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Agent Skill · 研究检索

youtube-title(YouTube 标题)

youtube-title 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

youtube-title 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,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 46,340。

总安装 784周安装 33GitHub Stars 124下载 275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:youtube-title(YouTube 标题)
来源仓库:https://github.com/kenneth-liao/ai-launchpad-marketplace
仓库路径:skills/youtube-title
安装命令:
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill youtube-title
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/kenneth-liao/ai-launchpad-marketplace --skill youtube-title

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。

生成或优化 YouTube 视频标题关键词。适合提升点击率与算法推荐权重。通过 npx skills add 命令安装使用。应平衡吸引力与信息准确性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

youtube-title 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/youtube-title

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/kenneth-liao/ai-launchpad-marketplace --skill…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

youtube-title 怎么安装?

在终端执行 npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill youtube-ti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

youtube-title 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。

youtube-title 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

youtube-title 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。

youtube-title 用的人多吗?

公开数据是累计安装 784 次,近一周安装 33 次,下载 275 次,GitHub 124 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。

youtube-title 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
youtube-title

YouTube 标题 · 本页

784124需要联网MIT通过

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

YouTube Title

This skill enables generation of high-performing YouTube video titles optimized for click-through rate (CTR). Titles are designed to spark curiosity, complement thumbnails, and compel viewers to click.

When to Use This Skill

Use this skill when:

  • The user asks to create a title for a YouTube video
  • The user requests title ideas or brainstorming for video content
  • The user wants to improve or optimize an existing video title
  • Working on YouTube content creation and a title is needed
  • The user asks for multiple title variations to test
  • Researching and ideating a new YouTube video idea

🚨 MANDATORY READING 🚨

CRITICAL: Before generating ANY title, you MUST read and internalize the design requirements: references/design-requirements.md

These requirements are NON-NEGOTIABLE. Every title must pass the design requirements checklist. Failure to follow these requirements will result in low-performing titles that do not drive clicks.

Core Principles (Summary)

The design requirements document contains the complete specifications, but the core principles are:

  1. Curiosity is Mandatory: Every title MUST prompt a specific question in the viewer's mind
  2. Complement, Don't Duplicate: Title must work WITH the thumbnail, not repeat it
  3. No Generic Descriptions: Titles that merely describe content are rejected
  4. Question Over Answer: Raise questions, don't answer them in the title

Prerequisites

Gather Context

Before generating titles, it's critical that you have all of the context and information about the proposed video/episode, the user's youtube channel, target audience, etc. If you don't already have it from the conversation, you must first gather this information from the user's local context and filesystem, youtube data, and finally asking the user directly if needed.

Gather the following information:

Required Information

  • Video topic/content: What is the video about?
  • Target audience: Who is this video for?
  • Key message: What's the main takeaway or hook?

Highly Recommended Information

  • Thumbnail description or image: What does the thumbnail show? What text is on it?
  • Target emotion: What emotion should the title evoke? (curiosity, shock, excitement, etc.)
  • Content type: Educational, entertainment, vlog, tutorial, etc.

Title Generation Workflow

Step 1: Gather Context

Ask the user for required information if not already provided:

To create an optimized title, I need to understand:
1. What is the video about? (topic/content)
2. Who is your target audience?
3. What's the main hook or takeaway?
4. Do you have a thumbnail? If so, what does it show and what text is on it?
5. What emotion should the title evoke?

Step 2: Read Design Requirements

MANDATORY ACTION: Read the complete design requirements: references/design-requirements.md

This document contains:

  • Curiosity generation requirements (MANDATORY)
  • Thumbnail complementarity requirements (MANDATORY)
  • Forbidden patterns to avoid
  • Content type applications
  • Title generation checklist
  • High-performing vs low-performing patterns
  • Quality standards and priority order

Step 3: Identify the Question

Before writing any title, identify the specific question you want in the viewer's mind:

  • What question will make them curious enough to click?
  • Does this question align with the video content?
  • Is the curiosity gap strong enough to drive action?

Examples of good questions to prompt:

  • "What mistakes am I making?" → "Big Mistakes Small YouTube Creators Still Make!"
  • "What happened?" → "I Should Have Seen This Coming..."
  • "Why would someone do that?" → "the GRILLED CHEESE I ate every other day for 2 years"
  • "Did they accept?" → "Offering People $100,000 To Quit Their Job"

Step 4: Generate Title Options

Generate 3-5 title variations that:

  1. Prompt the identified question
  2. Complement (not duplicate) the thumbnail
  3. Align with the target emotion
  4. Follow content type best practices (educational vs entertainment)

For each title, verify against the checklist:

  • Curiosity Test: Does this prompt a specific question?
  • Complementarity Test: Does this work WITH the thumbnail (not duplicate it)?
  • Click Compulsion Test: Is the curiosity gap strong enough?
  • Non-Descriptive Test: Does this go beyond merely describing?
  • Target Audience Test: Will this resonate with the demographic?

Step 5: Present and Refine

Present the title options to the user with:

  1. The title itself
  2. The question it prompts in the viewer's mind
  3. How it complements the thumbnail (if applicable)
  4. Why it should drive clicks

Example presentation:

Here are 3 optimized title options:

1. "The AI Agent Mistake That Cost Me 10 Hours"
   - Prompts: "What mistake? How can I avoid it?"
   - Complements thumbnail showing frustrated face + error message
   - Creates urgency through time cost

2. "I Built This AI Agent Wrong (Here's What I Learned)"
   - Prompts: "What did they do wrong? What's the lesson?"
   - Personal experience framing creates relatability
   - Implies valuable learning without giving it away

3. "Why Your AI Agents Keep Breaking (And Mine Don't)"
   - Prompts: "Why do mine break? What's their secret?"
   - Creates contrast and curiosity
   - Positions viewer problem + solution tease

Step 6: Iterate Based on Feedback

If the user requests changes:

  1. Understand what aspect needs adjustment (curiosity, tone, length, etc.)
  2. Regenerate while maintaining design requirements compliance
  3. Re-verify against the checklist

Common Patterns by Content Type

Educational Content (How-to, Tutorials)

Goal: Frame instruction to spark curiosity, not just inform

  • ✅ "The Secret Technique Pro Chefs Don't Want You to Know"
  • ✅ "I Tried the 'Impossible' Coding Challenge"
  • ✅ "Why Everyone Does [X] Wrong (And How to Fix It)"
  • ❌ "How to Chop Onions Properly"
  • ❌ "Python Tutorial for Beginners"

Entertainment Content (Vlogs, Gaming)

Goal: Create intrigue through outcome uncertainty

  • ✅ "Offering People $100,000 To Quit Their Job"
  • ✅ "I Ate the Same Meal for 30 Days Straight"
  • ✅ "They Didn't Believe Me Until..."
  • ❌ "My Daily Vlog"
  • ❌ "Playing Minecraft"

Tech/AI Content (User's Channel)

Goal: Combine education with curiosity and problem-solving

  • ✅ "The AI Agent Pattern Nobody Talks About"
  • ✅ "I Broke Production With This One Line of Code"
  • ✅ "Why Your AI Agents Fail (And How to Fix Them)"
  • ❌ "Building AI Agents Tutorial"
  • ❌ "How to Use Claude API"

Quality Assurance

Priority Order (from Design Requirements)

  1. Spark curiosity (highest priority)
  2. Complement thumbnail
  3. Raise viewer question
  4. Create click compulsion

Rejection Criteria

REJECT and regenerate if the title:

  • Merely describes the content without sparking curiosity
  • Duplicates text that appears on the thumbnail
  • Answers the question instead of raising it
  • Uses generic patterns like "[Topic] Tutorial" without intrigue
  • Fails the "What question does this raise?" test

Success Criteria

A successful title:

  • Prompts a specific, compelling question in the viewer's mind
  • Works synergistically with the thumbnail
  • Creates a curiosity gap strong enough to drive clicks
  • Aligns with the target audience and content type
  • Passes all 5 checklist items in the design requirements

Reference Documentation

For complete design requirements, patterns, and examples: references/design-requirements.md

This reference includes:

  • Detailed curiosity generation requirements
  • Thumbnail complementarity specifications
  • Forbidden patterns with examples
  • Content type applications
  • Complete title generation checklist
  • High-performing vs low-performing pattern analysis
  • Quality standards and implementation notes

Additional Resources

Related Skills

  • youtube-thumbnail: For creating thumbnails that complement titles
  • YouTube Analytics tools: For analyzing past title performance

Notes

  • Curiosity is non-negotiable: Description alone is insufficient
  • Always verify against checklist: Every title must pass all 5 tests
  • Thumbnail coordination: When possible, coordinate title with thumbnail design
  • Test multiple options: Provide 3-5 variations for A/B testing consideration
  • Iterate ruthlessly: Reject titles that don't meet standards, even if they're accurate

平台分布

Claude Code

29.52%
按下载量换算81

OpenCode

23.25%
按下载量换算64

Cursor

15.99%
按下载量换算44

Codex

12.13%
按下载量换算33

Antigravity

8.18%
按下载量换算22

Gemini CLI

3.13%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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