AgentSkillsCN

result-integrator

将多份情节分析结果有机融合,通过去重、分类、排序与归纳,生成高质量的综合分析报告。适用于整合多方分析资源,打造统一的分析成果。

SKILL.md
--- frontmatter
name: result-integrator
description: 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
category: result-processing
version: 2.1.0
last_updated: 2026-01-11
license: MIT
compatibility: Claude Code 1.0+
maintainer: Gong Fan
allowed-tools:
  - Read
model: opus
changelog:
  - version: 2.1.0
    date: 2026-01-11
    changes:
      - type: improved
        content: Optimized description field to be more concise and comply with imperative language specifications
      - type: added
        content: Added allowed-tools (Read) and model (opus) fields
      - type: improved
        content: Optimized descriptions of functionality, use cases, integration principles, core steps, input requirements, output format, and integration requirements to comply with imperative language specifications
      - type: added
        content: Added constraints, examples, and detailed documentation sections
  - version: 2.0.0
    date: 2026-01-11
    changes:
      - type: breaking
        content: Refactored according to Agent Skills official specifications
      - type: improved
        content: Optimized description, using imperative language, simplified main content
      - type: added
        content: Added license and compatibility optional fields
  - version: 1.0.0
    date: 2026-01-10
    changes:
      - type: added
        content: Initial version

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

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

Core Steps

code
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

code
[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.

Examples

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

  • examples.md - Contains detailed report examples of multi-agent plot point analysis result integration, deduplication, classification, sorting, and summarization.

Detailed Documentation

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


Version History

VersionDateChanges
2.1.02026-01-11Optimized description field to be more concise and comply with imperative language specifications; added allowed-tools (Read) and model (opus) fields; optimized descriptions of functionality, use cases, integration principles, core steps, input requirements, output format, and integration requirements to comply with imperative language specifications; added constraints, examples, and detailed documentation sections.
2.0.02026-01-11Refactored according to official specifications
1.0.02026-01-10Initial version