Media Ingest Skill
SkillDocs & knowledgeLets your agent read videos, YouTube links, PDFs, books, screenshots and code repos into its memory.
Use Media Ingest Skill in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Media Ingest Skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
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.
What this skill tells your AI
The instructions your AI receives, as published by inbrainfun/inbrain in skills/media-ingest/SKILL.md and read by Ahel’s review.
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain.
Filing rule: Read
skills/_brain-filing-rules.mdbefore creating any new page.
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
inbrain files upload-raw - Filing by primary subject, not by media format
Convention: See
skills/conventions/quality.mdfor 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
| Format | Action |
|---|---|
| YouTube/video URL | Fetch transcript (Whisper, transcription service, or captions) |
| Audio file | Transcribe with available STT service |
| Extract text (OCR if needed) | |
| Book PDF | Extract text, identify chapters/sections |
| Screenshot/image | OCR via vision model, extract text and entities |
| GitHub repo | Clone, read README + key files, summarize architecture |
Phase 2: Upload raw source
Save the original file for provenance: inbrain 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:
- Check brain for existing page
- Create/enrich if needed (delegate to enrich skill)
- Add back-link from entity page to this media page
- Add timeline entry on entity page
A media item is NOT fully ingested until entity propagation is complete.
Phase 5: Sync
inbrain 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."
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 undermedia/<format>/<slug>ARE sanctioned for synthesized one-of-one output like book-mirror'smedia/books/<slug>-personalized.md. The anti-pattern is for raw ingest, not for sui generis synthesis. Seeskills/_brain-filing-rules.md"Sanctioned exception: synthesis output is sui generis." - Not preserving raw source files
- Creating stub pages without meaningful content
Signals
- GitHub stars
- 143
- Forks
- 126
- Last commit
- Jul 2026
Advanced
- Item type
- skill
- Key
media-ingest- Source
- github.com/inbrainfun/inbrain
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