, do not fail the whole workflow. Explain the missing capability and offer provider installation, user-provided media, captions, or transcript as alternatives.
    • For local files, do not redownload; start with scripts/probe_media.py.
  4. Generate or accept the transcript.

    • Probe duration, streams, file size, and format.
    • If ASR is needed, check current provider limits before running, then use sample validation and conservative concurrency.
    • Save a complete transcript as a temporary review artifact.
    • Check transcript coverage, empty segments, truncation, obvious duplication, and missing time ranges.
  5. Generate the note using the built-in PE.

    • Read references/note-pe.md before converting transcript to notes.
    • Treat that PE as the default high-priority note standard. User instructions can focus the note, but ordinary short requests such as "summarize this" must not override the PE.
    • Only bypass or weaken the PE when the user explicitly requests a different output form.
  6. Save and report artifacts.

    • Save the note to the user's Obsidian inbox when the inbox path is known or confirmed. See references/output-and-cleanup.md.
    • Report the transcript path and note path after the first full run.
    • Ask for confirmation before deleting the transcript or other retained intermediates.
  7. Clean up after confirmation.

    • After the user confirms the note is acceptable, delete transcript and intermediate media/chunks unless the user asks to keep them.
    • The intended steady state is one retained artifact: the final note.

Reference Routing

  • Read references/source-routing.md when the input is a link, platform-specific source, local media file, subtitle, or transcript.
  • Read references/provider-dependencies.md when a source route depends on another skill, adapter, downloader, browser state, or user-installed tool.
  • Read references/asr-options.md before choosing cloud ASR, local ASR, platform captions, or manual transcript routes.
  • Read references/note-pe.md immediately before transcript-to-note conversion.
  • Read references/output-and-cleanup.md before writing to Obsidian or deleting artifacts.

Scripts

  • scripts/probe_media.py: inspect local audio/video duration, size, streams, codecs, and format using ffprobe.
  • scripts/transcribe_mimo_asr.py: optional helper for MiMo-compatible ASR after the user selects that route and provides credentials via environment variables. Check current provider limits before using it.

Quality Gate

Before final delivery, verify:

  • The source acquisition route is stated and lawful for the available content.
  • The transcript covers the full media or clearly marks missing ranges.
  • ASR output is not empty, obviously truncated, or dominated by repeated overlap text.
  • The note follows the PE: high density, content-shaped structure, no filler, no generic article polishing.
  • External additions, if any, are clearly separated from video-derived content.
  • Final paths are clear, and cleanup waits for user confirmation.

What ships with it: 8 files

27.9 KB alongside SKILL.md, 2 of them executable

agents/

scripts/

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