Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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When the user wants to design a warehouse, optimize warehouse layout, determine facility size, or configure storage systems. Also use when the user mentions "warehouse layout," "facility design," "warehouse sizing," "storage systems," "material flow," "pick path design," "dock configuration," or "space utilization." For warehouse location selection, see facility-location-problem. For slotting existing warehouses, see warehouse-slotting-optimization.
Provides comprehensive guidance for Webpack bundler including configuration, loaders, plugins, code splitting, optimization, and development setup. Use when the user asks about Webpack, needs to configure Webpack, set up build pipelines, optimize bundles, or work with Webpack plugins.
Read your WeCom (企业微信 / WeCom / Work Weixin) contacts, send app & group messages, create and read WeDoc docs/smart sheets, and manage schedules (日程) and meetings (会议) via the WeCom server-side API as a self-built app. Use when the user mentions 企业微信, WeCom, 通讯录成员/部门, 应用消息, 群机器人/应用群聊, 企业微信文档/智能表格, 企业微信日程 or 会议, or a qyapi.weixin.qq.com call.
WooCommerce extension code review for HPOS compatibility, payment gateway security, cart optimization, and template overrides. Use when reviewing WooCommerce extension code, payment gateway development, shipping methods, custom product types, cart operations, checkout customization, or when user mentions "WooCommerce review", "WooCommerce extension", "WooCommerce plugin", "payment gateway", "shipping method", "HPOS", "High-Performance Order Storage", "wc_get_orders", "WC_Payment_Gateway", "WC_Shipping_Method", "cart fragments", "WooCommerce hooks", "WooCommerce template", "shop_order", "WooCommerce performance", "Action Scheduler", "WooCommerce REST API", "WooCommerce Blocks", "checkout block", "woocommerce_checkout". Detects HPOS issues, CRUD violations, payment security anti-patterns, performance problems, and template override mistakes in WooCommerce 8.2+ through 10.x code.
Searches X/Twitter for real-time perspectives, dev discussions, product feedback, breaking news, and expert opinions using the X API v2. Provides search with engagement sorting, user profiles, thread fetching, watchlists, and result caching. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", (2) user needs recent X discourse on a topic (library releases, API changes, product launches, industry events), (3) user wants to find what devs/experts/community thinks about a topic. NOT for: posting tweets or account management.
Control, organize, diagnose, design, personalize, and answer product knowledge questions for a Yeelight smart home. Use for Yeelight homes, rooms, areas, gateways, devices, groups, scenes, automations, lighting moods, preferences, local memory, recommendations, product manuals, FAQ, SKU lookup, and product pedia consultation. Requires the locally installed yeelight-home CLI runtime and must use only yeelight-home invoke --stdin.
Connect to the 1inch MCP server for documentation search, SDK examples, token swaps, limit orders, authenticated product API access, WalletConnect, Aqua analytics, and (when registered) org-scoped log lookup. Use when the user asks about 1inch integration, DeFi swaps, classic or Fusion or cross-chain flows, orderbook, portfolio, gas or spot price APIs, API keys, MCP or IDE setup, or blockchain development with 1inch.
Use this skill to brainstorm ad concepts across problem, solution, comparison, proof, and curiosity angles, formats, and visual styles. Trigger it when planning a campaign, refreshing stale creative, testing messaging, or preparing creative briefs.
Use this skill to gate Elixir/OTP systems on BEAM runtime architecture with a pass/fail adversarial review — a single blind reviewer subagent judges a diff or file set against 23 decidable rules covering supervision and failure design (restart strategy vs child dependencies, blocking init, durability in terminate, restart amnesia, unsupervised fire-and-forget), backpressure (cast on externally-driven ingest, push pipelines without demand, silenced or retried call timeouts, unbounded fan-out), event delivery semantics (PubSub treated as durable, jobs enqueued outside the creating transaction, non-idempotent consumers under at-least-once delivery, cross-source ordering, telemetry handlers that block or detach), shared-state races (check-then-act on ETS/Registry, hot reads through one mailbox, persistent_term churn), distribution (global singletons in netsplits, node-local uniqueness assumed cluster-wide), and runtime mechanics (wall-clock durations, sub-binary leaks, minted atoms). Verdicts only, never fixes.
Use when an agent should drive a goal in one of this repo's domains to a verified close, before starting the work. Compiles the goal into a task plan with goal_compiler.py and runs it through loop_controller.py, which verifies each task, caps retries and escalates.
Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical agents".
Comprehensive qualitative research methods assistant supporting thematic analysis (Braun & Clarke), grounded theory (Strauss & Corbin; Charmaz), interpretative phenomenological analysis (IPA), content analysis, narrative inquiry, ethnography, case study methodology (Yin), coding techniques (open/axial/selective), NVivo-style workflows with Python alternatives, trustworthiness criteria (Lincoln & Guba), reflexivity, and member checking. Use when designing or analyzing qualitative research — thematic analysis, grounded theory, coding data, phenomenology, IPA, ethnography, case study, narrative inquiry, content analysis, qualitative coding, NVivo, trustworthiness, member checking, reflexivity, interview analysis, or focus group analysis. Part of the AlterLab Academic Skills suite.
Analyze a Figma COMPONENT_SET as a state machine for code generation — extract variant axes (state/size/etc.), map state variants to CSS pseudo-classes (hover→:hover, focus→:focus-visible, disabled→:disabled, error→[aria-invalid]), and compute per-variant visual diffs (only what changes per state). Use when generating an interactive component from a Figma variant set — triggers: 'analyze this component set', 'turn these variants into CSS states', 'generate a button/input/checkbox from Figma variants', 'what changes between the hover and default state', 'map Figma variants to component props', 'extract the state machine for this component'. Resolves bound variables to token names. NOT covered by the native MCP's get_design_context/get_metadata, which don't give you a variant-axis→CSS-state machine.
A reference for Android app development (Kotlin) background and asynchronous processing. Jetpack androidx WorkManager: Worker, CoroutineWorker, WorkRequest, Constraints, WorkInfo, WorkContinuation, expedited work, and testing. Service: foreground services, bound services, AIDL, Messenger. AlarmManager, PendingIntent, BroadcastReceiver, JobScheduler, Doze. Kotlin coroutines, Flow, StateFlow, SharedFlow, Channel.
Reverse engineer, debloat, de-ad, patch, or re-sign Android APKs, and analyze their runtime and server-side behaviour. Use for an .apk/.aab/.dex/.so sample, smali or dex patching, Frida hooking, repacking, ad or SDK removal, API probing, or deciding whether a client-side patch can work. Covers recon, anti-tamper, membership limits, surgical dex patching, repack pitfalls, device setup, and a failure catalogue.
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
Swift Standard Library, Concurrency, and Observation reference. Protocols/generics, async/await, actor, SerialExecutor, Sendable, Task, TaskGroup, AsyncSequence, AsyncStream, Continuation (CheckedContinuation), Observable, @Observable, Observations, ObservationRegistrar, Span, InlineArray, RangeSet, Equatable, Hashable, Comparable, Identifiable, Optional, Codable, Result, generics, some/any.
Use when the user wants to run a prepared AWS FIS experiment where the CloudFormation stack has already been deployed. Triggers on "execute FIS experiment", "run FIS experiment", "start chaos experiment", "执行 FIS 实验", "运行混沌实验", "执行故障注入实验", "run the experiment in [directory]", or when the user provides an FIS experiment template ID (e.g. EXT1a2b3c4d5e6f7). Does NOT deploy infrastructure — only checks that it is already deployed.
Axios - promise-based HTTP client for browser and Node.js USE WHEN: user mentions "Axios", "HTTP requests", "API calls", "interceptors", "Axios instance", asks about "how to make HTTP calls", "configure Axios", "add auth header", "handle HTTP errors" DO NOT USE FOR: Fetch API - use `http-clients` instead; ky/ofetch - use `http-clients` instead; GraphQL clients - use `graphql-codegen` instead; tRPC - use `trpc` instead
Builds local vector search, RAG, embeddings, and semantic search on the Azure SQL Database container using the native VECTOR type and VECTOR_DISTANCE. Use when you need to store embeddings, do similarity search, top-k nearest neighbor, cosine distance, retrieval-augmented generation, "find similar documents", chatbot memory, or semantic lookup against a local SQL database. Use this instead of pgvector, FAISS, Chroma, Pinecone, or a separate vector store when the data already lives in (or can live in) Azure SQL. Covers the VECTOR(n) column type, inserting embeddings with CAST(CAST(? AS NVARCHAR(MAX)) AS VECTOR(n)) where the dimension is a literal, a pluggable embed() so only the endpoint changes for cloud, and a working CREATE VECTOR INDEX with the two errors that block it. Provisions appdb on master first so every script runs on a fresh container.
List storefront sites, check site status, and manage cartridge paths on B2C Commerce instances using the b2c CLI. Use this skill whenever the user needs to discover site IDs, check which storefronts are online or offline, get site configuration as JSON, or view/modify the ordered cartridge path for a site or Business Manager. Also use when the user needs site information for scripting, CI/CD pipelines, or as input to other commands — even if they just say "what sites do I have" or "add this cartridge to my site".
Generate logo creative directions, image-generation prompts, and optionally direct logo images for company logos, brand logos, cultural/creative merchandise logos, product logos, campaign and advertising logos, event logos, app logos, sub-brand logos, and related visual identity marks. Use when the user asks for logo concepts, logo prompt writing, logo direction, brand symbol ideas, direct logo image generation, or revisions to an existing logo concept.
When touching existing code and wanting to leave it better. Use when the user says "clean this up while I'm here," "should I fix this," "tech debt," "while I'm in this file," or "incremental improvement." For full refactoring, see solid or separation-of-concerns.
The entry point for any brand work. Gathers the brand's existing assets itself from just a URL (crawling the site, following its links to social and press)—or, for a brand that doesn't exist yet, starts from the name and the idea—diagnoses how much should change, routes to the right path, and gets or makes the brand context document every other design skill reads. Use at the start of any design project, or when the user mentions 'brand context,' 'set up the brand,' 'brand guidelines,' 'our visual identity,' 'rebrand,' 'refresh our brand,' 'what's our brand,' 'starting a new brand,' 'we don't have a website yet,' or wants to stop re-explaining their colors, type, and visual direction on every task. Creates and maintains `.agents/brand.md`.
Build terminal UIs with Charmbracelet (Bubble Tea, Lip Gloss, Gum). Use when: Go TUI, shell prompts/spinners, "make CLI prettier", adaptive layouts, async rendering, focus state machines, sparklines, heatmaps, kanban boards, SSH apps.
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.