scientific-researcher

Verify literature, datasets, benchmarks, and software for scientific writing.

Updated May 19, 2026
One-click install
npx skills add https://github.com/RRobert92/EM_ML_Segmentation_Tools_Overview --skill scientific-researcher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-researcher
Source: https://github.com/RRobert92/EM_ML_Segmentation_Tools_Overview/tree/main/skills/scientific-researcher
Command: npx skills add https://github.com/RRobert92/EM_ML_Segmentation_Tools_Overview --skill scientific-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you gather, verify, and organize literature, software, and factual claims so your scientific writing is accurate, properly attributed, and publication-ready.

Core Features & Use Cases

  • Evidence-first literature & tool discovery: Find peer-reviewed papers, preprints, datasets, benchmarks, and relevant software (especially for scientific/peer-reviewed deliverables).
  • Traceable citation verification: Confirm authors, years, venues, titles, and what the source actually claims to avoid plausible fabrication.
  • Practical survey workflow: Convert a research question into a structured search plan, group findings by approach, and report results with uncertainty and search-date context.

Quick Start

Use the scientific-researcher skill to research tools and citations for a peer-reviewed manuscript topic by asking for a “state of the art” survey with verified references and noted uncertainty.

Frequently Asked Questions about scientific-researcher

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

FAQPage Schema
How do I verify scientific claims with traceable citations for publication-grade writing?

You verify scientific claims by cross-source triangulating authors, years, venues, and titles against an evidence hierarchy, ensuring your publication-grade writing avoids plausible fabrication and maintains accurate attribution.

What is the best way to find benchmark datasets and relevant software for a research problem?

Finding benchmark datasets and relevant software is achieved through evidence-first literature and tool discovery, converting your research problem into a structured search plan to locate peer-reviewed papers, preprints, and necessary scientific tools.

How do I conduct a state of the art survey for a peer-reviewed manuscript?

Conducting a state of the art survey involves converting a research question into a structured search plan, grouping findings by approach, and reporting results with explicit uncertainty labeling and search-date context for your peer-reviewed manuscript.

Can I use this to check whether specific research claims are supported by reliable sources?

Yes, you can check whether specific research claims are supported by reliable sources through citation traceability checks that apply an evidence hierarchy and a failure-safe policy, avoiding fabrication when details cannot be confirmed.

Does this Skill explicitly label preprints differently from peer-reviewed literature?

Yes, the Skill explicitly labels preprints to distinguish them from peer-reviewed literature during evidence-first discovery and citation verification, ensuring your scientific writing maintains accurate source attribution and publication readiness.

What happens when citation details cannot be confirmed during literature search?

When citation details cannot be confirmed during literature search, a failure-safe policy activates to avoid fabrication, explicitly reporting uncertainty and search-date context instead of generating plausible but unverified source information.