Discover tools academic skills, compare source repositories and read the instructions for each workflow.
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill sh...
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup...
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
从任意输入源提取结构化综述主题：支持文件（PDF/Word/Markdown/Tex）、文件夹、图片、自然语言描述、网页 URL 等；自动识别输入类型并提取内容；生成"主题+关键词+核心问题"结构化输出，可直接用于 systematic-literature-rev...
为科研申请书"立项依据"章节写作/重构 LaTeX 正文内容，基于最小信息表输出价值与必要性、现状不足、科学问题/假说与项目切入点，并保持模板结构不被破坏。适用于 NSFC 及各类科研基金申请书的立项依据写作场景。
NSFC 标书引用与 Bib 管理：新增/核验论文信息（题目/作者/年份/期刊/DOI）并写入 `references/ccs.bib` 或 `references/mypaper.bib`，保证不出现幻觉引用；用于用户要求"加引用/补参考文献/核对论文信息/写bibtex/更新.bib"...
当用户需要做系统综述/文献综述/related work/相关工作/文献调研时使用：AI 自定检索词，多源检索→去重→AI 逐篇阅读并评分（1–10分语义相关性与子主题分组）→按高分优先比例选文→自动生成"综/述"字数预算（70% 引用段 + 30% 无...
This skill provides semantic search capabilities using embedding-based similarity matching for code and text. Enables meaning-based search beyond keyword matching, with optional document parsing (PDF, DOCX, PPT...
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
Convert arXiv papers to LLM-consumable markdown. Invoke when user provides an arXiv ID or URL, or when syncing academic papers from a PDF folder to a markdown destination.
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check acc...
A step-by-step guide to synthesizing research from multiple sources into a coherent summary.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outline...
Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.
This skill should be used when the user asks to "기술 의사결정", "뭐 쓸지 고민", "A vs B", "비교 분석", "라이브러리 선택", "아키텍처 결정", "어떤 걸 써야 할지", "트레이드오프", "기술 선택", "구현 방식 고민", or...
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
This skill should be used when the user asks for "deep research", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across 10+ sources with ver...
Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research me...
Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions.
Systematic peer review toolkit. Evaluate methodology, statistics, design, reproducibility, ethics, figure integrity, reporting standards, for manuscript and grant review across disciplines.
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.