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Result Integrator

Community
VanGong1999
result-integrator

整合多情点分析结果为综合报告,通过去重、分类、排序、总结生成高质量分析。适用于整合多分析源、生成统一报告

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill nameresult-integrator
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 Result Integrator 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/result-processing/result-integrator
  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/result-processing/result-integrator .claude/skills/result-integrator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Result Integrator 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 Result Integrator 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 Result Integrator 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.

结果整合工具

功能

将多个情节点分析结果整合成综合报告,通过去重、分类、排序、总结等处理,生成高质量的综合分析。

使用场景

  • 整合多个分析源的情节点结果,生成统一的综合报告。
  • 去除重复和冗余信息,确保报告的精炼性和准确性。
  • 提供结构化的情节点分析总结,便于快速理解故事核心。
  • 优化报告的逻辑连贯性,提升可读性与专业度。

整合原则

  1. 去重: 移除重复或相似的情节点,确保每个情节点都独特。
  2. 分类: 按照戏剧功能对情节点进行分类,提供清晰的结构化视图。
  3. 排序: 按照情节点在故事中的出现顺序排列,确保时间线的连贯性。
  4. 总结: 提供整体的戏剧结构分析,给出专业的洞察和建议。

核心步骤

接收多个分析结果
    ↓
识别并去除重复内容
    ↓
按照戏剧功能分类
    ↓
按故事顺序排序
    ↓
生成整体分析总结
    ↓
输出最终综合报告

输入要求

  • 情节点分析结果: 多个来自不同智能体的情节点分析报告或数据。
  • 分析源权重(可选): 指定不同分析源结果的优先级或权重。

输出格式

【情节点整合分析报告】

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
一、整体分析总结
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[整体戏剧结构分析与专业洞察]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
二、情节点分析
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【情节点】:[描述]
【戏剧功能】:[分析]
- [具体描述此情节点的功能和影响]

【情节点】:[描述]
【戏剧功能】:[分析]
- [具体描述此情节点的功能和影响]
...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
三、戏剧结构评价
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[对整合后的戏剧结构的专业评价和改进建议]

约束条件

  • 确保所有输入的情节点信息完整且可解析。
  • 整合过程必须保持客观,不引入新的主观判断。
  • 报告内容需逻辑连贯,易于阅读和理解。
  • 确保最终输出的报告格式规范,符合预期要求。

硬性约束

  • 不引入原文/子结果中不存在的新事实
  • 专业洞察须能回溯到已整合的证据
  • 冲突结果标注来源片段并给取舍理由

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 Result Integrator AI skill do?

整合多情点分析结果为综合报告,通过去重、分类、排序、总结生成高质量分析。适用于整合多分析源、生成统一报告

Why use Result Integrator on TypingMind?

Because you install it once and use it with any model. Result Integrator 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 Result Integrator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/category/result-processing/result-integrator. 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 Result Integrator?

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 Result Integrator?

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

Is the Result Integrator 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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