Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Implements the Syncfusion .NET MAUI DateTime Range Slider (SfDateTimeRangeSlider) control. Use when implementing range sliders, date range pickers, time range selectors, dual-thumb sliders, or interactive range selection controls in .NET MAUI applications. This skill covers installation, configuration, track styling, labels, ticks, dividers, tooltips, thumb customization, and the Liquid Glass Effect.
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 Syncfusion .NET MAUI Segmented Control (SfSegmentedControl). Use when working with segmented controls, segment buttons, tab-like selection, button groups, or filter buttons in MAUI applications. This skill covers installation, item population, selection indicators, appearance customization, layout configuration, disabled segments, and events.
Implements Syncfusion .NET MAUI Slider (SfSlider) control. Use when working with sliders, numeric value selection, or interactive value controls. This skill covers installation, track configuration, labels with formatting, ticks and dividers, tooltips, thumb customization, discrete selection with StepSize, deferred updates, and LiquidGlass effect.
Implement 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.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Drive the real `10x` CLI (@przeprogramowani/10x-cli) end to end the way a learner does — login, list, get, sync, changelog, doctor — against a local fake delivery API with isolated config and project dirs, and capture stdout/stderr/exit codes, PTY screens and file-tree hashes as proof. Use after changing a command, the writer, conflict handling, auth or the API client, when unit tests pass but you need to see the shipped behaviour, or when asked to "verify", "run the CLI", "prove it works".
Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
Analyze and optimize X (Twitter) posts for viral potential and reach using heuristics inspired by X's published open-source recommendation architecture. Use when user wants to: (1) Check if a post will go viral, (2) Score a tweet for engagement potential, (3) Optimize or rewrite a tweet for algorithmic reach, (4) Understand why a tweet underperformed, (5) Build audience in a specific niche. Triggers: "Check if this will go viral", "Make this post buzz", "Will this tweet perform well?", "Optimize my tweet", "How can I make this viral?", "rewrite this tweet", "improve my tweet engagement", "twitter algorithm", "tweet reach", "debug underperforming tweet", "バズるかチェックして", "Xでバズる投稿にして", "伸びるかチェックして", "この投稿を伸ばして", "投稿を改善して", "ツイートを最適化して"
Use when you need framework-agnostic MongoDB and non-relational database query guidance—document schema design, collection modeling, JSON Schema validation, indexes, aggregation pipelines, query performance, consistency trade-offs, transactions, and operational safety—without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests such as Design MongoDB document schemas; Review MongoDB queries and indexes; Improve aggregation pipeline performance; Model non-relational data access patterns; Review NoSQL consistency and transaction trade-offs. Part of Plinth Toolkit
Expert guidance for writing Rails controllers with Action Controller. Use when writing controller actions, strong parameters, before_action filters, rendering responses, redirects, flash messages, sessions, cookies, rescue_from error handling, streaming, CSRF protection, or HTTP authentication. Covers params permitting (especially nested params — the #1 source of agent bugs), callbacks, request/response objects, and security. Trigger on "controller", "action", "strong parameters", "params", "before_action", "redirect", "render", "flash", "session", "cookies", "rescue_from", "CSRF", "permit", "expect", "filters", "callbacks".
Expert guidance for Rails Active Storage — file uploads, attachments, image variants, direct uploads, and cloud service configuration. Use when working with file uploads, has_one_attached, has_many_attached, image processing, variants, S3/GCS/Azure storage, direct uploads, or file attachment patterns in Rails applications.
Expert in asynchronous programming patterns across languages (Python asyncio, JavaScript/TypeScript promises, C# async/await, Rust futures). Use for concurrent programming, event loops, async patterns, error handling, backpressure, cancellation, and performance optimization in async systems.
Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks "what endpoints can I clean up?", "are any of my endpoints broken?", "which materialised versions are still being called?", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.
Expert patterns for Azure Functions development, including the isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: Azure Function, Azure Functions, Durable Functions, Azure serverless, function app.
Expert knowledge for Azure Service Bus development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when securing with Entra/SAS, configuring queues/topics, using sessions/forwarding, JMS/AMQP integration, or geo-DR, and for other Azure Service Bus-related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Queue Storage (use azure-queue-storage), Azure Notification Hubs (use azure-notification-hubs), or Azure Relay (use azure-relay)
Evaluate product bets and shape pitches using Shape Up's appetite model and Bezos's Type 1/Type 2 decision framework. Use when asked to assess a product bet, evaluate initiative risk, decide resource allocation, or shape a pitch for a new feature or project.
Query BingX perpetual swap market data, including ticker prices, order book depth, recent trades, funding rates, klines/candlesticks, open interest, mark price, contract info, and TradFi trading schedules. Use when the user asks about BingX swap or perpetual futures prices, order books, candlestick charts, funding rates, trading sessions, or market statistics
BingX perpetual swap trading — place/cancel orders, manage positions, set leverage, and configure margin settings. Use when the user asks about BingX swap trading, order placement, cancellation, position management, leverage, or margin type settings.
Import a 3D model (GLB/GLTF) into Blender and apply a sleek, glossy product-shot finish with studio lighting. Trigger when asked to polish a 3D model, make a Meshy AI model look shiny, apply product lighting in Blender, or prepare a 3D asset for product shots.
The craft of creating and maintaining cohesive brand identity systems. Branding translates brand strategy into tangible visual and verbal identity—logos, color systems, typography, imagery, and voice guidelines that work together to make a brand recognizable and memorable. This skill covers logo design, visual identity systems, brand guidelines, naming, verbal identity, and brand application across touchpoints. Great branding is invisible when done right—it feels inevitable, as if the brand couldn't have looked any other way. Use when "logo, branding, brand identity, brand guidelines, visual identity, color palette, typography, brand book, naming, rebrand, brand refresh, brand system, branding, identity, logo, visual-design, guidelines, naming, typography, color" mentioned.
A ByteHouse cluster diagnostic and health-check tool for checking cluster health, diagnosing issues and anomalies, viewing node status, and analyzing performance metrics. Use this Skill when users need to check ByteHouse cluster health, diagnose cluster issues and anomalies, view node status, or analyze performance metrics.
Smart video editing: Describe the clips, people, or events to keep in natural language, and automatically extract edits from long videos (reference images can be used to match people or objects). Trigger when the user wants to find clips by description, extract highlights, or edit videos intelligently
A read-only tool for searching and reading cloud documents, spreadsheets, multidimensional tables, and knowledge bases (Wiki) via the Feishu Open Platform API. Use it to search Feishu for documents, spreadsheets, multidimensional tables, knowledge base spaces, or nodes, and read their contents. Also activates for: Feishu search, Feishu search docs sheets base wiki, Lark docs sheets base wiki search, search Feishu docs spreadsheets multidimensional tables knowledge base
Accessibility audit and remediation for Canvas LMS courses. Scans content for WCAG-oriented issues, generates prioritized reports, guides fixes, and verifies remediation. Use when asked to "audit accessibility", "check WCAG", "fix accessibility issues", or "run accessibility review".
Use this skill when the user needs to set up a DataHub connection, install the DataHub CLI, configure authentication, verify connectivity, set default scopes, or create agent configuration profiles. Triggers on: "set up DataHub", "connect to DataHub", "install datahub CLI", "configure DataHub", "set default platform", "focus on domain X", "create profile", or any request to establish, configure, or troubleshoot DataHub connectivity.
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.