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Content Blueprint

Turn Your Ideas Into Viral Social Content

aaaronmillerMay 2026

Master the deliberative refinement system to transform posts into scroll-stopping, shareable content that spreads.

Hook ArchitecturePlatform OptimizationAI Tell DetectionRefinement ProtocolResearch-Backed Formulas

Install Command

Run this command to deploy the blueprint to your environment.

What does this do

Your social content disappears because you post once and move on. Viral content requires deliberate refinement across multiple passes, but most creators don't know the architecture (hook patterns, platform mechanics, AI tells) that separates forgotten posts from ones that generate shares and discussion. You're leaving engagement on the table.

How It Works

You work through a deliberative refinement loop: generate a draft, attack it from audience perspectives (skeptic, expert, scroller), eliminate AI tells, apply platform-specific optimization, and repeat. The skill teaches you hook architecture patterns (Prediction+Stakes, Tribal Identity, Before/After), platform-specific templates (Reddit, LinkedIn, Twitter, TikTok), and the refinement protocol. Optional integration with humanize-writing for the final voice pass.

Included Skill Groups

Key Features

Hook Architecture

Master three viral hook patterns: Prediction+Stakes ("I think X is the 2026 Y that Z"), Tribal Identity Split (separates winners from everyone else), and Before/After Compression (complexity reduction gains)

Platform Optimization

Apply platform-specific templates and calibration for Reddit, Twitter/X, LinkedIn, YouTube, TikTok, Hacker News, and email—including subreddit-specific strategies and character constraints

AI Tell Detection

Identify and replace 100+ AI tells: transition tells ("Here's the thing"), enthusiasm tells ("I'm excited"), structure tells (numbered lists), engagement bait, corporate speak, and punctuation patterns

Refinement Protocol

Six adversarial passes: attack from skeptic, expert, scroller, competitor, and editor perspectives—plus thumbnail-specific refinement for video content

Research-Backed Formulas

Apply 40-source research basis: BuzzSumo headline optimization, Netflix thumbnail psychology (+35-50% CTR with faces), Outbrain negative superlatives study, academic viral mechanics

Key Features

Hook Architecture

Master three viral hook patterns: Prediction+Stakes ("I think X is the 2026 Y that Z"), Tribal Identity Split (separates winners from everyone else), and Before/After Compression (complexity reduction gains)

Platform Optimization

Apply platform-specific templates and calibration for Reddit, Twitter/X, LinkedIn, YouTube, TikTok, Hacker News, and email—including subreddit-specific strategies and character constraints

AI Tell Detection

Identify and replace 100+ AI tells: transition tells ("Here's the thing"), enthusiasm tells ("I'm excited"), structure tells (numbered lists), engagement bait, corporate speak, and punctuation patterns

Refinement Protocol

Six adversarial passes: attack from skeptic, expert, scroller, competitor, and editor perspectives—plus thumbnail-specific refinement for video content

Research-Backed Formulas

Apply 40-source research basis: BuzzSumo headline optimization, Netflix thumbnail psychology (+35-50% CTR with faces), Outbrain negative superlatives study, academic viral mechanics

Tools in this Blueprint

Claude logo
4.7(315 reviews)
humanize-writing skill (optional)

About This Blueprint

License
MIT
Industry
Technology
Skills
0 workflows, 0 sub-skills, 1 standalone