Does this skill perform new web searches?

No, this skill is focused on synthesizing data from your existing library of completed research runs rather than initiating new searches.

How does it handle conflicting research data?

The skill is specifically designed to identify 'divergences'—points where different research runs reach different conclusions or surface different literature—allowing users to see a more balanced view.

What is the Research Comparative Synthesis skill?

It is a specialized capability for Claude Code that allows users to analyze, merge, and compare data from multiple completed DeepScan research reports into a single, cohesive summary.

When should I use summarize_evidence vs get_deepscan_report?

Use summarize_evidence for a quick overview of your entire research history. Use get_deepscan_report when you need a detailed side-by-side comparison of specific, named runs.

Can this skill create charts and graphs?

Yes, it can use Python to generate visualizations such as Venn diagrams for paper overlap, publication year histograms, and topic co-occurrence heatmaps.

Research Comparative Synthesis

Name: Research Comparative Synthesis
Author: papersflow-ai

bypapersflow-ai

•

データサイエンスとML

Synthesizes and compares findings across multiple research reports to identify cross-run trends and knowledge gaps.

The Research Comparative Synthesis skill enables users to perform high-level meta-analyses of their research history by aggregating data from various DeepScan sessions. It bridges the gap between individual reports by identifying common themes, conflicting evidence, and emerging trends across literature sets. Whether you are looking for a unified summary of a month's worth of research or a side-by-side comparison of specific technical topics, this skill provides the tools to connect the dots and visualize the landscape of your findings.

主な機能

01Conflict and divergence detection between different research runs

02Automated identification of literature gaps and emerging trends

03Detailed side-by-side comparisons of specific DeepScan reports

04Cross-report evidence aggregation and summarization

05Data visualization including paper overlap Venn diagrams and citation distributions

062 GitHub stars

ユースケース

01Visualizing the overlap and distribution of literature across various search queries

02Comparing findings from different time periods to track emerging technical methods

03Synthesizing multiple research sessions on a broad topic into a single executive summary

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add papersflow-ai/papersflow-skills comparative-synthesis

For use in Claude.ai and ChatGPT

主な機能

01Conflict and divergence detection between different research runs

02Automated identification of literature gaps and emerging trends

03Detailed side-by-side comparisons of specific DeepScan reports

04Cross-report evidence aggregation and summarization

05Data visualization including paper overlap Venn diagrams and citation distributions

062 GitHub stars

ユースケース

01Visualizing the overlap and distribution of literature across various search queries

02Comparing findings from different time periods to track emerging technical methods

03Synthesizing multiple research sessions on a broad topic into a single executive summary

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add papersflow-ai/papersflow-skills comparative-synthesis

For use in Claude.ai and ChatGPT