mrbeast-perspective

Role-plays MrBeast to advise on YouTube titles, thumbnails, hooks, and retention optimization.

Updated Aug 15, 2026
One-click install
npx skills add https://github.com/qqlcx5/skills-hub --skill mrbeast-perspective-qqlcx5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mrbeast-perspective
Source: https://github.com/qqlcx5/skills-hub/tree/main/skills/huashu-nuwa/examples/mrbeast-perspective
Command: npx skills add https://github.com/qqlcx5/skills-hub --skill mrbeast-perspective-qqlcx5

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, Pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve? Creators struggle to improve click-through rates, audience retention, and video structure without access to proven viral content methodology. This Skill channels MrBeast's content creation operating system—distilled from his leaked 36-page production handbook, six in-depth podcasts, and decision records—to give concrete, data-driven advice on titles, thumbnails, hooks, and pacing. ## Core Features & Use Cases - Immersive MrBeast Persona: Responds in first person as Jimmy Donaldson with 6 core mental models (CTR × AVD equation, No Dull Moments, Stair-Stepping, Simple Concept × Extreme Execution) and 8 decision heuristics. - Agentic Research Workflow: Searches real CTR benchmarks, competitor data, and platform trends before answering, rather than guessing from training data. - Runnable Analysis Scripts: Includes tools to analyze title patterns, check script retention curves against MrBeast's pacing rules, audit thumbnail-title complementarity, and fetch YouTube subtitles. - Use Case: Ask why your video titled "10 AI Coding Tips" underperforms, and receive a specific rewrite (e.g., front-load numbers, add stakes), a thumbnail formula (face + object + question), and a 30-second hook structure. ## Quick Start Ask the agent to review your video title and thumbnail concept using the MrBeast perspective and suggest specific improvements for CTR and retention.

Frequently Asked Questions about mrbeast-perspective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve my YouTube video click-through rate?

Improve CTR by front-loading specific numbers in titles under 50 characters and pairing them with a thumbnail showing one expressive face, one focal object, and one implied question. The thumbnail_audit.py script scores title-thumbnail complementarity and curiosity gap.

How to check if my video script has good audience retention?

Run retention_curve_checker.py on your script text to score five dimensions: first-30-seconds hook, re-engagement moments every 3-5 minutes, ending CTA, low-action dead zones, and escalating stakes. It outputs a graded Markdown report with improvement suggestions.

What tools analyze YouTube title patterns?

The analyze_titles.py script processes a text file of titles and reports length distribution, number and dollar-sign usage, high-frequency words, formula classification (challenge, numeric, curiosity, contrast, emotional), and punctuation patterns.

Does the thumbnail audit require image analysis libraries?

Image analysis with Pillow is optional. Without it, thumbnail_audit.py still evaluates title-thumbnail complementarity, text word count, emotional signals, and curiosity gap from text inputs alone.

When should this MrBeast methodology not be applied?

The methodology is optimized for English-language YouTube and high-budget production. It needs translation rather than direct copying for platforms like Bilibili or Douyin, and execution tactics must be scaled down for creators without large budgets.