Result Integrator

Community

VanGong1999

result-integrator

Integrate multiple plot point analysis results into comprehensive reports, generating high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources, generating unified reports

Overview

Publisher	VanGong1999
Repository	`screen-creative-skills`
Skill name	`result-integrator`
Stars	474
Forks	85
Bundled files	1
License	MIT
Links	Skill source Repository

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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/result-processing/result-integrator
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/result-processing/result-integrator

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/english-version/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.

Result Integration Tool

Functionality

Integrate multiple plot point analysis results into comprehensive reports, generating high-quality comprehensive analysis through deduplication, classification, sorting, and summarization.

Use Cases

Integrate plot point results from multiple analysis sources, generate unified comprehensive reports.
Remove duplicate and redundant information, ensure report conciseness and accuracy.
Provide structured plot point analysis summary for quick understanding of story core.
Optimize report logical coherence, improve readability and professionalism.

Integration Principles

Deduplication: Remove duplicate or similar plot points, ensure each plot point is unique.
Classification: Classify plot points by dramatic function, provide clear structured view.
Sorting: Arrange plot points in order of appearance in story, ensure timeline coherence.
Summarization: Provide overall dramatic structure analysis, give professional insights and recommendations.

Core Steps


Receive multiple analysis results
    ↓
Identify and remove duplicate content
    ↓
Classify by dramatic function
    ↓
Sort by story order
    ↓
Generate overall analysis summary
    ↓
Output final comprehensive report

Input Requirements

Plot Point Analysis Results: Multiple plot point analysis reports or data from different agents.
Analysis Source Weights (optional): Specify priority or weights of different analysis source results.

Output Format


[Plot Point Integration Analysis Report]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Overall Analysis Summary
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Overall dramatic structure analysis and professional insights]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Plot Point Analysis
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Plot Point]: [Description]
[Dramatic Function]: [Analysis]
- [Specifically describe function and impact of this plot point]

[Plot Point]: [Description]
[Dramatic Function]: [Analysis]
- [Specifically describe function and impact of this plot point]
...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Dramatic Structure Evaluation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Professional evaluation and improvement recommendations for integrated dramatic structure]

Constraints

Ensure all input plot point information is complete and parseable.
Integration process must maintain objectivity, not introduce new subjective judgments.
Report content must be logically coherent, easy to read and understand.
Ensure final output report format is standardized and meets expected requirements.

Resources

examples.md

Bundled files

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

references/examples.md7 KB

Frequently asked questions

What does the Result Integrator AI skill do?

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/english-version/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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Result Integration Tool

Functionality

Use Cases

Integration Principles

Core Steps

Input Requirements

Output Format

Constraints

Resources

Bundled files

Frequently asked questions

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