result-integrator

Integrates multiple plot-point analysis results into a unified deduplicated report.

410|79|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/VanGong1999/screen-creative-skills --skill result-integrator-vangong1999
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-integrator
Source: https://github.com/VanGong1999/screen-creative-skills/tree/main/category/result-processing/result-integrator
Command: npx skills add https://github.com/VanGong1999/screen-creative-skills --skill result-integrator-vangong1999

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? When multiple agents or analysis rounds produce separate plot-point or evaluation results, the outputs often contain duplicates, inconsistent ordering, and fragmented insights. This Skill merges them into one coherent, structured report. ## Core Features & Use Cases - Deduplication and Classification: Removes repeated or similar plot points and classifies them by dramatic function. - Chronological Ordering: Sorts plot points by their order of appearance in the story to preserve timeline coherence. - Summary Generation: Produces an overall dramatic-structure analysis with professional evaluation and improvement suggestions. - Use Case: After three agents independently analyze a screenplay's plot points, feed all three reports in and receive a single consolidated analysis with an overall summary, categorized plot points, and a structural review. ## Quick Start Integrate these plot-point analysis results from multiple agents into one comprehensive report with deduplication, classification, and an overall summary.

Frequently Asked Questions about result-integrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I combine multiple plot analysis results into one report?▼

Provide all plot-point analysis outputs as input, and the Skill deduplicates similar points, classifies them by dramatic function, sorts them by story order, and appends an overall structural summary. Optional source weights can prioritize certain analyses.

What inputs does the result integration process require?▼

It requires multiple plot-point analysis reports or data from different agents, and optionally a weighting for each analysis source. All inputs must be complete and parseable for the integration to work correctly.

Can it integrate multi-round evaluation scores, not just plot points?▼

Yes. The examples show it consolidating several rounds of scored evaluations, computing averages, score distributions, and an overall rating with strengths, weaknesses, and follow-up recommendations.

Does the integration add new judgments to the analysis?▼

No. The constraints require the integration to remain objective and avoid introducing new subjective judgments. It only deduplicates, classifies, orders, and summarizes the content already present in the input analyses.

What are the limitations of automated result integration?▼

Integration quality depends on input completeness; incomplete or unparseable analysis results cannot be reliably merged. It also cannot resolve genuine contradictions between sources beyond applying optional source weights.