SuperAPI AI Directory

result-integrator

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Updated 10-16 01:56

About this skill

Result Integration Tool

Features

Integrate the analysis results of multiple plot points into a comprehensive report, generating high-quality comprehensive analysis through processing such as deduplication, classification, sorting, and summarization.

Use Cases

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

Integration Principles

  1. Deduplication: Remove duplicate or similar plot points to ensure that each plot point is unique.
  2. Classification: Classify plot points according to dramatic function to provide a clear structured view.
  3. Sorting: Arrange plot points according to their order of appearance in the story to ensure timeline coherence.
  4. Summarization: Provide an overall dramatic structure analysis and give professional insights and suggestions.

Core Steps

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

Input Requirements

  • Plot Point Analysis Results: Multiple plot point analysis reports or data from different agents.
  • Analysis Source Weights(Optional): Specify the priority or weight of results from different analysis sources.

Output Format

【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]

Constraints

  • Ensure that all input plot point information is complete and parsable.
  • The integration process must remain objective and must not introduce new subjective judgments.
  • The report content must be logically coherent and easy to read and understand.
  • Ensure that the final output report format is standardized and meets expected requirements.

Examples

See {baseDir}/references/examples.md directory for more detailed examples:

  • examples.md - Includes detailed report examples of integrating, deduplicating, classifying, sorting, and summarizing multi-agent plot point analysis results.

Detailed Documentation

See {baseDir}/references/examples.md for detailed guidance and cases on result integration.


Version History

Version Date Changes
2.1.0 2026-01-11 Optimized the description field to make it more concise and compliant with imperative language conventions; added allowed-tools (Read) and model (opus) fields; optimized descriptions such as features, use cases, integration principles, core steps, input requirements, output format, and integration requirements to make them more compliant with imperative language conventions; added constraints, examples, and detailed documentation sections.
2.0.0 2026-01-11 Refactored according to official specifications
1.0.0 2026-01-10 Initial version