Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Comprehensive data quality assessment against business rules, schema constraints, and freshness expectations. Activate when validating data pipeline outputs before production use, auditing a dataset against defined business rules, or producing a quality scorecard for a data asset.
Implement interactive 3D charts in Angular applications using Syncfusion. Guide covers setup, chart types (bar, column, stacked variants), customization, data binding, axis configuration, legends, tooltips, selection, data labels, appearance styling, dimensions, print/export, and accessibility. Use this skill whenever a user needs to create, configure, or customize 3D chart visualizations.
Use when you need to design or implement MongoDB data access in Spring Boot — including document modeling, Spring Data Mongo repositories/templates, indexing, optimistic concurrency, and error handling. This should trigger for requests such as Add MongoDB in Spring Boot; Review Spring Data Mongo design; Improve error handling for Mongo writes; Model MongoDB documents for a Spring Boot service; Configure Spring Data MongoDB indexes or transactions. Part of Plinth Toolkit
Manage Alibaba Cloud AIRec (Airec) via OpenAPI/SDK. Use whenever the user needs recommendation-engine resource operations in Alibaba Cloud, including list/create/update flows, status inspection, and troubleshooting AIRec configuration or runtime issues.
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement. Triggers on analytics strategy, measurement plan, event taxonomy, tracking plan, KPI framework, dashboard design, north star metric, attribution model, conversion tracking, GA4 setup, Mixpanel setup, analytics audit. Also triggers when the user has data but no clear way to use it, or wants to make decisions but doesn't know what to track.
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
Retrieve year-over-year growth in income statement items, including Revenue, Gross Profit, Operating Income, Net Income, and EPS Diluted. Use when analyzing company financial growth trends, comparing fiscal year performance, or identifying profitability inflection points
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
SwiftData persistence and data-layer architecture for iOS 26 / Swift 6.2 clinic modular MVVM-C apps. Use when writing, reviewing, or refactoring @Model entities, repository implementations, stale-while-revalidate reads, optimistic queued writes, sync/retry behavior, and SwiftUI integration that keeps SwiftData types inside Data-only boundaries.
Implement Syncfusion Angular Bullet Chart component for performance comparison visualizations. Use this when displaying actual vs target values, defining quality ranges, customizing axes and labels, or creating accessible performance indicators. Covers getting started, data binding, axes configuration, visual elements, and customization.
Use when you need MongoDB persistence in Quarkus — including Panache Mongo entities/repositories, document design, indexes, transactions where applicable, and error handling. This should trigger for requests such as Add MongoDB in Quarkus; Review Quarkus Mongo Panache design; Improve Mongo error handling in Quarkus services; Model MongoDB documents for a Quarkus service; Configure Quarkus MongoDB clients codecs or transactions. Part of Plinth Toolkit
Manage Alibaba Cloud PAI AIWorkspace (AIWorkSpace) via OpenAPI/SDK. Use whenever the user is operating AIWorkspace resources such as workspace/project inventory, create/update actions, status queries, permission or configuration troubleshooting, or automation around PAI workspace lifecycle.
Model what happens to your number if a deal slips, shrinks, or dies - quota impact, coverage ratio change, and the substitute pipeline needed to stay on plan. Use when the user asks "what if [deal] slips", "what happens if [account] pushes to next quarter", "can I still hit my number without [deal]", or "model losing [deal]"
Calculate MFU (Machine FLOP Utilization) for operators like matmul/GEMM/FlashAttention on Ascend NPU, providing clear formulas and derivation process. Use this skill when the user wants to: (1) calculate MFU for matrix operations, (2) analyze operator performance efficiency, (3) understand hardware utilization, (4) optimize operator implementation. Trigger: user mentions "MFU", "machine flop utilization", "operator FLOPs", "matmul performance", "GEMM efficiency", "Ascend MFU", "算子MFU", "算力利用率", "矩阵乘效率", "GEMM性能", "FlashAttention性能"
Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations. Use when the user mentions dashboards, visualization, monitoring, observability, or alerting, or when the task involves Grafana Architecture, Installation on Kubernetes, Data Sources, or Dashboard JSON.
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
Implement the Syncfusion Angular Smith Chart component for high-frequency circuit visualization and transmission line analysis. Use this skill to create Smith charts, visualize impedance or admittance parameters, add multiple series, customize axes and gridlines, configure markers and data labels, implement legends with visibility toggling, add tooltips and export functionality, or handle styling and accessibility. Covers installation, basic rendering, series management, axis configuration, marker and label customization, legend setup, and advanced features.
Implement the Syncfusion Angular Sparkline component for compact data visualization. Use this skill to create sparkline charts, visualize small datasets inline, add markers or data labels, implement different sparkline types (Line, Column, Area, Pie, Win-Loss), or customize sparklines with tooltips, axis settings, and theme styling. Covers installation, basic rendering, type selection, marker configuration, data label formatting, advanced features, accessibility, and migration from EJ1.
Use when you need Kafka messaging in Quarkus with SmallRye Reactive Messaging — including channel/topic design, build-time Jackson serialization, typed @Channel/@Incoming, ack/failure strategies, retries/DLQ, idempotency, Dev Services, and Testcontainers integration tests. This should trigger for requests such as Add Kafka in Quarkus; Review Reactive Messaging consumers; Improve failure handling for Quarkus Kafka; Configure Quarkus Reactive Messaging Kafka channels; Add Quarkus Kafka failure strategy or DLQ handling. Part of Plinth Toolkit
Manage Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK. Use whenever the user needs DLF Next catalog/governance resource operations, including listing resources, create/update flows, status checks, and troubleshooting metadata workflow issues
Analyze session replay patterns across experiment variants to understand user behavior differences. Use when the user wants to see how users interact with different experiment variants, identify usability issues, compare behavior patterns between control and test groups, or get qualitative insights to complement quantitative experiment results. Also covers pairing the observed behavior with a linked survey when the user wants qualitative feedback beyond what recordings show
Retrieve year-over-year growth in balance sheet items including Total Assets, Total Liabilities, Shareholders Equity, Cash, and Inventories. Use when analyzing company financial position trends, capital structure changes, or liquidity management.
BaoStock is a free, open-source A-share data platform. No registration or API key required. It supports stock quotes, candlestick data, financial data, industry classifications, and index constituent queries. Use when the user mentions baostock, needs historical A-share quotes, financial statements, a trading calendar, or free, registration-free A-share data. Unlike tushare (more comprehensive data but registration required) and jqdatasdk (JoinQuant data), baostock is completely free with no restrictions, suitable for quick starts and low-cost data needs.
Use whenever the user wants to interact with Figshare - searching public datasets/articles, downloading Figshare files, listing their own articles/collections/projects, creating or updating articles, or uploading files (including large multi-part uploads) via the Figshare v2 REST API. Trigger on mentions of "figshare", figshare DOIs (10.6084/m9.figshare.*), figshare.com URLs, or phrases like "upload my dataset to figshare", "publish to figshare", "get figshare article".
Quantifies market sentiment, risk appetite, and trading crowding to help determine whether the current market is euphoric, balanced, cautious, or fearful. Suitable for position sizing, timing decisions, and sentiment reviews
Reference for the Pinecone MCP server tools. Documents all available tools—list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand which Pinecone MCP tools are available, how to use them, or what parameters they accept.
Extract and analyze business descriptions and competitive landscape from SEC filings using Octagon MCP. Use when researching company business models, market positioning, competitive advantages, industry dynamics, and strategic focus areas from Item 1 disclosures.
Implement Syncfusion Angular Circular Gauge component for radial data visualization. Use this when building circular gauges for dashboards, monitoring displays, performance metrics, speedometers, or KPI indicators. Covers installation, axes configuration, pointer types (needle, range bar, marker), ranges, styling, animations, and user interactions.
Implement interactive Range Navigator in Angular applications using Syncfusion. Covers data binding from local and remote sources, axis configuration (numeric and date-time), series types, tooltip customization, period selector setup, lightweight mode, RTL support, axis labels and formatting, grid ticks, print/export functionality (PNG, SVG, PDF), and accessibility features. Use this skill when creating data range selection tools, timeline navigators, and interactive data exploration components.
Create and configure Syncfusion Angular Sankey diagrams for flow visualization. Use this when visualizing weighted flows, processes, and hierarchical relationships. Supports node and link styling, legends, tooltips, events, accessibility features, and comprehensive data binding for complex flow diagrams.
Implement Syncfusion Angular Stock Chart component for displaying financial data and OHLC charts. Use this skill whenever users need to create stock charts, display candlestick or OHLC data, add technical indicators, implement date range selection, or work with time-series financial visualization. Includes series types, axis customization, interactive features, and export capabilities.
Create and customize Syncfusion Angular TreeMap components for hierarchical data visualization. Use this skill when you need to implement a TreeMap, visualize hierarchical data structures, configure multi-level layouts, apply color mapping, enable drilldown navigation, add labels and tooltips, configure legends, handle selection and highlight, export to images or PDF, print, or customize internationalization and accessibility. Covers installation, data binding, layout types, levels, color mapping, labels, tooltips, legends, drilldown, interactivity, print/export, RTL, locale formatting, and accessibility.
Automatically generates weekly KPI reports from multiple data sources, including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.
Execute deterministic, reproducible historical backtests from a start date, end date, and strategy concept using the Alpaca CLI plus agent-written workspace code. Use when the user wants to backtest a strategy, simulate historical trades, or return trades, diagnostics, and reproducibility artifacts.
Google Finance data via batchexecute (internal RPC API with no auth or API key). Quotes, 1-minute and 5-minute intraday OHLC, daily OHLC, bulk financials (income/balance/cash flow), earnings, analyst recommendations and opinions, company descriptions, peers, news, global indices (Dow/S&P/NASDAQ/VIX/DAX), and sector heatmaps. Covers US markets (NASDAQ/NYSE) and Argentine markets (BCBA). ⚠️ Unofficial API—read LIMITATIONS_TROUBLESHOOTING.md before production use.
Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.