Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Implement the Syncfusion Angular Query Builder component for visual query construction, dynamic filtering, and rule management. Use this when building visual filter UIs, creating query conditions programmatically, importing/exporting SQL or MongoDB queries, or customizing query builder templates. This skill covers data binding, column configuration with operators, rule groups, theming, and Angular forms integration for the QueryBuilder (ejs-querybuilder) component.
End-to-end headless setup of Trade Promotion Effectiveness (TPE) dashboards for a Trade Promotion Management (TPM) Cloud org, covering tenant pairing checks, permission sets, SSOT and Tableau Next enablement, C360 SDM verification, the TPM Accruals data kit install, business-period export, RTR Data Cloud export configuration, the TPM_PROMOTION_MEASURE Data Transform, TPE Analytics app install, and optional KPI dashboard customization. Use when a customer or admin wants to set up TPE dashboards, enable Trade Promotion Effectiveness, install the TPE analytics app, or set up and customize TPE dashboards with their own KPIs
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, rate limiters, or troubleshooting environment variables, serialization errors, rate limit issues, scanIterator hangs, or Next.js cache stale reads.
Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.
Use this skill when users ask how to build or customize Syncfusion PivotView pivot tables in Angular. Trigger for Angular pivot grid/OLAP, aggregation, data binding (JSON/remote), drill-down/drill-through, grouping, filtering, conditional formatting, exports (Excel/PDF/CSV), or pivot charts. Angular-only, not React/Vue/Blazor.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Official skill for recognizing and extracting tables from images and PDFs into Markdown format using ZhiPu GLM-OCR API. Supports complex tables, merged cells, and multi-page documents. Use this skill when the user wants to extract tables, recognize spreadsheets, or convert table images to editable format.
Implements Syncfusion Angular TreeGrid for hierarchical data with sorting, filtering, editing, exporting, paging, virtual scrolling, and advanced features. Supports configuration, CRUD, aggregates, templates, state persistence, and performance optimization in Angular applications.
A skill based on ByteHouse MCP Server for generating data asset catalogs and lineage analyses. Use it to retrieve database table schemas, generate data asset catalogs, and analyze lineage between tables. Use this Skill when users need these capabilities for a ByteHouse database.
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/TumblingWindow, materialize_features, streaming Kafka features). NOT for: endpoint ops (databricks-model-serving), MLflow evaluation (databricks-mlflow-evaluation).
Intelligent stock analysis skill. Enter a stock ticker (A-shares/Hong Kong/U.S. stocks) to automatically: 1. Fetch real-time quotes and historical K-line data 2. Calculate technical indicators (MA/MACD/RSI/volume/deviation rate) 3. Provide an overall score (out of 100) and buy/sell signals 4. Search the latest news 5. Perform AI analysis and output a decision dashboard. Trigger when the user provides a ticker for analysis, asks how a stock is doing, requests market analysis, etc. Example inputs: “Analyze TSLA PLTR,” “How is 600519 doing?” “Take a look at HK00700”
Extracts structured data from LLM responses using JSON schemas, Zod validation, and function calling for reliable parsing. Use when users request "structured output", "JSON extraction", "parse LLM response", "function calling", or "typed responses".
Retrieve real-time or historical cash flow statement data including Net Income, Operating Cash Flow, Investing Cash Flow, Financing Cash Flow, Free Cash Flow, and Cash Position for public companies. Use when analyzing cash generation, capital allocation, or liquidity trends.
Implement the Syncfusion Angular Maps component for geographical data visualization. Use when users need to display maps, visualize geographical data with markers and bubbles, integrate map providers like Bing or OpenStreetMap, render GeoJSON shapes, or create choropleth maps with color-coded regions. Supports interactive features like zooming, panning, layers, legends, tooltips, color mapping, and accessibility
Aggregates trending searches from seven platforms, including Douyin, Weibo, Bilibili, Kuaishou, Zhihu, Toutiao, and Baidu, so you don’t have to check each one individually. Ask what everyone is talking about today, which trends are worth following, or how a trend is developing. Browse rankings, export reports, or subscribe to updates.
ByteHouse hybrid search Skill supports full-text search + vector search, combining them with the RRF reranking algorithm for more precise results. Use this Skill when the user needs full-text search + vector search in a ByteHouse database, combined with RRF reranking for more precise results.
Add official Railway database services (Postgres, Redis, MySQL, MongoDB). Use when user wants to add a database, says "add postgres", "add redis", "add database", "connect to database", or "wire up the database". For other templates (Ghost, Strapi, n8n), use the railway-templates skill.
Implement and customize Syncfusion Angular Accumulation Charts (Pie, Doughnut, Pyramid, Funnel) with data binding, labels, legends, and tooltips. Use this when creating accumulation charts, configuring chart types, customizing data visualization, adding annotations, or handling interactive chart events in Angular applications
In-depth analysis of Xiaohongshu accounts, with a seven-dimension quantitative scoring and diagnostic report that can be exported as HTML. Use when users provide a Xiaohongshu account for account diagnosis, rednote analysis, account health assessment, business value assessment, multi-account comparison, or optimization strategy planning.
Debug Bright Data Scraping Browser sessions using the Browser Sessions API. Use this skill when the user encounters a Bright Data browser session error, puppeteer stack trace, failed scraper run, or asks about session bandwidth, duration, captchas, or connection issues. Also use when a Bright Data scraper produces unexpected results such as empty data, 0 items found, missing products, or fewer results than expected — session data can reveal whether the issue is network/proxy-side (blocks, captchas, redirects, timeouts) or client-side (selectors, extraction logic). Triggers on phrases like 'why did my session fail', 'debug my bright data session', 'check my scraping browser sessions', 'how much bandwidth did my scraper use', 'got 0 results', 'found 0', 'scraper returned empty', 'scraper not working', 'script didn't work', or when a Bright Data error code or brd.superproxy.io stack trace appears in the conversation. Requires BRIGHTDATA_API_KEY environment variable
Create, edit, and analyze office documents (PDF, DOCX, PPTX, XLSX). Use when working with PDFs, Word documents, PowerPoint presentations, or Excel spreadsheets. Covers text extraction, form filling, document creation, and data analysis.
Use when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as reviewing or implementing Micronaut Data repositories and entities; adding transactions, pagination, or projections in the Micronaut persistence layer; modeling Micronaut Data entities and repositories; reviewing Micronaut Data transactions and pageable queries; and improving projections or optimistic locking with Micronaut Data. Part of Plinth Toolkit
One-step setup and connection diagnostics for a Dataverse environment — installs tools, authenticates, registers MCP, writes `.env`, and verifies active profiles and linked ERP endpoints. Use when starting a new project, switching environments, fixing authentication, troubleshooting MCP, or checking existing Dataverse / Finance and Operations connectivity or linkage.
Fast Python framework for building interactive web apps, dashboards, and data visualizations without HTML/CSS/JavaScript. Use when the user wants to create data apps, ML demos, dashboards, data exploration tools, or interactive visualizations. Transforms Python scripts into web apps in minutes with automatic UI updates.
Analyze VictoriaMetrics time series cardinality to find optimization opportunities — unused metrics, high-cardinality labels, problematic label values, histogram bloat. Produces actionable report with relabeling and stream aggregation recommendations. Use whenever the user mentions cardinality analysis, series reduction, unused metrics, high cardinality labels, TSDB optimization, storage cost reduction, metric cleanup, too many time series, or wants to reduce cardinality. Also trigger when discussing relabeling strategies, streaming aggregation opportunities, or "which metrics can we drop".
DataWorks Workspace Lifecycle Management Skill. Used for creating workspaces, querying workspace information, and adding workspace members with role authorization. Triggers: "DataWorks", "workspace management", "workspace", "member authorization", "role assignment"
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
Configure, run, and audit DsarPolicy Right-to-Portability exports end to end: author the data map over a subject's related records, resolve a request's subject (email/name/id) to a root-entity record, run an export against an ACTIVE policy (poll a couple of times, then ask before continuing; download once terminal), and read run history. Use when the user needs to set up, edit, execute, or inspect a DsarPolicy or Right-to-Portability (RTP) export, or audit which personal data a policy does not cover yet. TRIGGER when: the user configures a DsarPolicy or RTP data map, authors DsarPolicyPath or DsarPolicyField metadata, runs or exports a subject's portable data, downloads an RTP export file, reviews DsarPolicy run history, or asks what personal data the policy does not cover yet (coverage gap analysis). DO NOT TRIGGER when: the user wants to erase, delete, or remove a subject's records (RTP is portability export, not erasure — this skill deletes nothing), mask sandbox PII, or deploy unrelated metadata.
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless pipelines.
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.