Anthropic Skills
2689 skills. Last updated 2026-03-14
Discover and use Anthropic Skills to extend Claude's capabilities with creative, technical, and enterprise workflows.
Metabase REST API automation and troubleshooting: authenticate (API key preferred, session fallback), export/upsert questions (cards) and dashboards, standardize visualization_settings, and run/export results.
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.
Use when validating ideas, sizing markets, building pitch decks, preparing for investors, modeling financials, planning launches, or creating board reports. Auto-activates on fundraising, pitch, investor, TAM/SAM/SOM, unit economics, runway, or board deck tasks.
Generate detailed token usage report with threshold analysis and recommendations
Generate and execute ES|QL (Elasticsearch Query Language) queries from natural language and visualize results with Vega-Lite charts. Translates user intent into valid ES|QL queries, executes them against Elasticsearch, and can render professional data visualizations (bar, line, scatter, heatmaps, small multiples, etc.). Use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
A comprehensive skill for integrating and using uCharts with UniApp projects. This skill focuses on UniApp-specific integration, configuration, and platform-specific considerations when using uCharts in UniApp applications. Use this skill whenever the user needs to integrate uCharts into UniApp projects, configure UniApp-specific settings, or handle platform differences.
Provides comprehensive guidance for draw.io flowcharts including flowchart creation, shapes, connectors, and diagramming. Use when the user asks about draw.io flowcharts, needs to create flowcharts, design process diagrams, or visualize workflows.
Provides comprehensive guidance for uCharts chart library including chart types, data formats, chart configuration, and platform support. Use when the user asks about uCharts, needs to create charts, configure chart options, or work with uCharts in applications.
Provides comprehensive guidance for Lime ECharts including chart creation, configuration, data visualization, and interactive charts. Use when the user asks about Lime ECharts, needs to create charts, visualize data, or work with ECharts features.
A comprehensive skill for creating all types of Mermaid diagrams including flowcharts, sequence diagrams, class diagrams, state diagrams, entity relationship diagrams, user journey diagrams, Gantt charts, pie charts, quadrant charts, requirement diagrams, Git graphs, C4 diagrams, mindmaps, timelines, ZenUML, Sankey diagrams, XY charts, block diagrams, packet diagrams, Kanban boards, architecture diagrams, radar charts, and treemaps. Use this skill whenever the user requests to create, draw, or v
KPI framework setup, dashboard design, cohort analysis, and data-driven decision making. Use when analyzing growth metrics, building KPI dashboards, or implementing analytics systems.
Diagram-first explanations using ASCII visualizations (sequence diagrams, flowcharts, component maps) to explain code, systems, request/response flows, pipelines, concurrency, and comparisons. Use when the user asks to "draw an ASCII diagram", "show the flow/logic", "visualize the architecture", "explain how it works", or when a diagram would reduce ambiguity in a technical explanation.
生成可读性报告。当用户请求为项目源代码生成可读性报告时，使用此功能。输出名为 readability-report.html 的单页 HTML 文件作为可读性报告，该报告集成了 Node.js 脚本和 HTML 模板。
Generate data visualizations, plots, and charts. Analyzes data structure to select optimal visualization types. supports bar charts, line graphs, and scatter plots for clarity.
Ultra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.
ExecPlan expert - Helps create and maintain execution plans following PLANS.md guidelines. Automatically activates for complex features or significant refactors.
Comprehensive guide for BlazeMeter Test Data Management, including data entities, parameters, generation, orchestration, and management operations. Use when working with test data for (1) Creating and managing data entities and parameters, (2) Generating synthetic test data with seed lists and functions, (3) Using test data in tests (CSV, Data Entities), (4) Managing test data (backup, import/export, sharing), (5) Using Test Data Orchestration and Profiler, (6) Working with Test Data Pro, or any
Guide for BlazeMeter Usage & Billing, including credit types and charging. Use when working with usage and billing for (1) Understanding BlazeMeter credit types (VU, VUH, Tests), (2) Calculating credit consumption for different test types, or any other usage and billing tasks.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
Time series machine learning toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use this skill when working with temporal data, performing time series analysis, building predictive models on sequential data, or implementing workflows that involve distance metrics (DTW), transformations (ROCKET, Catch22), or deep learning for time series. Applicable for tasks like ECG classification, stock price forecasting, sensor anomaly dete
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks.