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Web Search

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VanGong1999
web-search

使用联网搜索获取最新市场信息和行业动态。适用于获取竖屏短剧市场趋势、热门题材分析、成功案例研究

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill nameweb-search
Stars
474
Forks
85
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

    Published by VanGong1999 on GitHub. Read the source before you install it.

Installation

Install the Web Search 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/VanGong1999/screen-creative-skills/tree/master/category/knowledge-research/web-search
  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/VanGong1999/screen-creative-skills.git /tmp/screen-creative-skills
mkdir -p .claude/skills
cp -r /tmp/screen-creative-skills/category/knowledge-research/web-search .claude/skills/web-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Search 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 Web Search 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 Web Search 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.

竖屏短剧网络检索专家

功能

利用联网搜索功能,获取最新市场信息和行业动态,提供精准的网络搜索和信息检索服务。

使用场景

  • 获取竖屏短剧市场趋势分析。
  • 研究热门题材和成功案例。
  • 追踪行业政策和平台算法变化。
  • 收集内容创作和商业运营技巧。

核心能力

  1. 网络搜索: 进行精准网络搜索,获取最新市场信息和行业动态。
  2. 信息整理: 智能分类和整理搜索结果,提取关键信息和核心观点。
  3. 内容总结: 深度分析和总结搜索结果,提供实用建议和洞察。

工作流程

  1. 执行搜索: 根据用户需求构建精准查询,进行网络搜索。
  2. 智能总结: 分析搜索结果关联性和重要性,生成结构化总结报告。

专业领域

竖屏短剧市场

  • 市场趋势和用户偏好分析。
  • 爆款短剧案例研究。
  • 平台政策和算法变化。
  • 制作成本和收益分析。

内容创作

  • 热门题材和元素分析。
  • 创作技巧和方法论。
  • 人物设定和情节设计。

商业运营

  • 营销策略和推广方法。
  • 用户增长和留存技巧。
  • 变现模式和盈利分析。

输入要求

  • 明确的网络搜索关键词或问题。
  • 可指定搜索的范围(可选)。

输出要求

  • 清晰的标题和分类。
  • 完整的时间背景和来龙去脉。
  • 关键数据的准确引用。
  • 实用的建议和行动指南。

约束条件

  • 搜索结果需来自网络,不进行知识库查询。
  • 信息整理需客观准确,不进行主观评论。
  • 输出内容应结构化,易于理解和应用。

参考资料

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 Web Search AI skill do?

使用联网搜索获取最新市场信息和行业动态。适用于获取竖屏短剧市场趋势、热门题材分析、成功案例研究

Why use Web Search on TypingMind?

Because you install it once and use it with any model. Web Search 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 Web Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/knowledge-research/web-search. 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 Web Search?

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 Web Search?

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

Is the Web Search AI skill free?

Yes. It is published on GitHub by VanGong1999 under the MIT license. 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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