Skill UI

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

A powerful tool designed for systematic literature reviews and meta-analyses. It searches scientific papers and retrieves highly structured experimental data directly from the full text, going beyond mere abstracts. It extracts over 25 fields, including detailed methods, quantitative results, sample sizes, quality scores, and conclusions, enabling comprehensive evidence synthesis for academic research.

Provides developmental, qualitative, and evidence-traceable review of scholarly works (papers, protocols, ideas). It also rigorously audits low-stakes research assessment rubrics for construct validity, fairness, and governance. Crucially, this tool is strictly forbidden from making high-impact personnel decisions, ranking individuals, or determining final outcomes.

Prepare journal papers, conference submissions, posters, and grant documents with venue-specific formatting guidance, official template checks, and LaTeX scaffolds for drafting and compliance review.

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 mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

Instantly generates LLM-optimized summaries for single academic papers using the AlphaXiv service. Supports input via arXiv ID or URL, providing tiered fallback (Overview → Markdown → LaTeX Source) for comprehensive understanding.

This advanced skill performs a zero-context, multi-layered verification of every bibliographic citation within an academic manuscript. It checks for the existence of cited works, verifies the correctness of metadata (authors, years, venues), and, crucially, ensures the cited paper actually supports the claim it is used for. Essential for pre-submission quality control.

A powerful resource for academic research, DeepXiv facilitates structured and progressive reading of open-access papers. It moves beyond simple retrieval by allowing users to search by topic or ID, retrieve brief summaries, view section maps, or focus on specific chapters, ensuring a layered and efficient understanding of complex scientific literature.

This skill is designed to comprehensively edit and improve existing articles. It first analyzes the content, dividing it into logical sections based on headings and considering the dependencies between information points. Subsequently, it rewrites each section to enhance clarity, coherence, and flow, ensuring the prose is tighter and more professional. Use this when you need to revise a draft, academic paper, or long-form content.

This skill transforms an LLM into a disciplined wiki maintainer for Obsidian. It moves beyond simple RAG by incrementally ingesting sources (papers, notes, articles) to build a persistent, interlinked "Second Brain." The LLM manages cross-references, updates core concepts, and maintains an evolving knowledge graph, ensuring that knowledge compounds over time rather than being re-derived on every query. Ideal for deep research, personal knowledge management (PKM), and building comprehensive internal wikis.

This skill establishes a robust two-way synchronization bridge between a local working directory (for ARIS audits and local processing) and an Overleaf project. It allows users to maintain complex, local auditing pipelines while enabling real-time, collaborative editing in the Overleaf web UI. Features include controlled 'pull' (detecting remote changes and applying audited merges) and 'push' (syncing local fixes back to the collaborators).