How does the Research Synthesis skill handle conflicting data?

The skill uses a four-step resolution process that evaluates methodology quality, sample sizes, and recency to determine the most reliable finding or document a genuine debate.

Can this skill search the web for new information?

Yes, it utilizes tools like WebSearch and WebFetch to gather external data before beginning the synthesis and categorization phases.

What is uncertainty quantification in this context?

It is a method of using calibrated language (e.g., 'High confidence' vs 'Limited evidence') to communicate the reliability of a conclusion based on the strength and volume of supporting data.

Does it produce a final document I can save?

Absolutely. The skill includes a dedicated documentation phase that writes a structured Markdown report to your local directory, including executive summaries and references.

Research Synthesis

Name: Research Synthesis
Author: poemswe

bypoemswe

•

Data Science & ML

Synthesizes fragmented research findings into coherent, structured narratives with evidence-based uncertainty quantification.

The Research Synthesis skill transforms Claude into a sophisticated research analyst capable of integrating information from diverse sources into actionable reports. It employs a multi-phase framework that includes evidence weighting, convergence analysis, and systematic contradiction resolution to ensure high-fidelity conclusions. By calibrating language based on confidence levels and identifying critical research gaps, this skill provides a rigorous methodology for distilling complex data into clear, documented summaries suitable for decision-makers and technical teams alike.

Key Features

014 GitHub stars

02Systematic resolution of contradictions between conflicting research sources.

03Flexible narrative structuring including conceptual and chronological frameworks.

04Automated Markdown report generation with executive summaries and citations.

05Multi-source evidence weighting based on sample size and methodology.

06Calibrated uncertainty quantification using standardized confidence language.

Use Cases

01Creating comprehensive literature reviews from academic papers and technical docs.

02Integrating user feedback and bug reports into a unified product development roadmap.

03Synthesizing market research and competitive intelligence into executive reports.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add poemswe/co-researcher research-synthesis

For use in Claude.ai and ChatGPT

Download Skill