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Titles And Description

Community
JimLiu
titles-and-description

用户要为准备发布的视频起标题、要几个标题候选、再来一批或照某个再来几个,或要写视频简介(视频页标题下的说明文字、章节列表、标签)时用。写给发布视频的人:吸引人,并且每句都由视频兑现。需要视频的转写。不用于给文章起标题等与视频无关的写作。

Overview

PublisherJimLiu
Repositorybaocut
Skill nametitles-and-description
Stars
687
Forks
57
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JimLiu on GitHub. Read the source before you install it.

Installation

Install the Titles And Description AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JimLiu/baocut/tree/main/skills/baocut/built-in-skills/titles-and-description
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JimLiu/baocut.git /tmp/baocut
mkdir -p .claude/skills
cp -r /tmp/baocut/skills/baocut/built-in-skills/titles-and-description .claude/skills/titles-and-description
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Titles And Description in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Titles And Description on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Titles And Description is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

起标题与写简介

用户的视频做好了,准备发。标题决定列表里有没有人点,简介决定点进来的人看不看、看完的人找不找得到视频里提到的东西。两者都写给发布视频的人:吸引人,并且每一句视频都兑现。标题和简介配合着用:先出标题候选、让用户挑一个,写简介时就用它。

最容易写坏的样子:从句式出发。「震惊!」「你绝对想不到」「一个视频讲清楚 X」,换个视频也能用,说明它没用上这个视频独有的东西;或者反过来,标题是视频名的复述,简介是视频的流水账,谁看了都不想点。

动笔前先用 skills_read 读本 skill 的 references/writing-baseline.md(材料、基线、两类读者与视角、篇幅与风格、默认值)。起标题再读 references/titles.md,写简介再读 references/description.md。

1. 取材料

  1. 用 videos_inspect 看视频:名字、章节(chapters 的 atSeconds 与 title)、文档。没有转写(kind 为 speech 的文档)时先转写,告诉用户转写在进行。转写没润色过时人名、术语可能有错字,对照视频信息核对。
  2. 读文稿:export(kind transcript、format md、timestamps true;有几份文稿时按它列出的候选用 documentId 指定),jobs_inspect 等到 completed,读 outputs 里的文件。没有视频、只有从链接下载并转写的结果时,读 jobs_inspect 的 outputs 里的 TXT 或 SRT。
  3. 视频信息:来源标题、作者、原视频链接、发布平台只用视频信息里有的和用户提供的。
  4. 用户这次的要求:语言、篇幅、风格、候选个数、发布平台、视角;已选定的标题;之前给过的候选与用户想跟随的那一个,都在这段对话里找。用户说了标题和简介发在同一个平台时,两者按同一个平台写。

2. 动笔之前

先想清楚这两件事,它们不进成品:

  1. 这个视频最值得看的是什么。用一句话写下来:一个出人意料的结论、一个具体的结果、一个大家关心却答不上来的问题、一段不常见的经历、一个马上能用的方法。标题从它出发,简介的开头从它出发。一个视频往往有好几个值得看的点,它们就是不同候选的起点。
  2. 观众为什么会点。他本来在找什么、好奇什么、以为是怎样的?这个视频能让他省下什么、避开什么、得到什么?把这个连接点说具体。

3. 交付

  • 标题:直接在回复里给出候选,每条带角度与一句理由,标出推荐的那一个;请用户挑一个,或说要再来一批、照哪个再来几个。
  • 简介:直接在回复里给出全文(标签单列一行)。用户要文件时写成工作目录里的 Markdown 文件(如 <视频名>.description.md;多种语言时在扩展名前加语言标签);会话不属于项目时再用 downloads_save 放进下载目录,把它返回的 path 告诉用户。
  • 一并说明:用的是哪种视角、依据是什么;用户已经挑定的标题(或还待用户挑);哪些信息没有核实、哪些链接要用户补;说了平台的,提醒用户对照平台现行的规则核对。

4. 要避免的

  • 不要从句式出发;把视频名和人名换掉还能用的标题,重写。
  • 不要许诺视频没给的东西:数字、「最」「第一」、留下的问题,视频里都要有。
  • 不要用同一句话的改写充当不同的候选。
  • 不要编链接、编章节时间、编平台规则。
  • 简介不要以链接、标签、署名开头,不要写成流水账。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Titles And Description AI skill do?

用户要为准备发布的视频起标题、要几个标题候选、再来一批或照某个再来几个,或要写视频简介(视频页标题下的说明文字、章节列表、标签)时用。写给发布视频的人:吸引人,并且每句都由视频兑现。需要视频的转写。不用于给文章起标题等与视频无关的写作。

Why use Titles And Description on TypingMind?

Because you install it once and use it with any model. Titles And Description is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Titles And Description in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JimLiu/baocut/tree/main/skills/baocut/built-in-skills/titles-and-description. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Titles And Description?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Titles And Description?

As many as you like. As long as a model supports skills, you can use Titles And Description with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Titles And Description AI skill free?

It is published on GitHub by JimLiu. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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