A coordinator for deep research tasks such as systematic research, competitor analysis, market studies, trend analysis, and fact checking. It assigns specialized roles to gather evidence, review coverage, write sections, and produce the requested format.
★not rated 5.4k▲
+130 3d agoA263 tokens
originalMIT
Generate structured SOAP notes from clinical narratives, transcripts, or existing notes; use when the user needs de-identified clinical documentation organized into Subjective, Objective, Assessment, and Plan sections, with clear assumptions and review points.
A research workflow for gathering information from multiple sources and producing professional PDF or DOCX reports. It can use papers, scientific databases, and web search for technical and scientific questions.
A stock-research workflow that collects data from more than 30 sources, analyzes a stock’s business and market data, and creates Markdown and interactive HTML reports. It also supports refreshing existing reports with newer data.
A read-only database lookup skill that checks real tables, columns, definitions, and selected data before SQL or code is written. Its documentation is in Chinese.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
A tool for running Python code in an isolated environment. Python is a programming language often used for calculations, data processing, file-format conversion, and preparing chart data.
A review-analysis tool for studying product reviews, also called voice-of-the-customer analysis. It turns review data into labelled customer patterns, findings, reports, and visual dashboards.
Use for Korean web search, Naver News, Blog, Cafe, Image, Knowledge iN, Encyclopedia, Local search, and Naver DataLab search-trend and shopping-insight analysis through the published npm MCP server.
A workflow that turns a plain-language request for business data into a database query, runs it in a data warehouse or lake, and returns the results for analysis.
Alibaba Cloud Data Agent MCP skill (alibabacloud-data-agent-mcp-skill, data-agent MCP) for enterprise database/file analysis. Use when the user asks (in any language, including Chinese) to query/analyze DMS-managed databases, run SQL/data analysis, start quick-query (lite) or deep-analysis (pro/ultra) sessions…
A separate, read-only checker for SQL, downloaded data, and analysis reports. It applies topic-specific rules and sanity checks before results are used or delivered.
A research guide for choosing a target programme and university for China's master's entrance exam, known as kaoyan. It studies past admissions, scores, places, and competition.
A Chinese-language assistant for CUMCM and similar mathematical modelling competitions, where teams use data and mathematics to solve real-world problems.
Skill "arxiv-search" from TaewoooPark/MagLab, covering category scoping, query families (3–6 per topic), version and doi resolution, tier classification and output contract.
Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O — using only packages included in a standard R installation. Use when the user writes or debugs R scripts, works with vectors, matrices, lists, data frames, or factors, applies the apply family…
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework…
Guide for building products and integrations on top of Southwind Whispers — an AI-powered analytics and report generation platform. Covers domain concepts (data origins, data sources, reports, agents), API key authentication, and end-to-end developer workflows. Use when a developer asks how to integrate with Whispers…
End-to-end methodology for supervised machine learning on small datasets (typically 30-200 samples) where standard "throw XGBoost at it" approaches fail. Use this skill whenever the user is building a predictive model on a small dataset, especially when sample-to-feature ratios are tight, when interpretability matters…
Write and execute IBM SPSS Statistics syntax following SPSS conventions and run SPSS MCP analyses defensively. Use when the user asks to run statistical analysis (frequencies, descriptives, regression, t-test, ANOVA, correlations, factor analysis, crosstabs, MDS/PROXSCAL, clustering, survival, mixed models, etc.)…
Use when the user asks for insights, key findings, recommendations, or actionable takeaways. Trigger on: insights, findings, patterns, recommendations, actionable. Do NOT use for raw data analysis, statistical computation, or chart generation.
★not rated 2 2mo agoA50 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: