youtube-strategy

Provides strategic up to date guidance for developing high-leverage youtube content and strategic development. Use this skill when the user asks about youtube strategy, generating youtube scripts or youtube content.

$ 安裝

git clone https://github.com/alavida-ai/agonda-skills /tmp/agonda-skills && cp -r /tmp/agonda-skills/youtube-strategy ~/.claude/skills/agonda-skills

// tip: Run this command in your terminal to install the skill


name: youtube-strategy description: Provides strategic up to date guidance for developing high-leverage youtube content and strategic development. Use this skill when the user asks about youtube strategy, generating youtube scripts or youtube content.

YouTube Strategy Skill

Name: YouTube Strategy Version: 1.0 Last Updated: 2025-11-12 Source: Paddy Galloway methodology via NotebookLM (23 query synthesis)


Trigger Conditions

Invoke this skill when:

  • User asks about YouTube strategy, optimization, or growth
  • User requests thumbnail or title improvement
  • User wants to analyze video performance or diagnose underperformance
  • User needs channel growth guidance or long-term strategy
  • User asks about YouTube algorithm, ranking signals, or discovery mechanics
  • User requests help with video structure, hooks, or retention tactics
  • User needs packaging (thumbnail + title + hook) alignment guidance
  • User needs SEO or discoverability tactics for YouTube
  • User requests content type-specific advice (educational, entertainment, documentary, etc.)
  • User asks about publishing strategy, cadence, or upload timing

DO NOT invoke if:

  • User asks for general video/filmmaking advice (not YouTube-specific)
  • User needs technical equipment recommendations
  • User asks for video script writing (content creation, not strategy)
  • User asks about YouTube monetization/revenue

Overview

YouTube success is not about production quality—it's about pre-production strategy. YouTube is a "click and watch" platform (like Netflix), not social media. Success requires optimizing two distinct actions:

  1. The Click - Driven by packaging (title + thumbnail)
  2. The Watch - Driven by content quality and retention

Core Insight: Packaging accounts for 40-60% of video success, with non-linear, exponential returns. A 20% title improvement can yield 100x more views.

This skill provides tactical, data-driven guidance for:

  • Video packaging optimization (thumbnails, titles, hooks)
  • Content structure and retention tactics
  • YouTube algorithm mechanics and discovery optimization
  • Analytics interpretation and performance diagnosis
  • Channel growth strategy (12-month framework)
  • Publishing strategy and audience activation
  • Audience psychology and viewer motivation

Core Mental Models

The YouTube Algorithm Model

Success Formula: CTR + Retention = Algorithmic Promotion

Ranking Signals (Hierarchy):

  1. CTR (Click-Through Rate) - First 24 hours predicts long-term success
  2. Retention/AVD - Small improvements (5%) = massive view impact (1M → 3M views)
  3. Viewer Satisfaction - Like/dislike ratio, comment sentiment
  4. Session Time - Watch duration + follow-on viewing behavior

Traffic Sources:

  • Primary: Browse + Suggested videos (70-80% of viewership)
  • Secondary: Search (evergreen long-tail benefit)
  • Strategy: Optimize for browse/suggested via CCN Fit and packaging, gain search as byproduct

Key Principle: Algorithmic meritocracy—quality content gets promoted when packaging is strong. Weak packaging = weak ceiling, no matter how good the content.

Viewer Decision-Making Psychology

3-Second Glance Test: Thumbnail must be instantly processable in milliseconds at mobile size. Requires clarity, contrast, simplicity.

7-Second Click Confirmation: First 7 seconds of video must confirm the packaging promise. If viewer feels they made the wrong click, they leave.

30-Second Hook Introduction: Introduce a NEW curiosity loop within first 30 seconds to incentivize full watch. Don't just explain first 30 seconds—create next reason to keep watching.

Value Perception: Viewers remember if you waste their time. Deliver on the promise made in packaging, respect viewer's decision to click.

CCN Fit Framework (Core, Casual, New)

Core Viewers: Hardcore fans who consume all your content. Accept niche-specific language, deep expertise dives. Limited growth potential—can't expand audience by only satisfying Core.

Casual Viewers: Dip in and out selectively. Need broader appeal than pure niche. Bridge to sustainable growth.

New Viewers: Potential audience, no prior relationship. Require universal appeal, clear value proposition. Essential for channel growth.

Growth Truth: Growing a channel requires expanding New viewer appeal, not just satisfying Core. Videos with pure Core focus plateau quickly.


Strategic Principles

Principle 1: Pre-production Allocation (30% / 70% Split)

Traditional time allocation: 95% production, 5% packaging. Optimal allocation: 30% ideation/packaging, 70% production.

Within Production:

  • First minute receives 20-30% of total editing time
  • Hook section is proportionally the most edited

Packaging includes:

  • Ideation (100+ ideas/week with strict elimination criteria)
  • Title development (write 30-40 variations)
  • Thumbnail design (3+ variations)

Principle 2: Promise → Delivery → Payoff Architecture

Packaging (Title + Thumbnail) = Sets Expectation Hook (First 30 sec) = Confirms the promise ("respect the click") Body = Delivers promised value Payoff = Satisfies viewer expectation

Misalignment kills performance:

  • High CTR + Low AVD = Packaging over-promises, content under-delivers
  • Low CTR + High AVD = Great content, poor packaging

Principle 3: Exponential Returns from Packaging

Small packaging improvements compound non-linearly:

  • 20% title improvement = 100x view increase
  • Glance test pass = milliseconds matter
  • Every detail matters (color, contrast, text, composition)

Idea Elimination Criterion: Can you think of a good title and thumbnail for this idea? If no → scrap it.

Principle 4: Data-Driven Iteration (Sniper Approach)

3-Phase Framework:

  1. Establishment (Months 1-4): Volume (2x/week), skill-building, narrow niche focus
  2. Improvement (Months 5-8): Quality over quantity (1x/week), 100 ideas/week, 3+ thumbnails per video
  3. Optimization (Months 9-12): Sniper approach—replicate top 10% performing formats

Core Process:

  • Study your best performers (outlier analysis)
  • Identify successful patterns
  • Create variations on winning formats
  • A/B test improvements
  • Iterate based on data

Principle 5: 80% Overlap Rule (Bingeability)

Videos with 80%+ audience overlap create bingeability:

  • Suggested traffic increases when viewers can watch multiple videos
  • Session time improves
  • Content coherence matters

Strategy: Maintain 80%+ audience overlap across your channel while allowing 10-20% experimentation slots.


Workflow Orchestration

Path 1: Creating a New Video from Scratch

  1. Start: references/video-structure.md - Understand Hook-Body-Payoff framework
  2. Load: references/packaging-synergy.md - Align thumbnail + title + hook
  3. Load type-specific: references/content-structure-by-type.md - Educational? Entertainment? Documentary?
  4. Optimize discovery: references/youtube-seo-tactics.md OR references/discovery-optimization.md - TAM research, keyword strategy, suggested video optimization
  5. Finalize packaging: references/thumbnail-tactics.md + references/title-tactics.md - Implementation details

Path 2: Diagnosing Underperforming Video

  1. Start: references/analytics-framework.md - Identify the issue (CTR? AVD? Both?)
  2. If Low CTR: references/thumbnail-tactics.md + references/title-tactics.md - Packaging is the issue
  3. If Low AVD: references/hook-tactics.md + references/retention-tactics.md - Content/structure is the issue
  4. If Both Low: references/video-structure.md + references/packaging-synergy.md - Fundamental misalignment
  5. Iterate: references/testing-iteration.md - A/B test improvements

Path 3: Growing a Channel

  1. Start: references/audience-growth.md - Niche validation (triple Venn), CCN Fit, TAM
  2. Understand: references/audience-psychology.md - What drives your audience? What makes them subscribe?
  3. Plan: references/channel-strategy.md - 12-month growth framework, content buckets, 80% overlap strategy
  4. Publish: references/publishing-strategy.md - Phase-based cadence evolution
  5. Iterate: references/testing-iteration.md + references/analytics-framework.md - Data-driven improvement

Path 4: Understanding YouTube Platform

  1. Start: references/algorithm-mechanics.md - How YouTube's algorithm works
  2. Then: references/platform-dynamics.md - Platform incentives, success patterns
  3. Then: references/audience-psychology.md - Viewer behavior and motivation
  4. Load tactical domains as needed for specific optimization questions

Path 5: Optimizing Packaging (Most Common)

  1. Start: references/packaging-synergy.md - Thumbnail + title + hook alignment
  2. Thumbnail deep dive: references/thumbnail-strategy.mdreferences/thumbnail-tactics.md
  3. Title deep dive: references/title-strategy.mdreferences/title-tactics.md
  4. Hook connection: references/hook-tactics.md - First 7 seconds execution
  5. Test: references/testing-iteration.md - A/B testing methodology

Reference Index

Foundational Understanding (Start Here for Platform Knowledge)

Packaging Optimization (Thumbnail, Title, Hook Alignment)

  • thumbnail-strategy.md - Core thumbnail principles (Three Focus Area Rule, Glance Test, psychological triggers)
  • thumbnail-tactics.md - Implementation details (color psychology, composition, A/B testing)
  • title-strategy.md - Core title principles (human-first philosophy, curiosity gaps, 30-40 iteration standard)
  • title-tactics.md - Implementation details (power words, formula library, character optimization)
  • packaging-synergy.md - Integration of thumbnail + title + hook (promise-delivery alignment)

Video Structure & Content Creation

  • video-structure.md - Hook-Body-Payoff architecture, first minute importance, retention killers
  • content-structure-by-type.md - Type-specific frameworks (educational, entertainment, documentary, listicles, long-form, interviews)
  • hook-tactics.md - Hook construction, first 7 seconds execution, curiosity creation
  • retention-tactics.md - Mid-roll engagement, pacing strategies, pattern interrupts, payoff loops

Discovery & SEO Optimization

Analytics & Iteration

Channel Management

Meta-Learning & Examples

  • case-studies.md - Real-world success examples (Red Bull F1, Astrophotography, UN Sahara, etc.), tactical takeaways
  • common-mistakes.md - Failure patterns (packaging mistakes, retention killers, SEO mistakes, mindset errors), prevention strategies

Quick Decision Trees

"My video isn't performing. What do I fix?"

Step 1: Check analytics

Step 2: Apply fixes from appropriate reference documents

Step 3: Test improvements using testing-iteration.md

"I'm starting a YouTube channel. Where do I begin?"

  1. Validate your niche using audience-growth.md (triple Venn framework)
  2. Understand your audience with audience-psychology.md
  3. Create your first video following video-structure.md + content-structure-by-type.md
  4. Optimize packaging with packaging-synergy.md
  5. Follow publishing strategy in publishing-strategy.md (Establishment phase = 2x/week)
  6. Iterate based on analytics-framework.md

"How do I scale from 10K to 100K subscribers?"

  1. Review your growth stage in channel-strategy.md (you're in Improvement phase)
  2. Identify your top 10% performing videos (outlier analysis)
  3. Replicate winning formats (sniper approach in testing-iteration.md)
  4. Ensure 80% audience overlap for bingeability (discovery-optimization.md)
  5. Maintain phase-based cadence (1x/week in Improvement phase) per publishing-strategy.md
  6. Optimize packaging for New viewer appeal (packaging-synergy.md + CCN Fit)

Assets Available

Checklists: Quick reference before publishing

  • assets/packaging-checklist.md - Thumbnail, title, hook verification
  • assets/elimination-criteria.md - Idea validation framework
  • assets/video-creation-checklist.md - Full video quality assurance

Templates: Worksheets for analysis and planning

  • assets/thumbnail-evaluation.md - Thumbnail design and testing
  • assets/title-variation-worksheet.md - Generate and score 40 title variations
  • assets/retention-curve-analysis.md - Analyze drop-off points

Frameworks: Tools for decision-making

  • assets/ccn-fit-assessment.md - Evaluate Core/Casual/New viewer appeal
  • assets/tam-calculator.md - TAM research workflow

Decision Trees: Navigation guides

  • assets/content-type-selector.md - Which content type reference to use
  • assets/workflow-selector.md - Which workflow path to follow

Core Principles Summary

  1. Pre-production matters more than production (30% / 70% allocation)
  2. Packaging drives 40-60% of success (exponential returns)
  3. Click + Watch are separate problems (packaging vs content quality)
  4. Small improvements compound (20% better = 100x views)
  5. Data-driven iteration beats guessing (study outliers, replicate, test)
  6. CCN Fit determines growth potential (Core, Casual, New balance)
  7. First impression is everything (3-sec glance, 7-sec click, 30-sec hook)
  8. Quality over quantity post-establishment (2x/week → 1x/week → strategic)
  9. 80% overlap creates bingeability (session time, suggested traffic)
  10. Respect viewer's time (deliver on promise, avoid retention killers)

Next Steps

  1. Identify your situation - Creating new video? Optimizing existing? Growing channel?
  2. Follow the appropriate workflow path - See "Workflow Orchestration" section above
  3. Load the relevant reference documents - Progressive disclosure as you need depth
  4. Use assets - Checklists, templates, frameworks to streamline implementation
  5. Measure and iterate - Use analytics and A/B testing to improve

Remember: YouTube success is systematic. Follow the frameworks, measure results, iterate based on data.


This skill synthesizes Paddy Galloway's YouTube strategy methodology through systematic knowledge extraction. All guidance is data-driven and pattern-tested across multiple niches.