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.