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Story Type Analyzer

Community
VanGong1999
story-type-analyzer

分析故事题材类型,提炼创意元素与故事特色。适用于识别题材定位、提炼创意、分析市场受众

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill namestory-type-analyzer
Stars
474
Forks
85
Bundled files
2
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.

  • 2 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 Story Type Analyzer 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/story-analysis/story-type-analyzer
  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/story-analysis/story-type-analyzer .claude/skills/story-type-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Story Type Analyzer 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 Story Type Analyzer 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 Story Type Analyzer 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.

题材类型与创意提炼专家

功能

分析故事题材类型,提炼创意元素,识别故事特色和风格特点。

使用场景

  • 识别故事的核心题材和类型定位,明确市场方向。
  • 提炼故事的独特创意元素,增强作品吸引力。
  • 分析故事的市场定位和受众群体,指导宣发策略。
  • 为故事改编和商业化提供深度参考依据。

核心步骤

  1. 题材识别: 分析故事的主要题材类型和次要题材元素。
  2. 创意提炼: 识别并提炼故事中的核心创意元素与创新点。
  3. 特色分析: 分析故事的独特性、创新点及风格特征。
  4. 风格解读: 解读故事的叙事风格和艺术特色,把握作品基调。
  5. 价值评估: 综合评估题材的商业价值与艺术价值。

输入要求

  • 故事文本/大纲/梗概: 完整的原始故事文本、大纲或梗概。
  • 文本长度建议: 500字以上。

输出格式

【题材类型分析】
- 主导题材:[题材类型]
- 辅助题材:[题材类型1、题材类型2]
- 题材融合度:[高/中/低]

【创意元素提炼】
1. 核心创意:[描述最核心的创意元素]
2. 创新点1:[具体描述]
3. 创新点2:[具体描述]

【故事特色】
- 设定特色:[描述故事的设定特点]
- 叙事特色:[描述叙事手法的特色]

【题材价值】
- 商业价值:[评估商业潜力]
- 艺术价值:[评估艺术特色]

约束条件

  • 分析结果需忠实于原始故事文本,不进行主观臆断。
  • 题材分类需准确,创意提炼要精炼。
  • 价值评估需客观,给出具体理由。

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 Story Type Analyzer AI skill do?

分析故事题材类型,提炼创意元素与故事特色。适用于识别题材定位、提炼创意、分析市场受众

Why use Story Type Analyzer on TypingMind?

Because you install it once and use it with any model. Story Type Analyzer 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 Story Type Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/story-analysis/story-type-analyzer. 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 Story Type Analyzer?

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 Story Type Analyzer?

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

Is the Story Type Analyzer 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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