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youtube-rl-tracker

@different-ai/zero-finance
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Track YouTube video performance for "poor man's reinforcement learning" - learn what thumbnails, titles, and hooks work

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name youtube-rl-tracker
description Track YouTube video performance for "poor man's reinforcement learning" - learn what thumbnails, titles, and hooks work
license MIT
compatibility opencode
metadata [object Object]

What I Do

Track YouTube video performance to discover patterns in what works. This is "poor man's reinforcement learning" - manually logging outcomes to improve over time.

The RL Loop

1. PUBLISH  -> Upload video with hypothesis (thumbnail style, title hook, topic)
2. WAIT     -> Let it run for 48-72 hours
3. LOG      -> Record in Notion with views, CTR, retention
4. ANALYZE  -> Compare winners vs losers
5. REPEAT   -> Apply learnings to next video

Key Insight from First Data Point

Video 1: "Using AI agents to pay bills and send invoices"

  • 8 views in 1 day
  • Plain talking head thumbnail
  • Generic title

Video 2: "Paying My Contractor Through Claude | AI-Powered Finance"

  • 133 views in 5 days (16x better!)
  • Thumbnail shows: Face + Product UI overlay + Text "I Let AI Pay My Bills"
  • Title has: Specific action + Brand name (Claude) + Category tag

What Made Video 2 Win:

  1. Thumbnail has TEXT overlay - "I Let AI Pay My Bills" creates curiosity
  2. Shows the PRODUCT - UI screenshot proves it's real, not just talk
  3. Face + Context - Person looking at the UI, not just talking
  4. Specific title - "Paying My Contractor" > "pay bills" (concrete vs abstract)
  5. Brand name in title - "Claude" attracts AI-interested audience
  6. Category tag - "AI-Powered Finance" helps discoverability

Hypothesis to Test:

Thumbnails with TEXT + PRODUCT UI + FACE outperform plain talking head thumbnails by 10x+

Database Schema

Core Fields (Outcomes)

Property Type Purpose
Title title Video title
Views number Total views
CTR number Click-through rate (%)
Retention number Average view duration (%)
Days Live number Days since publish
Views/Day formula Views / Days Live
Worked? checkbox Binary gut-check - was this a win?

Input Features (What You Controlled)

Property Type Options
Thumbnail Style select Talking Head, Face+UI, Face+Text, UI Only, Meme
Has Text checkbox Does thumbnail have text overlay?
Has Product checkbox Does thumbnail show the product/UI?
Title Hook select How-To, Story, Listicle, Question, Bold Claim
Has Brand checkbox Does title mention a brand (Claude, ChatGPT)?
Topic select AI Finance, Automation, Product Demo, Tutorial
Duration number Video length in minutes
Posted date When published

Reference Fields

Property Type Purpose
URL url Link to video
Thumbnail files Screenshot of thumbnail
Notes rich_text Why did it work/fail?

First Entry: The Baseline

Video 1 (LOSER):
- Title: "Using AI agents to pay bills and send invoices"
- Views: 8
- Days Live: 1
- Thumbnail Style: Talking Head
- Has Text: No
- Has Product: No
- Title Hook: How-To
- Has Brand: No
- Notes: Plain talking head, generic title, no visual hook

Video 2 (WINNER):
- Title: "Paying My Contractor Through Claude | AI-Powered Finance"
- Views: 133
- Days Live: 5
- Views/Day: 26.6
- Thumbnail Style: Face+UI
- Has Text: Yes ("I Let AI Pay My Bills")
- Has Product: Yes (shows invoice payment UI)
- Title Hook: Story
- Has Brand: Yes (Claude)
- Notes: Text overlay creates curiosity, UI proves it's real, specific action in title

Thumbnail Patterns to Test

Based on initial data:

Pattern Example Hypothesis
Face + UI + Text Video 2 Best performer - proves reality + creates curiosity
Face + Bold Text - May work for controversial takes
UI Only - Good for tutorials, may lack personality
Talking Head Video 1 Worst - no visual hook
Before/After - Good for transformation content

Title Patterns to Test

Pattern Example Hypothesis
Specific Action + Brand "Paying My Contractor Through Claude" Winner - concrete + searchable
Generic Action "Using AI to pay bills" Loser - too vague
Question "Can AI Really Pay Your Bills?" Untested - may drive curiosity
Number + Outcome "I Automated 5 Hours of Finance Work" Untested - quantified value

Weekly Review Process

  1. Sort by Views/Day - normalize for time live
  2. Filter by Worked? = true - what patterns emerge?
  3. Group by Thumbnail Style - which visuals win?
  4. Group by Title Hook - which hooks work?
  5. Compare Has Text vs No Text - does text help?
  6. Compare Has Brand vs No Brand - do brand names help?

Integration with YouTube Studio Skill

Use skill("youtube-studio") to:

  • Upload new videos with test hypotheses
  • Update thumbnails based on learnings
  • Track which changes improve performance

Reference Image

The winning thumbnail (133 views) vs losing thumbnail (8 views):

YouTube Comparison

Key visual differences:

  • Winner: Face looking at UI, text overlay "I Let AI Pay My Bills", product screenshot visible
  • Loser: Plain talking head against brick wall, no text, no product context