Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Use when grooming hair or fur in Maya with XGen (Interactive Groom splines or legacy descriptions): scalp hair, eyebrows, eyelashes, fur, guides, clumps, noise, parting, density maps, a fill layer, aiStandardHair shading, noisy or flickering hair renders, hair that must move (Linear Wire, nHair, Alembic caches), or a groom for Unreal (groom Alembic, cards). Also when XGen hair looks CG, clumps look uniform, the scalp shows through, or an XGen script fails.
Transform a user-supplied photo into an expressive minimal zine poster made only from original source-derived illustration, an artistic proposition, emotional tension, visual metaphor, spacious negative space, art-directed high-chroma color, and unconstrained authorial typography. Let wording, language, amount, placement, type voices, scale, direction, legibility, and image interaction follow expression and aesthetic judgment rather than presets. Preserve source orientation by default with a 3:5 portrait output or 5:3 landscape output. Add source-derived distributed supporting accents and a natural isolated-contour option alongside adaptive paper-edge transitions. Support an exact `单色块模式` trigger for one contiguous saturated color field with all remaining forms in neutral ink. Use for authored abstract or editorial reinterpretations that communicate an emotion or idea without embedding, cropping, tracing, or preserving the original photographic material in the final image.
Onboard AI agents into the Senpi trading platform on Hyperliquid. Walks through account creation, API key setup, MCP server configuration, skill discovery, and first-trade guidance. Includes a mandatory skill update check that surfaces new or updated skills after onboarding. Use when user says "set up Senpi", "get started with Senpi", "connect to Senpi", "install Senpi", "onboard to Senpi", or when an agent needs to start trading on Hyperliquid via Senpi.
CI-only Simplify & Harden workflow for pull requests using gh-aw (GitHub Agentic Workflows). Runs headless scan-and-report checks for simplify/harden/document, posts structured findings, and can block merges on critical or advisory classes. Use when: you want automated quality/security review in CI without interactive approvals.
Implement Syncfusion Blazor button components including Button, ButtonGroup, CheckBox, Chip, DropdownMenu, FloatingActionButton, ProgressButton, SpeedDial, SplitButton, and ToggleSwitch. Use this skill when working with button-related components in Blazor applications. Covers installation, configuration, styling, accessibility, event handling, and advanced features for all button component types.
Comprehensive token analysis combining price, market cap, unlock schedule, DeFi deposits, and yield opportunities. Use when the user asks to analyze a token, research a token, check token fundamentals, or wants full token intelligence including vesting and DeFi usage.
Answer ZenMux questions by reading the latest official docs. Use for product features, APIs, integration, pricing, models/providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image/video generation, web search, long context, observability, logs, cost tracking, subscriptions, PAYG, invoices, FAQ, privacy, terms, compliance, and tool guides for Claude Code, Cursor, Cline, Codex, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, and GitHub Copilot. Trigger on "ZenMux docs", "ZenMux API", "how to use ZenMux", "models", "pricing", "ZenMux 怎么用", "文档", "快速开始", "API 参考", "模型路由", "供应商路由", "订阅", "按量计费", "接入", "配置". Also use when ZenMux is the project context and the user asks about LLM API aggregation, model routing, or provider fallback.
Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. This should trigger for requests such as Improve the code with Data-Oriented Programming; Apply Data-Oriented Programming; Refactor the code with Data-Oriented Programming; Model Java data with records and pure functions; Separate Java behavior from immutable data structures; Validate data integrity with pure Java functions. Part of Plinth Toolkit
Isolates profiles for multi-provider setup and switching models in separate terminal windows (Kimi, MiniMax, DeepSeek, GLM, StepFun, Anthropic). Use for provider switching, csk/csd/csg aliases, CLAUDE_CONFIG_DIR, ~/.claude-profiles, profile drift (missing skills/hooks, symlinks, settings), context-window setup ([1m], CLAUDE_CODE_MAX_CONTEXT_TOKENS), or reducing startup context from preloaded MCP tool schemas.
Console apps and CLI tools on .NET 10: System.CommandLine 2.x (RootCommand, Option<T>, SetAction, InvokeAsync), Generic Host + DI in console apps, exit codes, stdout/stderr discipline, Ctrl+C cancellation, interactive vs piped use, dotnet tool packaging, and `dotnet run app.cs` file-based apps. Load when the user mentions "console app", "CLI", "command line", "System.CommandLine", "dotnet tool", "exit code", "stdin", "args parsing", or "file-based app"
Create new scientific tools for the ToolUniverse framework with proper structure, validation, and testing. Use when users need to add tools to ToolUniverse, implement new API integrations, create tool wrappers for scientific databases or services, expand ToolUniverse capabilities, or follow ToolUniverse contribution guidelines. Supports creating tool classes, JSON configurations, validation, error handling, and test examples.
This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.
Comprehensive Flutter UI/UX development skill for creating beautiful, responsive, and animated mobile applications. Use when the user asks to: (1) Build Flutter UI components or screens (2) Implement animations and transitions (3) Design responsive layouts (4) Create custom widgets and themes (5) Optimize UI performance and accessibility. Triggers: "create Flutter UI", "build Flutter screen", "Flutter animations", "responsive Flutter layout", "custom Flutter widgets", "Flutter theme design"
Use this skill to look up patent family information from PatSnap by patent ID or publication number. Trigger it when the user mentions patent families, patent family searches, simple families, INPADOC families, PatSnap families, finding family patents, patent equivalents, family members, finding related patents across countries, patent family, family patents, patent equivalents, cross-border patents, PatSnap, or INPADOC family. Even if the user does not explicitly say “patent family,” trigger this skill when their request involves looking up family members, equivalent patents, or related cross-border applications for one or more patents.
This skill should be used when the user adds a "load balancer", asks about "L4 vs L7" (transport vs application layer), picks a balancing algorithm ("round robin", "least connections", "weighted", "IP hash"), configures "health checks", needs "sticky sessions" / "session affinity", adds a "reverse proxy", does "SSL/TLS termination", spreads "traffic distribution" across an "autoscaling group", or wants a stateless web tier behind a single entry point. Use it whenever a design has more than one server behind one address, or a single box is the entry-point bottleneck or SPOF, even if the user doesn't say "load balancer".
Upgrades a project's Metabase Modular embedding SDK (@metabase/embedding-sdk-react) or Modular embedding (embed.js) version. Use when the user wants to upgrade their Metabase modular embedding integration to a newer version.
/c-level-agents:post-mortem [decision] — Honest retrospective on an executed decision, scored against original assumptions and dissent. Closes the strategic sprint loop. Use when a decision hits its 90-day review checkpoint or its kill criteria trigger — e.g. scoring last quarter's pricing change against its pre-committed success metrics.
Use when a Maya task involves simulation or procedural effects: nCloth or Nucleus (a cape, skirt, flag or garment on an animated character, cloth through the body, jittery or stretchy cloth), nParticles, Bifrost graphs (Aero smoke, dust puff, mist, fire, liquids, MPM cloth, snow, sand, "Bifrost smoke"), MASH scattering or motion graphics, sim caches (nCache, Alembic, OpenVDB, file_cache, USD) or FX delivered to lighting or a game engine (flipbook sprites).
Use when modeling in Autodesk Maya, such as hard-surface props, weapons, vehicles, a sci-fi crate, a game-ready or SubD film model, or a character or creature base mesh, or when asked to "clean up this model" or a scene before rigging or UVs. Also for support loops vs bevels vs creases, Smart Bevel, weighted normals, hard edges, pinching or wobbly highlights, a faceted cage, flipped faces, a triangle budget, n-gons, non-manifold geometry, mirroring a half, a low poly from a high poly, or deformation-ready topology.
Use when turning a dense sculpt, scan, ZBrush export or AI-generated mesh into animation-ready or game-ready topology in Maya without a mouse ("clean up this AI mesh", "retopo this character", Quad Draw, Retopologize), testing it deforms before rigging (bad elbow or wrist bend, lids popping through the eyes), or unwrapping UVs, cutting seams, setting texel density, mip-safe padding, UDIMs, lightmap UVs, stacking mirrored shells, or preparing a low poly and cage for baking. Keywords: edge flow, eye and mouth loops, Unfold3D, bake prep.
Execute sensitive browser actions (login, payments, form filling) outside the core agent loop using a dedicated CLI tool. Use when Claude needs to handle credentials, payment information, or other sensitive data in browser automation workflows. Triggers when users ask to log into websites, fill payment forms, or perform authenticated browser actions where sensitive data must be kept secure and separate from the main agent context.
Describe what an existing SigNoz alert rule does in plain language: the signal it watches, the threshold and evaluation behavior, the notification routing, and a one-line fire-frequency summary so the user knows whether the alert has been active. Make sure to use this skill whenever the user asks "what does this alert do", "explain alert X", "walk me through this rule", "how does my [Y] alert work", "is this alert configured correctly", or otherwise asks for an interpretation of an existing alert's configuration. Static explanation only; for diagnosing a specific firing incident, use `signoz-investigating-alerts`.
Build, run, and improve a Security Operations Center—alert prioritization, runbook authoring, escalation criteria, on-call structure, alert-tuning workflow, MTTD / MTTR / fidelity KPIs, analyst tiering, and shift handoffs. Use when the user mentions 'SOC,' 'security operations,' 'SOC analyst,' 'alert triage workflow,' 'runbook,' 'escalation,' 'on-call,' 'SOC tiering,' 'tier 1 / tier 2,' 'MTTD,' 'MTTR,' 'alert fatigue,' 'shift handoff,' 'SOAR,' or wants to design or improve a security operations team.
Detects the user's writing style requirements and loads the corresponding guidelines. Activates automatically when users mention keywords such as conversational, down-to-earth, realistic, literary, serious literature, pure literature, online fiction, power fantasy, fast-paced, classical style, wuxia, classical Chinese flavor, minimalist, Hemingway, or restrained. Use when discussing fiction style, writing voice, or creative direction.
Sui CLI client configuration, address management, and token acquisition. Use this skill when the user needs to configure the Sui client for the first time, manage environments or addresses, switch networks, get faucet tokens, check balances, recover keys from a recovery phrase, merge coin objects, or look up transactions on explorers. Also use when the user sees “Cannot find gas coin for signer address” errors or asks about sui client commands, client.yaml, sui.keystore, SuiVision, or Suiscan.
Quantitative drug-target validation pipeline. Scores druggability, selectivity, safety profile, ADMET feasibility, and structural tractability with a composite Target Validation Score (0-100) and GO/NO-GO recommendation. Use for go/no-go decisions on a target before commit-to-medchem, target prioritization across a list, and target-deselection rationale.
Use when creating or editing a README.md file in any project or package. Analyzes the codebase from the README location, identifies missing or stale documentation, and generates thorough, human-sounding README content with copy-pasteable code blocks and practical examples.
Generate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.
Analyze Java project architecture at a macro level, including package structure, module boundaries, dependency direction, and layering. Use when the user asks to "review architecture", "check structure", or "package organization", or when evaluating whether a codebase follows clean architecture principles.
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
Implements complete dark/light mode theming systems using CSS variables, Tailwind dark mode, React context, and system preference detection. Use when users request "add dark mode", "theme toggle", "dark theme", "light mode switch", or "color scheme".
Professional print design guidelines for producing high-quality printed output from HTML/CSS. Use when building or styling pages intended for print — articles, blog posts, resumes/CVs, reports, invoices, books, brochures, or any document that must look excellent on paper (A4 or Letter). Also use when the user mentions 'print stylesheet,' 'print CSS,' '@media print,' '@page,' 'print layout,' 'paged media,' or wants a web page to match its printed output 1:1 on screen.
Use for HarmonyOS NEXT development help and local DevEco automation. Covers ArkTS/ArkUI/NDK API lookup, offline guide navigation, DevEco Studio and HarmonyOS Emulator tasks, hdc/uitest/aa/bm/hilog/hidumper diagnostics, ArkWeb/WebView DevTools and CDP evidence, and private DevEco interfaces such as CodeGenie, MCP, LanceDB, devecostudio://, ArkUI Inspector, Previewer, Profiler, Doctor, and UxTestService offline UI/UX audits.
Jungle Scout keyword Share of Voice analysis returns brand voice share across the top 3 pages of Amazon search results (organic/sponsored/combined), exact 30-day search volume, median PPC bids, and TOP3 ASIN click and conversion data across 10 marketplaces. Trigger this skill when users mention brand market share, brand voice share, brand distribution in search results, Share of Voice, SOV analysis, brand competitive landscape, ad placement share, organic ranking brand share, PPC bid analysis, brand dominance analysis, keyword share of voice, brand visibility, organic vs sponsored share, brand dominance, PPC bid analysis, search result brand distribution, competitive landscape, weighted SOV, or top ASIN clicks conversions. Trigger this skill even if the user does not explicitly mention "Share of Voice" or "SOV," as long as their request involves analyzing brand market share or the competitive landscape in the search results for an Amazon keyword.
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.