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Agent Skill · 研究检索

create-viral-content(创建病毒式内容)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

create-viral-content 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 22,067。

总安装 4,657周安装 198GitHub Stars 9下载 1,632核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-viral-content(创建病毒式内容)
来源仓库:https://github.com/aaaronmiller/create-viral-content
仓库路径:skills/create-viral-content
安装命令:
npx skills add https://github.com/aaaronmiller/create-viral-content --skill create-viral-content
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/aaaronmiller/create-viral-content --skill create-viral-content

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于生成高传播潜力的内容文案,基于 40 项研究数据优化标题与结构。支持多平台适配,提供 CTR 提升策略与情感触发点设计建议。使用时需明确目标平台、受众画像与传播目标,避免泛化表达。建议结合 A/B 测试结果迭代内容策略,持续提升转化效果。

create-viral-content 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/create-viral-content

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aaaronmiller/create-viral-content --skill crea…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

create-viral-content 怎么安装?

在终端执行 npx skills add https://github.com/aaaronmiller/create-viral-content --skill create-viral-c…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

create-viral-content 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

create-viral-content 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

create-viral-content 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

create-viral-content 用的人多吗?

公开数据是累计安装 4,657 次,近一周安装 198 次,下载 1,632 次,GitHub 9 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

create-viral-content 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
create-viral-content

创建病毒式内容 · 本页

4,6579只读MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

⚠️ 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

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

平台分布

Gemini CLI

28.87%
按下载量换算471

Claude Code

20.07%
按下载量换算328

OpenCode

17.44%
按下载量换算285

replit

12.77%
按下载量换算208

Antigravity

7.88%
按下载量换算129

trae

3.06%
按下载量换算50

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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