Agent skill

Create Viral Content

by aAAaqwq in aAAaqwq/AGI-Super-Team

This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X…

MITAuto-check passedWriting & Content

Install Create Viral Content

skills CLI
$ npx skills add aAAaqwq/AGI-Super-Team --skill create-viral-content -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aAAaqwq/AGI-Super-Team create-viral-content --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/create-viral-content .claude/skills/create-viral-content && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
create-viral-content
GitHub stars
105
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,493 words
Files
10
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X…

  • Works in 5 steps: Generate initial draft → Attack it from audience perspectives → Identify AI tells and weak points → …
  • Generating content for social media platforms including Reddit posts
  • SKILL.md covers Research Basis, Core Principle: The…, The Anatomy of Viral Content and AI Tell Detection and…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Create Viral Content is an agent skill from aAAaqwq/AGI-Super-Team. This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X threads, LinkedIn posts, YouTube videos/comments, TikTok scripts, Instagram posts/reels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: "make this viral", "social media post", "catchy headline", "hook", "engagement", "shareable", "go viral", "attention-grabbing"…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files (for example `resources/ai-tells.md`, `resources/humanize-integration.md` and `resources/platform-templates.md`).

It sits in Writing & Content, covering Social media posts and Video scripts and shorts. It works with Reddit, Instagram, X (Twitter) and YouTube. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

  • Generating content for social media platforms including Reddit posts
  • Twitter/X threads
  • YouTube videos/comments
  • Instagram posts/reels

Example prompts

  • “make this viral”
  • “social media post”
  • “catchy headline”
  • “/create-viral-content”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Generate initial draft
  2. Attack it from audience perspectives
  3. Identify AI tells and weak points
  4. Refine with human voice
  5. Repeat until unbreakable

What it can do on your machine

Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Create Viral Content loads about 3.6k tokens when it runs. Until then it costs about 177 tokens; SKILL.md has 1,493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~177
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its MIT licence (© aAAaqwq). 1,493 words, ~3,591 tokens.

Download SKILL.mdSave it as .claude/skills/create-viral-content/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
create-viral-content
description
This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X threads, LinkedIn posts, YouTube videos/comments, TikTok scripts, Instagram posts/reels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: "make this viral", "social media post", "catchy headline", "hook", "engagement", "shareable", "go viral", "attention-grabbing", "clickable", "scroll-stopping", "title ideas", "hot take", "more engaging", "subreddit", "thread". Apply to any AI-generated content facing public audience or hostile perception.
license
MIT
metadata
author: ice-ninja version: "2.1"

⚠️ BEFORE USING THIS SKILL: Review all files in the resources/ directory. These contain AI tell catalogs, platform templates, refinement protocols, and 40-source research basis required for proper skill execution.

Research Basis

This skill synthesizes findings from 40 documented research sources:

  • BuzzSumo: 100M headlines study → optimal length is 11 words/65 characters
  • Outbrain: Negative superlatives outperform positive by 63%
  • Netflix: 82% of browsing time on thumbnails, 1.8s decision window
  • Face Psychology: +35-50% CTR with faces in thumbnails
  • A/B Testing Research: 30-40% CTR improvement over time

Full statistics in resources/research-statistics.md.

Create Viral Content

Make your posts spread. This skill turns forgettable drafts into content that gets shares, comments, and action.

Core Principle: The Deliberative Refinement Loop

Good content doesn't come from one pass. You attack it, fix it, attack again:

  1. Generate initial draft
  2. Attack it from audience perspectives
  3. Identify AI tells and weak points
  4. Refine with human voice
  5. Repeat until unbreakable

The Anatomy of Viral Content

Hook Architecture (First 2 Seconds)

Pattern: Prediction + Stakes

"I think [CONCEPT] is the [YEAR] [CATEGORY] that [OUTCOME]."

Example: "I think deliberative refinement is the 2026 prompt technique that matters most."

Why it works:

  • "I think" = personal conviction, not corporate announcement
  • Year = creates FOMO and timeframe
  • Category = helps reader self-identify
  • Outcome = stakes that matter

Pattern: Tribal Identity Split

"[TECHNIQUE] separates [WINNERS] from [EVERYONE ELSE]."

Example: "This separates serious builders from prompt tourists."

Why it works:

  • Creates in-group/out-group
  • Reader immediately picks a side
  • Ego investment drives engagement

Pattern: Before/After Compression

"What used to require [OLD COMPLEXITY] now [NEW SIMPLICITY]."

Example: "What used to need 12 models chained together now takes one."

Why it works:

  • Concrete efficiency gain
  • "I had no idea" response
  • Shareable stat
Body Structure: The Build

Required elements (in order):

  1. WHAT - Explain the concept (1-2 sentences max)
  2. HOW - The mechanic with concrete examples
  3. WHY NOW - The breakthrough that makes it possible
  4. PAYOFF - What you can actually build/achieve

Anti-patterns to avoid:

  • Starting with "why it matters" before explaining "what it is"
  • Generic benefits without specific mechanics
  • Selling the sizzle before showing the steak
Closer Architecture (Last 10%)

Pattern: Command, Not Request

BAD: "Try it. Change my mind."  (beggy, engagement bait)
GOOD: "Your next [ACTION] shouldn't [OLD WAY]. It should [NEW WAY]."

Example: "Your next prompt shouldn't ask for an answer. It should demand: 'Attack this from three expert perspectives, ground your claims, then revise.'"

Why the command works:

  • Ends on authority, not weakness
  • Gives immediate actionable next step
  • Mirrors the thesis in its structure

AI Tell Detection and Elimination

Kill these on sight:

Transition Tells
  • ❌ "Here's the wild part:"
  • ❌ "Here's the thing:"
  • ❌ "Let's dive in"
  • ❌ "But here's the kicker:"
  • ✅ Direct statement with no transition needed
Enthusiasm Tells
  • ❌ "I'm excited to share"
  • ❌ "This is a game-changer"
  • ❌ "Revolutionary"
  • ✅ Let the content create excitement
Structure Tells
  • ❌ Numbered lists for everything
  • ❌ "First... Second... Finally..."
  • ❌ "In conclusion"
  • ✅ Prose that flows naturally
Engagement Bait Tells
  • ❌ "Change my mind"
  • ❌ "What do you think?"
  • ❌ "Let me know in the comments"
  • ✅ Strong closer that doesn't ask for permission
Corporate Speaks
  • ❌ "Leverage"
  • ❌ "Utilize"
  • ❌ "Implement solutions"
  • ✅ Plain verbs: use, try, build, ship
Punctuation Tells (2024-2025)
  • ❌ Em-dash overuse — like this — everywhere (max 1 per 500 words)
  • ❌ Paragraphs starting with "However," "Moreover," "Overall,"
  • ❌ Pleonasms: "true fact," "end result," "close proximity"
  • ❌ Tautologies: "collaborate together," "revert back"
  • ❌ Uniform sentence lengths (all 15-18 words)
  • ✅ Vary punctuation, sentence length, and structure

Platform-Specific Optimization

Reddit

Title patterns that work:

  • Hot Take: [Contrarian Position]
  • [Technique]: Why [Common Practice] is dead in [YEAR]
  • The [category] technique that [concrete result]
  • Stop [old behavior]. [New behavior] is the [year] meta.

Body guidelines:

  • 200-400 words optimal
  • Use bold for section headers sparingly
  • End with TL;DR that's actually quotable
  • Don't ask "what do you think?" - invite specific discussion

Subreddit calibration:

  • r/MachineLearning: Technical, invite discussion, conservative claims
  • r/ChatGPT: Practical, show the meta shift, power-user focus
  • r/singularity: Hype-friendly, maximum viral coefficient
  • r/LocalLLaMA: Add self-hosting angle
  • Hacker News: "Show HN:" format, understate rather than overstate
YouTube Comments

Constraints: ~500 chars, must hook in first line, no formatting Pattern:

[Bold claim in first sentence]. [Mechanic in 2 sentences]. [Why now]. [Call to action or quotable closer].
Twitter/X Threads

Thread structure:

  1. Hook tweet (standalone viral potential)
  2. "Here's how:" transition
  3. 3-5 mechanic tweets
  4. Payoff/result tweet
  5. Call-to-action tweet

Per-tweet rules:

  • Each tweet must standalone
  • No "1/" numbering (algorithmic penalty)
  • Use line breaks for readability
  • End threads with something quotable
LinkedIn

Patterns that perform:

  • Personal story + professional lesson
  • "Unpopular opinion:" framing
  • Contrarian take on industry norm
  • Before/after transformation

Avoid:

  • Pure promotional content
  • Asking for engagement explicitly
  • Hashtag stuffing
TikTok

Hook constraints: 1-3 seconds to capture, sound-off viewing common

High-performing hooks:

  • Curiosity: "Most people don't know [surprising fact]..."
  • Problem: "If you struggle with [problem], watch this..."
  • Result: "I tried [thing] for [time]. Here's what happened..."
  • Controversy: "This is why everyone is wrong about [topic]..."

Caption optimization:

  • Keywords in first 3 words
  • 5-10 words optimal
  • Hashtags at end, not stuffed
Instagram Reels

Constraints: Vertical 9:16, auto-play, first frame critical

Thumbnail (cover) matters less than:

  • First frame visual hook
  • Text overlay in first 2 seconds
  • Pattern interrupt opening

Carousel posts:

  • First slide: Hook with curiosity gap
  • Middle slides: Value delivery
  • Last slide: Quotable statement or CTA
Email Subject Lines

Optimal length: 30-50 characters (mobile-first)

High-performing patterns:

  • Curiosity: "Is this why your [metric] is stuck?"
  • Personal: "[Name], noticed you haven't tried this"
  • Value: "Get 2x [outcome] with one tweak"

Anti-patterns:

  • ❌ ALL CAPS urgency
  • ❌ "Quick question" (when it's not)
  • ❌ Emoji overload 🚀🔥💡

The Humanization Pass

Done with structure? Run humanize-writing to polish the voice. Same viral hooks, human delivery.

Automatic Integration

If you've got both skills, call humanize-writing directly:

Apply the humanize-writing skill to this draft. Focus on:
- Removing AI vocabulary tells from the content
- Ensuring natural sentence rhythm 
- Maintaining the viral hooks I've established
Show full SKILL.md (627 more words)Show less
Manual Humanization Checklist

No humanize-writing? Run this instead:

  1. Read aloud test: Does it sound like a human talking to a friend at a bar?
  2. Transition audit: Remove every "Here's the thing" type phrase
  3. Enthusiasm check: Delete excitement language, keep exciting content
  4. Specificity check: Replace every generic noun with a concrete example
  5. Length check: Cut 20% - viral content is always shorter than the draft
Platform-Specific Humanization Calibration
PlatformHumanization LevelFormality Target
RedditHighCasual expert
LinkedInMediumProfessional but warm
Twitter/XMedium-HighPunchy, fragmentary OK
YouTubeHighAccessible, conversational
Hacker NewsMediumTechnical, understated
Quantitative Thresholds for Viral Content

Check these numbers after humanizing:

  • Hook strength: First sentence must create curiosity or stakes
  • AI tells: Zero tolerance for blacklisted phrases (see resources/ai-tells.md)
  • Word count: Platform-specific (Reddit: 200-400, Twitter: <280 per tweet)
  • Specificity ratio: ≥1 concrete example per abstract claim
  • Closer strength: Must end on authority, not request

Ethical Framework

Legitimate Uses
  • Optimizing your own content for maximum social reach
  • Improving engagement for genuine value propositions
  • Learning viral content mechanics for personal skill development
  • Making AI-generated content pass hostile audience scrutiny
Illegitimate Uses
  • Astroturfing or coordinated inauthentic behavior
  • Spreading misinformation with viral mechanics
  • Impersonating others' expertise or voice
  • Engagement farming without substance
Disclosure Guidance
  • Required: When promoting products/services you're paid for
  • Recommended: When AI assisted in content generation
  • Not required: For general content creation and ideation

Voice Calibration

Match formality to platform:

  • Reddit: Casual expert (bar conversation with someone smart)
  • LinkedIn: Professional but not corporate
  • Twitter: Punchy, fragmentary ok
  • YouTube: Accessible, can be slightly more casual

Confidence calibration:

  • Overconfident = gets attacked in comments
  • Underconfident = doesn't spread
  • Target: Strong conviction + specific evidence

Title Generation

⚠️ CRITICAL: Titles determine 70% of content performance. Consult resources/viral-titles.md and resources/title-formulas.md for 50+ formulas.

Research-Backed Title Rules
  • Optimal length: 11 words / 65 characters (BuzzSumo 100M study)
  • Magic number: 10 performs best; odd numbers beat even
  • Negative superlatives: +63% CTR vs positive (Outbrain)
  • Specific numbers: $1,247 beats $1,000
Quick Formulas (Generate 25+, Pick Best)

Curiosity-Gap: "What [group] won't tell you about [topic]" Contrarian: "[Common belief] is dead. Here's what's next." Listicle: "[Number] ways to [achieve X] without [sacrifice]" How-To: "How to [achieve X] in [timeframe] (step-by-step)" Prediction: "[Concept] is the [year] [category] that [outcome]" Negative: "[Number] [topic] mistakes destroying your [metric]"

Title Scoring (Target: 7+)
CriteriaScore 0-3
Curiosity"Must know" feeling?
SpecificityNumbers, metrics?
EmotionHigh-arousal trigger?

Thumbnail Design

⚠️ CRITICAL: Thumbnails drive 70%+ of video performance. Consult resources/viral-thumbnails.md and resources/thumbnail-checklist.md for design protocols.

Research-Backed Thumbnail Rules
  • Face CTR boost: +35-50% (neuroscience: amygdala activation)
  • Decision time: 1.8 seconds average (Netflix study)
  • 82% of browsing time spent on thumbnails
  • Custom thumbnails: 90% of top videos use them
Quick Checklist
  • Face with clear expression (shock/surprise = highest CTR)
  • Maximum 3 elements in frame ("Limit Your Lamborghinis")
  • High contrast colors (test in dark mode)
  • Text: 3-4 words max, bold sans-serif
  • Mobile test (legible at 120px width)
  • Title synergy (complement, don't duplicate)
AI Thumbnail Prompt
[person] with [shocked/surprised] expression, close-up portrait,
[vibrant color] background, studio lighting, high contrast,
YouTube thumbnail style, clean composition, no text

Refinement Protocol

Before you ship, attack the draft:

Pass 1: The Skeptic "Why should I care? What's actually new here?"

Pass 2: The Expert
"Is this technically accurate? What would an expert nitpick?"

Pass 3: The Scroller "Would I stop scrolling for this? What's the hook?"

Pass 4: The Competitor "How is this different from the 10 similar posts?"

Pass 5: The Editor "What can I cut without losing meaning?"

Examples

Bad → Good Transformation

Before (AI-generated feel):

I'm excited to share a revolutionary new productivity hack that will 
change your workflow forever. Here's the thing: most people waste hours 
on email. Let's dive into how inbox zero can transform your day. First, 
you batch process. Second, you use templates. Finally, you schedule 
check-ins. What do you think?

After (human voice):

Email before noon is self-sabotage. Tested this for 3 weeks. No inbox 
until 2pm. My deep work hours went from 2 to 4+. That 7:47am Slack 
ping? Not your fire. Morning brain builds. Afternoon brain reacts. 
Flip the order and you're always playing defense. Two inbox windows: 
2pm and 5pm. Handles everything that actually matters.

What changed:

  • Removed enthusiasm tells ("excited to share", "revolutionary")
  • Removed transition tells ("Here's the thing", "Let's dive in")
  • Removed structure tells ("First... Second... Finally...")
  • Removed engagement bait ("What do you think?")
  • Added concrete metrics (3 weeks, 2 to 4+ hours, 7:47am)
  • Used contractions ("I", "you're", "That's")
  • Varied sentence length (4 words to 15 words)
  • Strong conviction opener instead of hedged announcement

© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files in skills/create-viral-content of aAAaqwq/AGI-Super-Team.

  • SKILL.md
  • resources/ai-tells.md
  • resources/humanize-integration.md
  • resources/platform-templates.md
  • resources/refinement-protocol.md
  • resources/research-statistics.md
  • resources/thumbnail-checklist.md
  • resources/title-formulas.md
  • resources/viral-thumbnails.md
  • resources/viral-titles.md

Open the folder on GitHubat commit 331ecd3

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Create Viral Content next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Create Viral Content compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Create Viral Content this skillaAAaqwq/AGI-Super-Team1051 repos~3.6kAutomated safety check: PassMIT
Outlier Post FinderScrapeCreators/social-media-research-skills3.3k—~1.5kAutomated safety check: NotesMIT
Hook Writer Smsblacktwist/social-media-skills560—~3.7kAutomated safety check: PassMIT
Blog RepurposeAgriciDaniel/claude-blog2.3k—~3kAutomated safety check: PassMIT
AI Social Media ContentNeverSight/learn-skills.dev2161 repos~1.8kAutomated safety check: PassNone
Blog RepurposeInfrasity-Labs/dev-gtm-claude-skills139—~2.3kAutomated safety check: PassMIT

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Questions about Create Viral Content

What does Create Viral Content do?

This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X…. Create Viral Content is an agent skill from aAAaqwq/AGI-Super-Team. This skill synthesizes findings from 40 documented research sources AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter/X threads, LinkedIn posts, YouTube videos/comments, TikTok scripts, Instagram posts/reels, email subject lines, blog titles, or any content intended for public engagement.

When should I use Create Viral Content?

Create Viral Content fits situations like: generating content for social media platforms including Reddit posts; twitter/X threads; youTube videos/comments; instagram posts/reels.

How do I install Create Viral Content in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill create-viral-content -a claude-code`. Or copy the skill folder (skills/create-viral-content in aAAaqwq/AGI-Super-Team) into .claude/skills/create-viral-content in your project. Claude Code loads it when a task matches its description.

How do I install Create Viral Content in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill create-viral-content -a codex`. Or copy the skill folder (skills/create-viral-content in aAAaqwq/AGI-Super-Team) into .agents/skills/create-viral-content in your project. Codex loads it when a task matches its description.

Can I use Create Viral Content in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill create-viral-content -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-viral-content, .gemini/skills/create-viral-content, .github/skills/create-viral-content and .opencode/skills/create-viral-content in your project.

What does Create Viral Content need to run?

SKILL.md names no scripts, command-line tools or credentials: Create Viral Content is instructions for the agent only.

Does Create Viral Content access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Create Viral Content safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Create Viral Content use?

Create Viral Content is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Viral Content use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Create Viral Content?

Skills that share tags, products or a category with Create Viral Content: Outlier Post Finder (ScrapeCreators/social-media-research-skills, 3.3k stars), Hook Writer Sms (blacktwist/social-media-skills, 560 stars), Blog Repurpose (AgriciDaniel/claude-blog, 2.3k stars) and AI Social Media Content (NeverSight/learn-skills.dev, 216 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Viral Content?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.