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病毒式内容创作

GitHub: aaaronmiller/create-viral-content | Gitea: mc-skills/aaaronmiller--create-viral-content

中文摘要

将复杂想法转化为可传播的社交媒体内容，支持Reddit、Twitter、LinkedIn、YouTube等平台，内置AI特征检测与人性化处理、爆款标题公式、缩略图设计和六轮对抗性精炼流程。

标签

内容创作 社交媒体 病毒传播 AI写作 营销

README 原文

Viral Content Deliberative Refinement - Complete Package

Transform complex ideas into content that spreads. This skill codifies the refinement process that separates forgettable posts from ones that generate discussion, shares, and action.

What You're Getting

A production-ready system for creating viral social content across all major platforms, with integrated AI tell detection and humanization.

File Manifest

Core Files

File Size Purpose
SKILL.md ~11 KB Complete viral content framework
README.md This file Package overview
marketplace.json ~1 KB Anthropic marketplace manifest
VALIDATION-REPORT.md ~15 KB 10-persona adversarial validation

Resources (resources/ folder)

File Purpose
ai-tells.md Comprehensive AI detection guide with human alternatives
platform-templates.md Platform-specific templates (Reddit, LinkedIn, Twitter, YouTube, TikTok, Email)
refinement-protocol.md Adversarial refinement passes for text and thumbnails
humanize-integration.md Integration with humanize-writing skill
viral-titles.md Title psychology, formulas, and scoring
viral-thumbnails.md Thumbnail design psychology and checklist
NEW research-statistics.md Consolidated data from 40 research sources
NEW title-formulas.md 50+ title formulas with examples
NEW thumbnail-checklist.md Quick-reference thumbnail design checklist

Quick Start

Installation

Claude Code:

/plugin install viral-content-forge

Claude.ai:

  1. Create new Project
  2. Upload SKILL.md to Project Knowledge
  3. Optionally add resource files

Basic Usage

Create a viral Reddit post about [TOPIC].
Platform: r/MachineLearning
Target: technical audience who appreciates practical insights

Integration with humanize-writing Skill

This skill integrates with the humanize-writing skill for the final polish pass. When both skills are installed, viral-content-forge automatically invokes humanize-writing to:

  • Remove AI vocabulary tells
  • Ensure natural sentence rhythm
  • Maintain viral hooks while sounding human

Manual Fallback

If humanize-writing is unavailable, the skill includes a built-in humanization checklist.

Key Features

Hook Architecture

  • Prediction + Stakes patterns
  • Tribal Identity Split patterns
  • Before/After Compression patterns

Platform Optimization

  • Reddit (subreddit-specific calibration)
  • Twitter/X threads
  • LinkedIn posts
  • YouTube comments
  • Hacker News

AI Tell Detection

  • 100+ AI tells with replacements (text, video, thumbnail)
  • Platform-specific tells (TikTok, LinkedIn, Reddit, Email)
  • Video script tells
  • Thumbnail text tells

Refinement Protocol

Six adversarial passes:

  1. The Skeptic
  2. The Expert
  3. The Scroller
  4. The Competitor
  5. The Editor
  6. NEW Thumbnail-specific passes

Research Basis

40 documented sources including:

  • BuzzSumo (100M headlines)
  • Netflix thumbnail personalization
  • Outbrain negative superlatives study
  • Academic viral content research

Examples

Before (AI-generated):

I'm excited to share a revolutionary new approach to prompt engineering. Here's the thing: traditional single-pass prompting is limited...

After (humanized viral):

I think deliberative refinement is the 2026 prompt technique that matters most. The core idea: you don't ask AI for an answer—you make it defend one...

Ethical Framework

✅ Do: Polish your own ideas, convert expertise to accessible content, learn viral mechanics

❌ Don't: Astroturf, spread misinformation, impersonate others, engagement farm without substance

Version & Compatibility

Field Value
Version 2.0.0
Created December 2025
Updated December 2025
Author Ice-ninja
License MIT
Compatibility Claude.ai, Claude Code, Claude API
Research Sources 40 documented

Dependencies

  • Optional: humanize-writing skill (for enhanced humanization pass)

Support

For issues or feature requests, open an issue on the GitHub repository.