2 399 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 951 tokens or less — that is what one costs your context window when the agent loads it. 545 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 355 copies of these same skills sitting in other people's repositories — counted once here, not 355 times.
2 399 unique 443 authors 1 328 updated this month 230 from vendors
Mermaid diagram syntax reference for all diagram types — flowchart, sequence, class, state, ER, gantt, git graph, mindmap, timeline, user journey, pie, quadrant, XY chart, block, sankey, C4, kanban, and more. Use when constructing or debugging any Mermaid diagram definition.
Specialist skill for Python data engineering — pandas, polars, DuckDB, numpy, ETL pipelines, tabular data ingestion, and notebook-to-module extraction. Use when working with dataframes, data validation at ingress boundaries, merge/join operations, typed column contracts, or choosing between pandas vs polars vs DuckDB for a data task.
Builds end-to-end document processing pipelines using LandingAI ADE. Covers batch and async processing, classify-then-extract workflows for mixed document types, RAG pipelines with vector DB ingestion, database integration (Snowflake, CSV, DataFrames), visualization (bounding box overlays, cropped chunk images, word-level annotation), and Streamlit UIs. Use when composing ADE parse/extract/split operations into multi-step pipelines, processing document batches in parallel, loading extraction results into databases, or visualizing/annotating extracted content. Complements the document-extraction skill (which covers single ADE SDK operations); use when those operations need to be chained into workflows or when word-level grounding, bounding box visualization, or annotation is required.
> Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job campaigns, monitor job completion status, and aggregate results with summary statistics across all runs. Use when running a parameter study across dt, kappa, or other simulation inputs, managing dozens or hundreds of simulation configurations, combining outputs from completed batch runs to find the best result, or automating the generate-run-collect workflow for systematic studies, even if the user only says "I need to try many parameter combinations" or "how do I organize a sweep."
Use when you have an idea for a data story and want a publication-quality chart back. The agent finds an authoritative public dataset, drafts three chart-type variants in parallel, picks the strongest, then iterates against a design checklist and a chart-design evaluator until the chart actually carries the story.
Implements Syncfusion .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, chart annotations, and trendlines.
Implements Syncfusion .NET MAUI Circular Charts (SfCircularChart) including pie, doughnut, and radial bar chart types. Use when implementing circular data visualization, pie charts, doughnut charts, or radial bar charts. Ideal for percentage breakdowns, category comparisons, part-to-whole relationships, or displaying proportional data in circular format.
Implements Syncfusion .NET MAUI DateTime Range Selector (SfDateTimeRangeSelector) for interactive date/time range selection with chart integration. Use when working with range selectors, date range pickers, time range selection, chart range filtering, or interactive range controls. Covers range selection UI, filtering chart data by date range, and selecting time periods.
Implements Syncfusion .NET MAUI DockLayout (SfDockLayout) for arranging and docking child elements in defined areas. Use this for creating docking layouts, positioning UI elements at edges (top/bottom/left/right), building dashboard layouts, or arranging multi-region interfaces. Covers dock positioning, edge positioning, and spacing between docked elements.
Implements and customize Syncfusion .NET MAUI Funnel Charts (SfFunnelChart). Use when implementing funnel charts, sales funnel visualization, conversion funnel analysis, process stage visualization, or marketing funnel tracking. Covers funnel chart implementation, customization, data labels, legends, tooltips, segment spacing, and orientation.
Implements Syncfusion .NET MAUI Linear Gauge (SfLinearGauge) for data visualization with scales, pointers, and ranges. Use when creating linear gauges, displaying measurements on linear scales, showing progress indicators, or building thermometer-style visualizations. Covers gauge pointer configuration, bar pointers or shape markers, draggable gauge pointers, and animated gauge transitions.
Implements Syncfusion .NET MAUI Linear ProgressBar (SfLinearProgressBar) control. Use when working with progress bars, progress indicators, loading indicators, determinate/indeterminate progress, or buffer progress visualization. Covers progress tracking, multi-segment progress, animated progress, and gradient progress bars.
Implements Syncfusion .NET MAUI Maps (SfMaps) control. Use when implementing maps, visualizing geographic data, or displaying shape layers and tile layers (OpenStreetMap, Azure maps, Google Maps, Bing Maps). Covers markers, bubbles, legends, data labels, tooltips, sublayers, zoom and pan features, or spatial data visualization in .NET MAUI applications.
Implements Syncfusion .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Implements Syncfusion .NET MAUI Radial Gauge (SfRadialGauge) components. Use when working with radial gauges, circular gauges, speedometers, temperature monitors, meter gauges, or circular data visualization in .NET MAUI applications. This skill covers installation, axis configuration, ranges, pointer types (needle, shape, content, range), annotations, and animation.
Implements Syncfusion .NET MAUI StepProgressBar (SfStepProgressBar) control. Use when implementing step progress visualization, multi-step process tracking, or sequential progress indication. This skill covers step appearance customization, step states (completed/in-progress/not-started), orientation options, tooltips, and accessibility for order tracking, registration forms, or checkout processes.
Implements Syncfusion .NET MAUI Sunburst Chart (SfSunburstChart) for hierarchical data visualization using a radial, multi-level circular layout. Use this for sunburst charts, radial hierarchical charts, multi-level pie charts, or hierarchical data visualization with drill-down capabilities. Ideal for visualizing organizational structures, file systems, or nested categorical data.
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
Implements and customize Syncfusion .NET MAUI TreeView (SfTreeView) for displaying hierarchical data structures. Use when working with TreeView, hierarchical data display, tree structures, organizational charts, nested data, expand/collapse nodes, file explorer UI, folder structures, parent-child relationships, or multi-level data visualization in .NET MAUI applications.
| 将 SRT 字幕文件转换为结构化 JSON 数据。 触发场景： (1) 需要解析 SRT 字幕文件 (2) 需要将字幕转为 JSON/结构化格式 (3) 需要提取字幕时间码和文本 (4) 视频字幕数据处理和分析 (5) 生成字幕纯文本或统计信息
| 启动本地 IELTS Dashboard。React + Vite，浏览器查看备考数据可视化。 触发方式：/ielts-dashboard、「打开仪表盘」「看看进度」「dashboard」
| When a user uploads or references a data file (CSV, JSON, XLSX, TXT, LOG) or any file larger than 100KB, immediately estimate token cost using scripts/estimate_size.py. If >30k tokens, chunk the file and summarize each chunk. If smaller, run quick inspection. Return a safe preview and summary without asking the user what to do.
Use when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.
Use when implementing app integrity verification, preventing fraud with DCAppAttestService, validating requests from legitimate app instances, using DeviceCheck for promotional abuse prevention, or needing server-side attestation/assertion validation. Covers key generation, attestation, assertion, rollout strategy, and risk metrics.
Reference for App Store Connect crash analysis, TestFlight feedback, metrics dashboards, and data export workflows
Use when profiling async/await performance, diagnosing actor contention, or investigating thread pool exhaustion. Covers Swift Concurrency Instruments template, task visualization, actor contention analysis, thread pool debugging.
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
Compute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.
Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA) — 12 genes, 31 SNPs, 51 drugs
>- Unified personal genomic profile report — reads a PatientProfile JSON and synthesizes all skill results into a single "Your Genomic Profile" document.
Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio
Excel Automation: create workbooks, manage worksheets, read/write cell data, and format spreadsheets via Microsoft Excel and Google Sheets integration
Automate Gong conversation intelligence -- retrieve call recordings, transcripts, detailed analytics, speaker stats, and workspace data -- using natural language through the Composio MCP integration.
Automate Google Search Console tasks via Rube MCP (Composio): query search analytics, list sites, inspect URLs, submit sitemaps, monitor search performance. Always search tools first for current schemas.
Automate Google Ads analytics tasks via Rube MCP (Composio): list Google Ads links, run GA4 reports, check compatibility, list properties and accounts. Always search tools first for current schemas.
Automate user behavior analytics with Microsoft Clarity -- export heatmap data, session metrics, and engagement analytics segmented by browser, device, country, source, and more through the Composio Microsoft Clarity integration.
Automate Microsoft Clarity tasks via Rube MCP (Composio): session recordings, heatmaps, and user behavior analytics. Always search tools first for current schemas.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Automate Rosette Text Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Simple Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Token Metrics tasks via Rube MCP (Composio). Always search tools first for current schemas.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.
When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and understanding how crashes affect App Store ranking. Use when the user mentions "crash", "crashlytics", "crash rate", "ANR", "app not responding", "crash-free sessions", "crash-free users", "symbolication", "stability", "firebase crashes", "app crashing", or "crash report". For overall analytics setup, see app-analytics.
When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new releases. Also use when the user mentions "market overview", "what's happening on the App Store", "market briefing", "weekly report", "market trends", or "state of the market". For chart-specific rank changes only, see market-movers. For keyword trends only, see keyword-research.
When the user wants to optimize their subscription business end-to-end — from trial start through renewal, cancellation, and win-back. Use when the user mentions "subscription lifecycle", "trial conversion", "churn", "cancellation", "win-back", "lapsed subscribers", "dunning", "billing retry", "grace period", "renewal rate", "subscriber LTV", or "resubscribe". For paywall design and pricing strategy, see monetization-strategy. For subscription analytics dashboards, see app-analytics.