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media-ingest

Turn videos, audio, PDFs, books, screenshots, and GitHub repositories into knowledge pages with summaries and highlights. Preserve original files, extract people and companies, and connect the material to their pages and timelines for later reference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

연동 도구YouTubeGitHub
설치 방법 보기

이럴 때 유용합니다

  • Saving key points from YouTube videos or podcasts
  • Organizing PDF and book summaries by subject
  • Extracting text and entities from screenshots
  • Recording a GitHub repository's structure and key files

포함된 파일(1)

  • SKILL.md6.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Media Ingest Skill

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain.

Filing rule: Read skills/_brain-filing-rules.md before creating any new page.

Input

ParameterRequiredDescription
sourceyesURL, file path, or uploaded file reference
titlenoOverride title (auto-detected if omitted)
target_slugnoOverride page slug (auto-generated if omitted)

Contract

This skill guarantees:

  • Every ingested media item has a brain page with analysis (not just a transcript dump)
  • Transcripts (video/audio) saved in raw and human-readable formats
  • Entity extraction: every person and company mentioned gets back-linked
  • Raw source files preserved via gbrain files upload-raw
  • Filing by primary subject, not by media format

Convention: See skills/conventions/quality.md for Iron Law back-linking.

Every mention of a person or company with a brain page MUST create a back-link.

Phases

Phase 1: Identify format and fetch

FormatAction
YouTube/video URLFetch transcript (Whisper, transcription service, or captions)
Audio fileTranscribe with available STT service
PDFExtract text (OCR if needed)
Book PDFExtract text, identify chapters/sections
Screenshot/imageOCR via vision model, extract text and entities
GitHub repoClone, read README + key files, summarize architecture

Phase 2: Upload raw source

Save the original file for provenance: gbrain files upload-raw <file> --page <slug>

Phase 3: Create brain page

File by primary subject (not format). Use this template:

# {Title}

**Source:** {URL or file path}
**Format:** {video/audio/PDF/book/screenshot/repo}
**Created:** {date}

## Summary
{Key points, not a transcript dump}

## Key Segments / Highlights
{For video/audio: timestamped highlights. For books: chapter summaries.}

## People Mentioned
{List with links to brain pages}

## Companies Mentioned
{List with links to brain pages}

Phase 4: Entity extraction and propagation

For every person and company mentioned:

  1. Check brain for existing page
  2. Create/enrich if needed (delegate to enrich skill)
  3. Add back-link from entity page to this media page
  4. Add timeline entry on entity page

A media item is NOT fully ingested until entity propagation is complete.

Phase 5: Sync

gbrain sync to update the index.

Output Format

Brain page created with summary, highlights, and entity cross-links. Report to user: "Ingested {title}: {N} entities detected, {N} pages updated."

Error Handling

  • Transcription failure: If STT or captions are unavailable, note [transcript unavailable] in the page and proceed with whatever metadata is available. Do NOT fabricate content.
  • Duplicate detection: Before creating a page, search the brain for the source URL or file hash. If found, ask the user whether to update the existing page or skip.
  • Partial OCR / audio: Mark unclear segments with [inaudible] or [illegible]. Never guess at proper nouns.
  • Large content (books > 500 pages): Summarize by chapter; do not attempt to inline the full text. Link to the raw upload.
  • Retry policy: On transient API failures (network, timeout), retry once. On auth failures, abort immediately.

Known Pitfalls

  1. YouTube auto-captions misidentify proper nouns. Always cross-reference entity names against existing brain pages before creating new ones. A caption that garbles a name (e.g. "Alise" when the speakers are discussing alice-example) should match the existing alice-example page, not create a new one.
  2. Re-running ingest on same source creates duplicates. Always check brain for existing source URL match before Phase 3.
  3. Book OCR quality varies wildly. Scanned PDFs often have garbled text. If OCR quality is <80% readable, flag to user rather than ingesting garbage.
  4. Video transcript without speaker diarization is low-value. If multiple speakers are present but no diarization is available, note this limitation prominently rather than attributing all speech to one person.
  5. Large audio files (>2hr) can timeout transcription services. Split into chunks before transcription if needed.

When it fails

Follow the agent operator protocol for any gbrain error code, exit code, [AGENT] block or notice block. Specific to this skill:

  • Transcription fails: write [transcript unavailable] and continue with metadata; never fabricate content.
  • A transient API failure (network, timeout, rate_limited): retry once. On an auth failure, abort and tell the user which provider key is missing.
  • file_upload refused (size, path outside the allowed root): tell the user the raw file was not stored and keep a pointer in the page.

Anti-Patterns

  • Dumping raw transcripts without analysis
  • Skipping entity extraction ("I'll do that separately")
  • Filing raw ingest by format (all videos in media/videos/) instead of by subject. Note: format-prefixed paths under media/<format>/<slug> ARE sanctioned for synthesized one-of-one output like book-mirror's media/books/<slug>-personalized.md. The anti-pattern is for raw ingest, not for sui generis synthesis. See skills/_brain-filing-rules.md "Sanctioned exception: synthesis output is sui generis."
  • Not preserving raw source files
  • Creating stub pages without meaningful content

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