---
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

```
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.

## 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

| Version | Date | Changes |
|---------|------|---------|
| 2.1.0 | 2026-01-11 | Optimized 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. |
| 2.0.0 | 2026-01-11 | Refactored according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |