---
name: youtube-knowledge-ingestion
description: "Use when user drops a YouTube link. Transcript→brain→NAS."
version: 1.0.0
platforms: [linux]
---

# YouTube Knowledge Ingestion Pipeline

## When to use

User drops a YouTube link for AI/ML video content (ComfyUI workflows, LTX, MiniMax,
Krea, model tutorials, prompting guides). Run the full three-step pipeline — never skip
any step.

## Pipeline (always all three steps)

### 1. Transcript

Load the `youtube-content` skill and fetch:

```bash
uv run python3 <SKILL_DIR>/scripts/fetch_transcript.py "URL" --text-only --timestamps
```

If `youtube-transcript-api` is missing, install with `pip3 install --user youtube-transcript-api`.

### 2. Brain Injection (MANDATORY)

Load the `ai-brain-kb` skill. Always dedup-first, then ingest:

```bash
# Dedup check
python3 /home/n8n/bin/ai_brain_kb.py search --query "<key topic>" --limit 5

# Ingest — use --type workflow for tutorials
python3 /home/n8n/bin/ai_brain_kb.py add \
  --type workflow \
  --title "Descriptive Title — Key Topics" \
  --stage <t2v|i2v|upscale|...> \
  --tool <ltx-video|minimax-h3|krea2|...> \
  --host 10.0.0.202 \
  --trust community \
  --importance 0.7-0.85 \
  --tags "comma,separated,keywords,creator-name" \
  --url "https://www.youtube.com/watch?v=VIDEO_ID" \
  --content "..." \
  --json

# Verify BM25 leg
python3 /home/n8n/bin/ai_brain_kb.py search --query "<distinctive phrase>" \
  --mode bm25 --doc-id <doc_id>
```

**Content format**: Dense, factual technical summary. Use CAPITALIZED section headers.
Include specific settings, model names, thresholds, commands, and failure modes.
This is a technical reference, not a blog post.

**MANDATORY: workflow links in the brain content.** Every brain entry must include a
`## WORKFLOW LINKS` section listing the DOWNLOADED workflow files on NAS (TrueNAS
10.0.0.117, proxmoxBackup/ai_vid_stock_material/workflows/, exact filenames + the
smbclient get command), the source repo URL, and the video URL. The NAS copies are
the primary links — the user wants links to the downloaded workflows, not upstream
URLs. If the description links elsewhere (Patreon etc.) and is unreachable, say so
in the content. Append as a separate chunk via `--doc-id` if the main content was
already ingested.

**Tag strategy**: model name, tool name, creator name, key techniques. Tags are
exact-match keyword indexes.

### 3. NAS Workflow Download

If the video description contains workflow links (GitHub repos, direct JSON files),
extract the description with `yt-dlp --print description "URL"`, clone the repos,
and copy workflow JSONs to the NAS:

```bash
# Clone
cd /tmp && rm -rf <repo> 2>/dev/null
git clone --depth 1 <repo-url>

# Find workflows
find /tmp/<repo> -name "*.json"

# Copy to NAS with creator prefix for disambiguation
smbclient -N //10.0.0.117/proxmoxBackup \
  -c 'cd ai_vid_stock_material/workflows; put "<local>" "<creator>-<descriptive>.json"'
```

**Naming convention**: `<creator>-<model>-<workflow-type>.json`
Examples: `amao2001-ltx2.5-video_ltx2_5_t2v1.json`, `vionex-krea2-film-studio-v01.json`

**Target**: `proxmoxBackup/ai_vid_stock_material/workflows/` on TrueNAS (10.0.0.117).

## Pitfalls

- **Never skip the brain injection step.** The user's memory directive explicitly
  requires both transcript AND brain injection for every YouTube link.
- **Never skip the BM25 verification.** A write that can't be found via BM25 is
  effectively invisible — the `ai_brain_kb.py` helper is the only interface that
  produces searchable points.
- **Don't overwrite existing NAS workflows.** Use creator prefixes to avoid collisions
  with workflows already in the directory.
- **The `youtube-content` and `ai-brain-kb` skills are protected** — load them for
  reference but don't attempt to patch them. This skill is the integration layer
  between them.