create-viral-content

create-viral-content is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 16 tokens per session (3,525 once invoked), scanned A, original, MIT.

A content-writing process that uses findings from 40 documented research sources to improve drafts for social platforms and other online channels.

In plain words
What is it for?
Use it to develop attention-grabbing posts, review hooks and thumbnails, and refine content for more shares, comments, or action.
Why use it?
It helps address weak openings, generic wording, and signs that text was produced by AI. It also provides repeated review and revision instead of relying on one draft.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

Good fit Use it to develop attention-grabbing posts, review hooks and thumbnails, and refine content for more shares, comments, or action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaaaqwq/agi-super-team/create-viral-content
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aAAaqwq/AGI-Super-Team --skill create-viral-content
Clone the repo
git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for create-viral-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/create-viral-content/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/create-viral-content)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/create-viral-content"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/create-viral-content/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for create-viral-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/create-viral-content"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/create-viral-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,525 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.03525
Opus 5 $0.00008 $0.01762
Sonnet 5 $0.00003 $0.00705
Haiku 4.5 $0.00002 $0.00352

Measured 5d ago against content hash 0de78f1a54dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

create-viral-content scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/create-viral-content/SKILL.md · 418 lines

How it starts

The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚠️ 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."

Read the full file on GitHub · 418 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 418 lines · 0 tokens per session scan A 0de78f1a54dd

Subscribe to this mod's changes

create-viral-content is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 3,525 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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