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Agent Skill · 待分类

title(title 命令行)

title 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

title 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 2,843。

总安装 1,346周安装 55GitHub Stars 124下载 436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
unknown

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:title(title 命令行)
来源仓库:https://github.com/kenneth-liao/ai-launchpad-marketplace
仓库路径:skills/title
安装命令:
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill 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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill title

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

title 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。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操作。title 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/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

title 怎么安装?

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

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。

title 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。

title 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

title 用的人多吗?

公开数据是累计安装 1,346 次,近一周安装 55 次,下载 436 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。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理待分类类任务、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

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
title

title 命令行 · 本页

1,346124只读未明确通过

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

Title Generation

Overview

This skill generates high-performing titles and headlines optimized for engagement across any content type. Titles are designed to spark curiosity, complement visual assets where applicable, and compel the audience to click, open, or engage.

Core Principle: Every title must prompt a specific question in the audience's mind. Description alone is insufficient — curiosity is non-negotiable.

When to Use

Use this skill when:

  • The user asks to create a title, headline, or subject line
  • The user requests title ideas or brainstorming for content
  • The user wants to improve or optimize an existing title
  • Working on content creation and a title is needed
  • The user asks for multiple title variations to test

Content Type Resolution

Before generating titles, determine the content type and load the appropriate platform-specific reference file:

Content TypeReference FileKey Focus
YouTube videoreferences/youtube-title-formulas.mdCTR, curiosity, thumbnail complementarity
Newsletter / emailreferences/newsletter-subject-lines.mdOpen rate, preview text, inbox competition
Social media postreferences/social-headlines.mdScroll-stopping, platform-specific hooks

Essential: Read the relevant reference file before generating titles — each platform has unique patterns and constraints that directly affect performance, and skipping this step leads to generic titles that underperform.

If the content type does not match any reference file, apply the universal principles below and adapt to the format.

Prerequisites

Gather Context

Before generating titles, gather the following information from conversation context, the user's filesystem, or by asking the user directly.

Required Information:

  • Content topic: What is the content about?
  • Target audience: Who is this for?
  • Key message: What is the main takeaway or hook?

Highly Recommended Information:

  • Visual asset description: What does the thumbnail, header image, or preview show?
  • Target emotion: What emotion should the title evoke? (curiosity, shock, excitement, urgency)
  • Content type: Video, newsletter, social post, blog article, etc.

Title Generation Workflow

Step 1: Gather Context

Collect required information if not already provided. Ask the user for anything missing:

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

Step 2: Load Platform Reference

Read the appropriate platform-specific reference file based on the content type identified in Step 1.

Step 3: Identify the Question

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

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

Examples of effective questions to prompt:

  • "What mistakes am I making?" (mistake framing)
  • "What happened?" (outcome uncertainty)
  • "Why would someone do that?" (extreme behavior)
  • "How is that possible?" (surprising claim)

Step 4: Generate Title Options

Generate 3-5 title variations that:

  1. Prompt the identified question
  2. Complement (not duplicate) any visual assets
  3. Align with the target emotion
  4. Follow platform-specific best practices from the reference file

Step 5: Verify Against Checklist

For each title, verify against the universal checklist:

  • Curiosity Test: Does this prompt a specific question?
  • Complementarity Test: Does this work WITH visual assets (not duplicate them)?
  • Click/Open Compulsion Test: Is the curiosity gap strong enough?
  • Non-Descriptive Test: Does this go beyond merely describing content?
  • Target Audience Test: Will this resonate with the intended audience?

Step 6: Present and Refine

Present title options to the user with:

  1. The title itself
  2. The question it prompts in the audience's mind
  3. How it complements the visual asset (if applicable)
  4. Why it should drive engagement

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

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

Step 7: Iterate Based on Feedback

If the user requests changes:

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

Voice Application

Before finalizing any written output, invoke the creator-stack:voice skill to apply voice rules. Titles should sound authentic to the user's voice, not generic.

Brand Compliance

When creating assets for The AI Launchpad, invoke creator-stack:brand-guidelines to resolve the correct design system and check anti-patterns.

Quality Assurance

Priority Order

  1. Spark curiosity (highest priority)
  2. Complement visual asset
  3. Raise audience question
  4. Create click/open compulsion

Rejection Criteria

Regenerate if the title:

  • Merely describes the content without sparking curiosity
  • Duplicates text that appears on the visual asset
  • Answers the question instead of raising it
  • Uses generic patterns without intrigue
  • Fails the "What question does this raise?" test

Success Criteria

A successful title:

  • Prompts a specific, compelling question in the audience's mind
  • Works synergistically with any visual asset
  • Creates a curiosity gap strong enough to drive engagement
  • Aligns with the target audience and content type
  • Passes all 5 universal checklist items

Common Pitfalls

  1. Generic Description: "AI Agents Tutorial" describes but does not intrigue. Add curiosity.
  2. Answering the Question: "How to Fix AI Agent Memory in 3 Steps" gives away too much. Tease, do not tell.
  3. Ignoring Platform: A YouTube title and a newsletter subject line have different constraints. Load the right reference.
  4. Thumbnail/Asset Duplication: If the thumbnail says "BROKEN", the title should not also say "broken." Complement, do not repeat.
  5. Single Option: Always provide 3-5 variations for the user to choose from.

平台分布

Codex

34.14%
按下载量换算149

Claude

29.68%
按下载量换算129

Cursor

17.94%
按下载量换算78

Gemini CLI

10.77%
按下载量换算47

安全审计

Gen Agent Trust Hub

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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