Skip to content
Content
Skill

/viral-text

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

From plugin
mikefluff-skills
2645 skills2 commands1 hook

Claude Code

$ npx -y skills add Mikefluff/skills --skill viral-text --agent claude-code

SKILL.md

viral-text.SKILL.md
name: viral-text
description: "Write viral social media content using the project's proven methodology — hooks, numbered points, NLP questions, CTA. Wraps `writer` (clean-prose engine)."
license: MIT
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob
  - WebSearch
  - WebFetch

<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 catalogue from [references/viral-rules.md](references/viral-rules.md) before drafting.

HOOK CRITERIA

Hooks must be 7-12 words, end with colon, contain one CAPS word, a bait bracket, a specific character + transfer verb, and spark burning curiosity without blaming the reader. Viral-specific banned constructions (Red/Green flags lists, CTA cliches like "write YES", cliche metaphors) live alongside the criteria. Full checklist + hook structure formula: [references/hook-criteria.md](references/hook-criteria.md).

RESEARCH (mandatory before writing)

Before generating content, ALWAYS research the topic via WebSearch + WebFetch to gather real facts, quotes, and insights. Organize into 3 buckets (FACTS / INSIGHTS / QUOTES), prefer recent and named sources, never fabricate. Full process + quality criteria + failure-mode handling: [references/research-workflow.md](references/research-workflow.md).

OUTPUT STRUCTURE

Step 0: RESEARCH

Run WebSearch queries, gather facts/insights/quotes. Show a brief summary to the user before the final text:

Research found:
- [2-3 key facts/insights that will be used]

Step 1: HOOK

Write a viral hook following the criteria above.

Step 2: BODY

Write the numbered points (default 5, user can specify 3-7):

  • Start IMMEDIATELY with "1. " — no titles, subtitles, or introductions
  • Each point: unique structure and emotion (quote / example / story / fact / data — each type in only ONE point)
  • Each point: 4-6 sentences
  • Empty line between each point
  • All points approximately the same length

Step 3: MICRO-CONCLUSION

After the last point, a SEPARATE paragraph: micro-conclusion/insight with an NLP question (1-2 sentences). NOT inside the last point — between it and CTA.

Step 4: CTA (Call to Action)

CTA = keyword + human call to dialogue.

  • Highlight the keyword with ==word==
  • NOT infobusiness style ("Send WORD to DM")
  • Human style: "If this resonates — write ==WORD==, let's figure it out"

Step 5: WRITER PASS (mandatory)

Apply the `writer` skill's 4-layer cleaning pass:

  • Layer 1: full neuroslop regex check (25 categories, ~80 patterns)
  • Layer 2: structural synthetics (staccato, double negations, "Просто ---" chunks, inversions, repetitions)
  • Layer 3: surgical patches
  • Layer 4: read-aloud final pass

In addition, run two viral-specific validations (Viral Layer A — hook, Viral Layer B — content + structure) and the "would I repost this?" final pass. Full validation checklist: [references/validation.md](references/validation.md).

**Delete the water, not the function.** The CTA and the micro-conclusion are working parts, not decoration — writer's default treatment is deletion, and a post that reads cleaner but asks for nothing has stopped doing its job. Treat them by replacement or simplification. After the pass, verify the CTA survived. See `forbidden-substitutions.md` in the `writer` skill.

If length exceeds limit — trim the longest point first, preserving CTA and micro-conclusion.

IMPORTANT: Do NOT show intermediate validation steps to the user. Only show the final clean text. The cleaning happens silently. If you had to make significant fixes, you may briefly note: "Cleaning fixed N issues" after the text.

PLATFORM ADAPTATION

Each platform has its own length limit, audience, and tone (Telegram 4096 chars / deep, Threads 500 / energetic, Instagram 2200 / emotional, Twitter 280 / sharp, LinkedIn 3000 / professional-alive, Facebook any / warm). Default: Telegram. Full table: [references/platforms.md](references/platforms.md).

FORMATTING

(Most typography enforced by writer. Viral-specific additions only.)

  • NO bold (**), NO italic (*), NO headers (#)
  • NO emojis in text
  • Numbering: "1. ", "2. " (digit, dot, space)
  • Empty line between each point
  • Structure in fullText: points → empty line → micro-conclusion with NLP question → empty line → CTA
  • CTA keyword highlighted as `==word==`

HOW TO USE

User says: `/viral-text [topic]` Optional params (user can specify inline):

  • Platform: telegram/instagram/threads/twitter/linkedin/facebook
  • Points: 3/5/7
  • Language: ru/en/es/pt
  • CTA word: any keyword
  • Free format: no numbering, just coherent p
Read more
@mikefluff
Ships withmikefluff-skills

45 skills for Claude Code that make content — and refuse to let it read like a machine made it. Prose editing that strips the tells. Prompt engineering for 40+ image, video and music models, with optional one-command execution against the real APIs.

Stars on GitHub

Momentum

stars in total
26
Star history of Mikefluff/skills on GitHub, a chart by star-history.com

Other skills on mikefluff-skills.

avatar-maker

avatar-maker

Turn a user photo into N profile-pic / headshot / avatar variants in a consistent style. Identity-preserve focused, defaults to…

bg-remover

bg-remover

Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default;…

canon-check

canon-check

Read-only story-bible auditor for fiction series with a documented canon. Cross-references character / artifact / location…

More skills from other plugins.

prompt-lookup

prompt-lookup

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…

@gh-f@gh-fInstall Skill
ppt-master

ppt-master

AI-driven presentation workflow for generating editable PPTX decks and slides, reconstructing page visuals, creating reusable…

@hugohe3@hugohe3Install Skill
morph-ppt

morph-ppt

Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style…

officecli11d33k
@iofficeai@iofficeaiInstall Skill

Questions about viral-text.

Which coding agents can use viral-text?
viral-text installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.