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SKILL verified MIT Self-run

Result Integrator

skill-vangong1999-screen-creative-skills-result-integrator · by VanGong1999

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

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Install

$ agentstack add skill-vangong1999-screen-creative-skills-result-integrator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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 |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.