media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain.
Skill by ltdrew
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, writing
Reviews
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What's inside
- Skill name
media-ingest- Description
- 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.
- License
- MIT
- Instructions
- 88 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
## 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
| Format | Action |
|--------|--------|
| YouTube/video URL | Fetch transcript (Whisper, transcription service, or captions) |
| Audio file | Transcribe with available STT service |
| PDF | 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: `gbrain files upload-raw <file> --page <slug>`
### Phase 3: Create brain page
File by primary subject (not format). Use this template:
```markdown
# {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."
## Anti-Patterns
- Dumping raw transcripts without analysis
- Skipping entity extraction ("I'll do that separately")
- Filing by format (all videos in `media/videos/`) instead of by subject
- Not preserving raw source files
- Creating stub pages without meaningful contentFrom ltdrew/Agent-brain-2, MIT.
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install
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No description from the publisher yet.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 24, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ltdrew/Agent-brain-2
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
media-ingest skill. Agent Mart. https://agentmart.dev/skills/ltdrew-media-ingest (last updated 2026-10-24)