YouTube Digest Skill

Purpose: Deep video digestion for tactical learning + content repurposing
For: All agents (Lani, Meda, Persey)
Last updated: 2026-03-05

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Trigger Phrases

• "digest this video"
• "save this video for content"
• "extract from this video"
• "learn from this"
• "what's useful in this video"
• Any YouTube URL paste

Output Standard (Michael)

When asked to digest a video, optimize for time saved:

• Return specifics only (tools, workflows, prompts, skill/plugin names, implementation steps).
• Explicitly map findings to relevant pillar(s) and interests.
• If video is mostly generic, say so fast and label it low value.

Default answer shape must be concise + expandable:

1. Fast verdict (3–6 bullets) — what matters / what doesn't
2. Specifics extracted — concrete tools, steps, frameworks, commands
3. Useful for us? — yes/no + exactly where it applies
4. Deep dive (optional) — only when there is genuinely high-leverage detail

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Michael's Research Interests (Priority Order)

When digesting videos, prioritize content matching these interests:

1. AI Design for Marketing

What to extract:

• How to generate carousels with AI
• How to generate PDFs with AI
• AI-assisted design workflows
• Branded system creation with AI

Specifics needed:

• Exact prompts for design generation
• Tool names and when to use them
• Step-by-step: prompt → design output
• Design system keywords (tokens, components, etc.)

2. Agent Orchestration / Agent Decoding

What to extract:

• Workflow architectures (Step 1, Step 2, etc.)
• "If X then Y" tool mappings
• MCP usage patterns
• Skill plugin utilization
• Claude Code life hacks and advanced usage

Specifics needed:

• Specific skill names and what they do
• How to chain agents together
• Error handling patterns
• State management between agents

3. Prompt Engineering (All Types)

What to extract:

• UI design prompts
• Marketing content prompts
• Agent control prompts
• Framework names and structures

Specifics needed:

• Copy-pasteable templates with [BLANKS]
• Prompt construction workflows
• Specific keywords that change outputs

4. AI Creatorship (Images/Video)

What to extract:

• Tool-specific workflows
• Exact prompts with all parameters
• Advanced techniques (ControlNet, inpainting, etc.)

Specifics needed:

• "If I need [effect], use [tool]" mappings
• Complete prompt texts
• Settings and parameters

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Digestion Workflow

Default Engine (MANDATORY)

Always use Supadata first whenever Michael asks to digest a video.

Rule:

1. Use Supadata transcript/metadata endpoints as the primary ingestion path.
2. Do not start with yt-dlp, YouTube web scraping, or random transcript sites.
3. Only fallback away from Supadata if API/auth fails — and clearly state fallback was used.

Supadata Under-the-Hood Reference (embedded)

Auth: x-api-key: $SUPADATA_API_KEY

Primary endpoints for this skill:

• Transcript (default): GET /v1/youtube/transcript?url=<URL>&text=true&lang=en
• Transcript (timestamped): GET /v1/youtube/transcript?url=<URL>&text=false&lang=en
• Video metadata: GET /v1/youtube/video?id=<VIDEO_ID>
• Cross-platform metadata: GET /v1/metadata?url=<URL>
• Search (when needed): GET /v1/youtube/search?query=<QUERY>&type=video&sortBy=views

Fallback rule inside this skill:

• If /youtube/video fails due to ID/param mismatch, derive VIDEO_ID from URL and retry with id.
• If transcript unavailable in lang=en, retry without lang to use first available language.

Step 1: Fetch Video Metadata + Description

curl -s "https://api.supadata.ai/v1/youtube/video?id=<VIDEO_ID>" \
  -H "x-api-key: $SUPADATA_API_KEY"

Check description for:

• Links to prompts, templates, resources
• "Link in description" mentions
• Free downloads, swipe files

If external links found:

• Fetch with web_fetch
• Extract prompts, frameworks, templates
• Save to resources/ folder immediately

Step 2: Fetch Transcript

curl -s "https://api.supadata.ai/v1/youtube/transcript?url=<URL>&text=true" \
  -H "x-api-key: $SUPADATA_API_KEY"

Step 3: Fast Verdict

No-fluff filter: if you cannot extract copy-pasteable tactics, clearly mark video as low tactical value.

Reply to Michael in this format:

**[VIDEO TITLE]** — [Channel] (~Xmin)

**What it is:** [One sentence - what they make/show + tools used]

**Verdict:** USEFUL / PARTIAL / SKIP

**Why:**
• [Specific reason - what's non-obvious]
• [What's genuinely new]
• [What's missing/re-chewed]

**Interest Match:** [Which of Michael's interests this serves]
**Novelty:** High / Medium / Low
**Repurposable:** Yes / No — [why]

**Specific findings preview:**
• [Tool name]: [what it does]
• [Prompt/Workflow]: [brief description]
• [Technique]: [brief description]

Digest and save? (yes / skip / partial)

Step 4: Deep Digestion (if approved)

Extract ONLY:

• Specific tool names and versions
• Exact prompts (copy-paste ready)
• Step-by-step workflows
• "If X then Y" mappings
• Code snippets
• Command examples

Format:

## [Video Title] — Deep Digest

### Tools Mentioned
| Tool | Use Case | When to Use |
|------|----------|-------------|
| [name] | [what it does] | [specific scenario] |

### Prompts / Templates

[Exact prompt text with [BLANKS]]

**Context:** [when to use this]
**Key ingredients:** [what makes it work]

### Workflows
**[Workflow name]:**
1. [Step 1 - specific action]
2. [Step 2 - specific action]
3. [Step 3 - specific action]

### "If X Then Y" Mappings
| If you need... | Then use... | Steps |
|----------------|-------------|-------|
| [specific task] | [specific tool] | [brief steps] |

### Code / Commands
```bash
[exact commands shown]

Key Insights

• [Specific insight 1]
• [Specific insight 2]

Gaps / What's Missing

• [What wasn't covered]
• [What doesn't work]

### Step 5: Save to Learning Repository

**Location:** `~/work/laniameda/laniameda-hq/knowledge-base/sources/youtube/YYYY-MM-DD-slug/`

**Files to create:**

1. **meta.json**
```json
{
  "title": "...",
  "url": "...",
  "channel": "...",
  "date_processed": "YYYY-MM-DD",
  "interests": ["ai-design", "agent-orchestration", "prompt-engineering"],
  "verdict": "useful|partial|skip",
  "tools_mentioned": ["tool1", "tool2"],
  "repurposable": true,
  "marketing_angle": "brief description",
  "tags": []
}

2. digest.md — Full deep digestion
3. prompts.md — Extracted prompts/templates only
4. workflows.md — Step-by-step workflows only
5. tools.md — Tool mappings and comparisons

Step 6: Flag for Repurposing

If content is marketing-ready:

Create: ~/work/laniameda/laniameda-hq/knowledge-base/marketing-ready/YYYY-MM-DD-slug.md

# Marketing Angle: [Video Title]

**Source:** [URL]
**Original Pillar:** [Michael's content pillar]

## Our Angle
[How to reframe this for laniameda's voice/positioning]

## Key Takeaways to Share
- [Point 1]
- [Point 2]

## Content Formats
- [ ] X thread
- [ ] LinkedIn post
- [ ] Carousel
- [ ] PDF guide

## Original vs Our Version
| Element | Original | Our Version |
|---------|----------|-------------|
| [aspect] | [their approach] | [our approach] |

Step 7: Update This Skill

If new tools/workflows discovered:

1. Add tool to "Tools Reference" section below
2. Add workflow pattern to "Common Patterns"
3. Update "Michael's Research Interests" if new category discovered
4. Git commit with message: "skill: add [tool/workflow] from [video]"

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Tools Reference (Update as Discovered)

For Design/Marketing

| Tool | Purpose | Best For | |------|---------|----------| | v0.dev | UI generation | React components, landing pages | | Tempo | AI design | Marketing materials, brand assets | | Lovable | App prototyping | Quick mockups, demos | | Claude Artifacts | Component building | Interactive UI elements | | Canva AI | Design automation | Social posts, presentations |

For Agent Orchestration

| Tool | Purpose | Best For | |------|---------|----------| | OpenClaw | Agent framework | Multi-agent workflows | | Claude Code | Coding agent | Frontend, full-stack | | n8n | Workflow automation | Connecting tools | | Make.com | Automation | Visual workflow building |

For MCPs (Model Context Protocols)

| MCP | Purpose | Best For | |-----|---------|----------| | Browser Use | Web automation | Scraping, form filling | | GitHub | Code management | Repo operations | | Supadata | Video/data extraction | YouTube, social content | | Sequential Thinking | Reasoning | Complex problem solving |

For Content/Research

| Tool | Purpose | Best For | |------|---------|----------| | x-tweet-fetcher | X post extraction | Social research | | instagram-extract | IG content extraction | Visual research | | supadata | Video transcripts | YouTube digestion | | web_fetch | Page extraction | Article research |

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Common Patterns (Update as Discovered)

Pattern: AI Design Workflow

1. Start with prompt in [tool]
2. Iterate on output (2-3 rounds)
3. Export to [format]
4. Refine in [secondary tool]

Pattern: Agent Chaining

1. Agent 1: [task] → outputs [format]
2. Agent 2: takes [format] → does [task]
3. Agent 3: reviews → final output

Pattern: Content Repurposing

1. Extract from video → digest.md
2. Identify angle → marketing-ready/
3. Reframe for brand → content draft
4. Create asset → carousel/PDF/post

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Repurposing Rules

1. Extract thesis, not creator's products

   • Don't name-drop their tools
   • Use their insight, not their branding

2. Reframe for laniameda voice

   • Art + engineering + systems
   • Taste-driven, not volume-driven
   • Specific, not generic

3. Add our proof points

   • Use our agent examples
   • Reference our workflows
   • Show our results

4. Never copy-paste

   • Digest → understand → re-express
   • Our angle, their insight

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Checklist Before Delivering

• [ ] Specific tool names mentioned (not "AI tools")?
• [ ] Exact prompts extracted with [BLANKS]?
• [ ] Step-by-step workflows documented?
• [ ] "If X then Y" mappings created?
• [ ] Saved to KB with proper structure?
• [ ] Flagged for repurposing if marketing-ready?
• [ ] Skill updated with new tools/patterns?

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Readaptivity

Log feedback to: ~/work/laniameda/laniameda-hq/knowledge-base/profile/feedback-log.md

Format:

YYYY-MM-DD | [video slug] | [what was wrong] | [how to fix]

Update this skill after 3+ similar feedback patterns.

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This skill ensures: Every video becomes reusable IP for product and marketing.