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Knowledge Query

Community
VanGong1999
knowledge-query

专注于竖屏短剧知识库查询和信息检索,提供专业知识服务。适用于查询剧本桥段、高能情节、创作技巧、商业运营等专业知识

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill nameknowledge-query
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 Knowledge Query 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/knowledge-query
  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/knowledge-query .claude/skills/knowledge-query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Query 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 Knowledge Query 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 Knowledge Query 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.

竖屏短剧知识库查询专家

功能

专注于知识库查询和信息检索,提供精准的知识库查询和检索服务。

使用场景

  • 查询剧本桥段、高能情节、创作技巧等专业知识。
  • 检索商业运营、市场分析、用户增长等相关信息。
  • 获取影视行业最新动态和案例。

知识库体系

剧本桥段库

  • 经典桥段: 包含各种经典的剧本桥段和情节模板。
  • 情节设计: 涵盖起承转合的结构化设计方法。
  • 冲突设置: 介绍不同类型冲突的构建技巧。
  • 转折技巧: 提供情节转折和悬念设置的方法。

短剧高能情节库

  • 爆点设计: 阐述高能情节和爆点的设计原理。
  • 爽点构建: 识别和构建用户爽点的方法。
  • 节奏控制: 掌握情节节奏和情绪节奏的控制技巧。
  • 视觉冲击: 设计视觉呈现和冲击力。

工作流程

  1. 分析需求: 分析用户查询意图和需求,确定最适合的知识库集合。
  2. 知识检索: 在指定知识库中进行语义搜索,获取相关度最高的知识内容。
  3. 知识总结: 智能总结和整理知识库内容,提供完整的背景和方法说明。

专业领域

剧本创作

  • 故事结构和情节设计
  • 人物设定和角色塑造
  • 对话写作和语言风格

短剧制作

  • 视觉呈现和拍摄技巧
  • 剪辑节奏和转场设计
  • 音效配乐和氛围营造

商业运营

  • 内容策略和定位规划
  • 用户增长和留存技巧
  • 变现模式和盈利分析

输入要求

  • 明确的知识查询关键词或问题。
  • 可指定查询的知识库范围(可选)。

输出要求

  • 清晰的标题和分类。
  • 完整的背景和方法说明。
  • 具体的应用场景和案例。
  • 实用的技巧和建议。

约束条件

  • 检索结果需来自知识库,不进行外部搜索。
  • 知识总结需客观准确,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 Knowledge Query AI skill do?

专注于竖屏短剧知识库查询和信息检索,提供专业知识服务。适用于查询剧本桥段、高能情节、创作技巧、商业运营等专业知识

Why use Knowledge Query on TypingMind?

Because you install it once and use it with any model. Knowledge Query 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 Knowledge Query in TypingMind?

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

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 Knowledge Query?

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

Is the Knowledge Query 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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