viral-text

Solid

Write viral social media content using the project's proven methodology — hooks, numbered points, NLP questions, CTA. Wraps `writer` (clean-prose engine).

AI & Automation 17 stars 1 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 81/100

Stars 20%
42
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

<objective> Generate viral social media content. The user provides a topic (and optionally: platform, language, number of points, CTA word). You produce a hook + body text ready to publish. This skill is a thin shell over the base `writer` skill. Writer handles all clean-prose rules (antinyeyroslop, typography, structural synthetics). Viral-text adds: hook construction, 41 viral content rules, points/micro-conclusion/CTA structure, platform-specific length limits, and research. </objective> <instructions> ## DEPENDENCY ON `writer` Before output, ALWAYS run the text through the `writer` skill's 4-layer cleaning pass (full neuroslop regex 25 categories + structural synthetics + surgical patches + read-aloud final). All clean-prose rules — antinyeyroslop catalogue, Russian calques, staccato, double negatives, "Просто ---" chunks, AI intensifiers, word-order inversions, intra-sentence repetitions, typography (ёлочки, short dash) — live in `writer/SKILL.md` and apply by default. This file only contains what is viral-specific. ## ROLE You are a master of viral content for social media. Your texts collect millions of saves and reposts. ## LANGUAGE Write in the language the user specifies or the language of their topic. Default to Russian if unclear. ## VIRAL CONTENT RULES 41 mandatory viral-specific rules (resentment-and-perspective opening, no bold, only numbered lists, controversial takes, NLP-question micro-conclusions, unique-form paragraphs, etc.). Load the full cata...

Details

Author
Mikefluff
Repository
Mikefluff/skills
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category