Skill UI

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

Use the OpenAlex client to query 240M+ scholarly works for literature searches, citation tracking, open access discovery, and bibliometric studies across papers, authors, and institutions.

Literature Review Tool helps researchers gather and synthesize key insights from scholarly texts, highlighting patterns and critical arguments to accelerate literature surveying workflows even when structured content is initially unavailable.

This skill automates the scholarly process of refining a generated academic paper. It executes an iterative loop (Review → Fix → Recompile) using advanced LLMs (like GPT-5.5) over multiple rounds. It is designed not for primary research, but specifically for polishing writing quality, correcting theoretical inconsistencies, improving presentation, and enhancing narrative flow after the initial draft is complete. It helps elevate a paper from a draft to a polished submission.

This skill provides comprehensive tools for academic researchers to manage citations throughout their writing process. It allows searching major databases like Google Scholar and PubMed, extracting accurate metadata from identifiers (DOI, PMID), validating reference information, and generating properly formatted BibTeX entries for bibliographies. It is essential for ensuring citation accuracy and maintaining scholarly rigor in scientific manuscripts and theses.

This skill provides real-time, comprehensive research information lookup. It intelligently routes queries to the optimal backend—using fast web search for general queries, deep synthesis APIs for complex topics, or specialized academic search engines for scholarly papers. Ideal for fact-checking, academic literature review, and industry trend analysis.

The Scholar Evaluation framework provides a comprehensive, structured methodology for assessing scholarly work, including research papers, proposals, and literature reviews. It systematically evaluates key dimensions such as problem formulation, methodology rigor, data analysis, and written presentation, offering both quantitative scoring and actionable, detailed feedback to guide academic improvement.

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

A comprehensive research tool providing access to 10 major academic databases, including PubMed, arXiv, Crossref, OpenAlex, and Semantic Scholar. Use it to search for scholarly articles, preprints, citations, full-text PDFs, and author profiles across multiple fields (biomedical, physics, CS). It integrates complex cross-database queries, ensuring users can find the most complete and up-to-date information on any research topic or identifier (DOI, PMID, etc.).

An all-in-one toolkit designed for comprehensive web-powered research. It supports advanced web searches, precise URL content extraction (including PDFs), bulk data enrichment for structured lists, and deep, multi-source academic reporting. It prioritizes peer-reviewed papers, preprints, and scholarly databases for reliable, authoritative insights across any field.

This skill provides a powerful web toolkit powered by Exa, optimized for academic and technical research. It handles deep web search (semantic lookups, current info, scholarly filtering) and batch URL extraction (articles, PDFs). Use it when you need high-quality, scholarly results or need to fetch content from multiple sources.

This meta-skill is designed to convert complex web research requests into polished, structured, and source-cited deliverables. Use it when you need a market briefing, technical report, or decision memo that requires deep web lookup and scholarly citation. It orchestrates the entire process, including preference inference, multi-source search, drafting, and optional DOCX export, ensuring the output is authoritative and actionable.