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.
A production-ready system for creating viral social content across all major platforms, with integrated AI tell detection and humanization.
| 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 |
| 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 |
Claude Code:
/plugin install viral-content-forgeClaude.ai:
- Create new Project
- Upload
SKILL.mdto Project Knowledge - Optionally add resource files
Create a viral Reddit post about [TOPIC].
Platform: r/MachineLearning
Target: technical audience who appreciates practical insights
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
If humanize-writing is unavailable, the skill includes a built-in humanization checklist.
- Prediction + Stakes patterns
- Tribal Identity Split patterns
- Before/After Compression patterns
- Reddit (subreddit-specific calibration)
- Twitter/X threads
- LinkedIn posts
- YouTube comments
- Hacker News
- 100+ AI tells with replacements (text, video, thumbnail)
- Platform-specific tells (TikTok, LinkedIn, Reddit, Email)
- Video script tells
- Thumbnail text tells
Six adversarial passes:
- The Skeptic
- The Expert
- The Scroller
- The Competitor
- The Editor
- NEW Thumbnail-specific passes
40 documented sources including:
- BuzzSumo (100M headlines)
- Netflix thumbnail personalization
- Outbrain negative superlatives study
- Academic viral content research
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...
✅ Do: Polish your own ideas, convert expertise to accessible content, learn viral mechanics
❌ Don't: Astroturf, spread misinformation, impersonate others, engagement farm without substance
| 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 |
- Optional: humanize-writing skill (for enhanced humanization pass)
For issues or feature requests, open an issue on the GitHub repository.