Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
Browse data & analytics skills
Showing 7,705–7,728 of 13,303 skills
Build responsive React dashboards with TypeScript, shadcn/ui, TanStack Query, and Supabase for event-studio. Use when user mentions dashboard, metrics, KPI cards, data tables, charts, analytics, admin panel, Recharts, event management UI, booking interface, financial overview, or asks to create pages with data visualization.
Skills for querying ontologies using the Ontology Access Kit (OAK). This should only be used for complex ontology operations, for basic external ontology searching use the OLS MCP
Oxford Nanopore multi-step workflow orchestration with unified QC aggregation. Use when running complete analysis pipelines (QC → basecalling → alignment → variants → pharmacogenomics), generating unified reports, batch processing experiments, or coordinating complex multi-step workflows. Integrates with ont-experiments registry for full provenance tracking.
Enhanced Oxford Nanopore experiment management with event-sourced registry, pipeline orchestration, unified QC aggregation, and GitHub-synced storage. Discover, track, and orchestrate nanopore sequencing experiments with full provenance tracking. Works both on HPC (full read/write) and remotely via GitHub (read-only fallback). This is the core skill that other ONT analysis skills integrate with via Pattern B orchestration.
Creates new Agent Skills for AI Agents following best practices and documentation. Use when the user wants prompts 'create a new skill ...' or 'use your meta skill to ...'.
Detects execution issues, slippage, and market anomalies in real-time for quality monitoring
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create visualizations, or build predictive models with reproducible, code-based workflows.
Creates new Agent Skills for Claude Code following best practices and documentation. Use when the user wants to create a new skill, extend Claude's capabilities, or package domain expertise into a reusable skill.
使用自定义动能理论分析 BTC 市场,多时间级别嵌套分析(2日线/1日/12h/6h/4h/2h/1h/30min),识别上涨线段、下跌线段、分立调控、单位调整周期、连续跳空背离、黄白线背离,生成包含详细属性判断的动能报告和交易信号。当用户询问 BTC 动能、线段状态、MACD 分析、周期判断、背离检测时自动激活。
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive present...
R rvest package for web scraping. Use for extracting data from HTML pages.
R rvest package for web scraping. Use for extracting data from HTML pages.
R gt package for grammar of tables. Use for creating publication-quality tables.
R gganimate package for animated plots. Use for creating animated ggplot2 visualizations.
R forecast package for time series forecasting. Use for ARIMA, ETS, and other forecasting methods.
R fable package for tidy forecasting. Use for forecasting with tidyverse-compatible syntax.
R Rcpp package for C++ integration. Use for writing high-performance C++ code callable from R.
R Rcpp package for C++ integration. Use for writing high-performance C++ code callable from R.
R covr package for test coverage. Use for measuring and reporting code coverage.
R testthat package for unit testing. Use for writing and running tests with expectations.
R covr package for test coverage. Use for measuring and reporting code coverage.
Creates executive reporting and visualization from RoPA data including processing activity counts, risk heatmaps, compliance scores, trend analysis, and supervisory authority readiness indicators. Activate for RoPA dashboard, executive reporting, risk heatmap, compliance score, trend analysis, board reporting, KPI.