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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

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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

CopyReceive 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

Copy[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.

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Version History