Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Manage 1Password Developer Environments and local .env mounts through the local 1Password MCP server, without exposing secret values. Use when the user asks to set up environment variables for a repo, store or configure API keys and secrets in 1Password, mount or create a local .env file from 1Password, inspect 1Password Environment variable names, or work with the 1Password MCP server.
Add Temps error tracking to applications using the Sentry-compatible SDK. Temps exposes a Sentry-compatible DSN that works with the official Sentry SDK for each language/framework — no code changes beyond initialization are required. Use when the user wants to: (1) Add error tracking to any app (React, Next.js, Vue, Svelte, Angular, Node.js, Python, Go, Rust, Ruby, Java, PHP, .NET, React Native, Flutter), (2) Wire up uncaught exception and unhandled promise rejection capture, (3) Configure session replay for errors, (4) Upload source maps for readable stack traces, (5) Report releases and environments, (6) Capture custom errors/messages. Triggers: "add error tracking", "add sentry", "track exceptions", "report errors", "temps error tracking", "wire up error monitoring".
Complete or redo favicon.svg for documentation sites, frontend sites, or multiple sites in a monorepo. Must be used when the user mentions favicon, browser tab icons, Iconify, Lucide style, VitePress/VuePress documentation sites, public/favicon.svg, head link icon, or that the icon is ugly / a mess / should have no background block; especially suited to designing local SVG favicons for multiple VitePress sites in bulk and configuring head explicitly.
Build, extend, and configure AEM components end-to-end. Covers component node structure (cq:Component), Touch UI dialogs (cq:dialog with Granite UI), Sling Models, client libraries, edit configuration (cq:editConfig), and content templates. Use when creating new AEM components, adding or modifying component dialogs, wiring Sling Models, setting up clientlibs, extending Core Components, configuring edit behavior, or troubleshooting component rendering. Also activate when the user mentions cq:Component, cq:dialog, componentGroup, Granite UI widgets, or AEM component architecture.
Design and implement agent-based models (ABM) for simulating complex systems with emergent behavior from individual agent interactions. Use when "agent-based, multi-agent, emergent behavior, swarm simulation, social simulation, crowd modeling, population dynamics, individual-based," mentioned.
Start, monitor, and cancel durable multi-agent coding loops via Inngest. Use when the user wants to run autonomous coding workloads, execute a PRD with multiple stories, kick off an AFK coding session, have agents implement features from a plan, or manage running loops. Triggers on "start a coding loop", "run this PRD", "implement these stories", "go AFK and code this", "check loop status", "cancel the loop", "joelclaw loop", or any request for autonomous multi-story code execution.
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop
Guides hands-on development of agentic AI systems—agent loops (plan → act → observe), tool and MCP schemas, multi-agent orchestration and handoffs, state/checkpointing, HITL gates, agent prompts, reliability (retries, idempotency, cancellation), observability, trajectory evaluation, tool sandboxing, injection awareness, and deployment (API, queue, durable workflows). Framework-agnostic with optional LangGraph, Deep Agents, and Cursor SDK pointers—not full framework docs. Use for agentic AI, build an agent, agent loop, tool use, MCP integration, multi-agent, agent orchestration, LangGraph, agentic workflow, AI agent developer, agent handoff, agent memory, HITL agent, evaluate agent, or agentic application—not model training (ai-engineer), ML research (ai-researcher), product strategy only (cpo-advisor), architecture whiteboard only (agent-designer, external), generic backend without agent loops (senior-software-engineer), or red-team only (ai-redteam).
Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, wait-for-key behavior, or optional `agently-devtools` observation, evaluation, and playground integration through Agently-native extension surfaces rather than custom wrappers first.
Use when the user wants stable structured fields, required keys, reliable machine-readable sections, or downstream-consumable output from one model request, including prompt-config-owned output contracts, `.output(...)`, field ordering, `ensure_keys`, and structured streaming.
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Integrate, build, extend, or review web interfaces with the brand-adaptive ak-ui design language and CSS foundation. Use when a user asks to install ak-ui, create an Arknights-inspired interface without copying game assets, style native or unstyled headless components such as Reka UI, convert an existing page to ak-ui, or audit whether an implementation follows ak-ui tokens, geometry, interaction states, responsiveness, and accessibility.
A testing reference for Android app development (Kotlin). Covers JUnit4, AndroidJUnit4, Truth, Espresso (cheat sheet), the test pyramid, test doubles, Mockito, MockK, Robolectric; coroutines/Flow/ViewModel testing, ActivityScenario, FragmentScenario, UiAutomator, AndroidTestOrchestrator; createComposeRule, runComposeUiTest, ComposeUiTestConfig, Compose UI test synchronization, CI, and Window Testing (by screen size).
A reference for the androidx.wear API and Watch Face Format (WFF) on Wear OS (Kotlin). Covers Wear Compose CurvedLayout, rotary input, ambient mode, one-handed gestures, ScalingLazyColumn; Tiles/Material3TileService/ProtoLayout; ComplicationDataSourceService and ComplicationData types; Health Services (MeasureClient, ExerciseClient, PassiveMonitoringClient); Data Layer (ChannelClient); and WFF XML elements, expressions, complication slots, user settings, and Watch Face Designer.
API gateway patterns and implementations. Kong, AWS API Gateway, NGINX as gateway, rate limiting, request routing, authentication offloading, and request/response transformation. USE WHEN: user mentions "API gateway", "Kong", "AWS API Gateway", "NGINX gateway", "gateway pattern", "request routing", "BFF" DO NOT USE FOR: reverse proxy basics - use infrastructure skills; service mesh - use `service-mesh`; rate limiting in app - use `rate-limiting`
End-to-end pipeline for releasing an iOS / watchOS app to TestFlight and the App Store. Use when the user wants to publish, ship, or release an iOS/watchOS app, get a build onto TestFlight, archive and upload via xcodebuild, deploy a CloudKit schema to Production, set App Privacy or export compliance, mint a Distribution certificate, or work through App Store Connect / Apple Developer portal steps. Triggers on 'continue publishing', 'ship the app to TestFlight', 'release the iOS app', 'upload a build', 'deploy CloudKit to production', 'App Privacy labels', 'distribution signing', or any cryptic Apple upload error (cloud signing, 90057 missing CFBundleShortVersionString, 90474 orientation). macOS and Xcode only.
Execute Shopify Admin API calls via GraphQL in Shopify Remix apps. Use when querying or mutating Shopify data (customers, orders, products, shop, segments, subscriptions), when writing GraphQL for the Admin API, or when handling throttling and retries.
visionOS / iOS spatial computing. RealityKit, ARKit, visionOS SwiftUI, USDKit, Spatial Preview. Entity, ModelEntity, AnchorEntity, Component, System, RealityView, MeshResource, Material, EntityAction, MeshDeformerComponent, GaussianSplatComponent, ComputeGraphComponent, ComputeNodeGraph, PhysicsJointsComponent, ForceEffectComponent, ClothBodyComponent, NavigationComponent, NavigationMeshComponent, NavigationController, USDStage, SpatialPreviewSession, ImmersiveSpace, ImmersionStyle, WindowGroup, VolumetricWindowStyle, Model3D, ARKitSession, ARSession, ARWorldTrackingConfiguration, WorldTrackingProvider, HandTrackingProvider, ImageTrackingProvider, AccessoryTrackingProvider, CameraFrameProvider, ObjectTrackingProvider, RoomTrackingProvider, SceneReconstructionProvider.
Reviews any arc42 section or the full document for accuracy, completeness, cross-section consistency, and alignment with arc42 standards. Reads documentation files directly, applies detail-level-aware checks, and produces a structured findings report with severity-linked fixes. Offers to resolve Critical issues immediately using the relevant section skill.
Interactively guides the documentation of arc42 Section 9 (Architecture Decisions) using Nygard ADR format extended with toolkit cross-references. Asks about significant decisions, alternatives considered, and consequences before generating structured ADRs. Official arc42 only requires that significant decisions are documented; the Nygard ADR base format and the toolkit cross-reference additions are conventions, not arc42 requirements. Iterates until the user is satisfied.
(forwward) Designs system architecture, selects databases, structures projects, plans APIs, and defines caching strategies with scale-appropriate defaults. Triggers on system design, database selection, project structure, tech stack, API design, caching, or codebase organization.
Use only when working on the docs site. How a docs project is laid out and how to write its pages, sections, front matter, links, generated references and changelogs, in the house tone. Read before writing, editing, moving or reviewing any page under docs/.
Implement all existing tasks in an authorized batch through implement-task, in dependency order, after checking every task and requiring all user-action blockers to be resolved first. Use when the user requests automatic multi-task implementation; preserve verification/review policy and stop for new blockers or stalled corrections.
This skill helps an LLM build correct native Model Context Protocol integrations with @ax-llm/ax. Use when the user asks about AxMCPClient, MCP transports, tools, prompts, resources, subscriptions, tasks, sampling, elicitation, roots, authentication, OAuth, MCP Apps, recording/replay, or MCP integration with AxGen, AxAgent, AxFlow, chat, optimization, and AxEventRuntime.
Scandit BarcodeCapture in .NET for Android projects (`net*-android` target framework, `Scandit.DataCapture.Barcode` NuGet, non-MAUI — for MAUI apps use barcode-capture-net-maui) — the low-level, full-control barcode scanning mode without the pre-built SparkScan UI. Use for integration, scan settings, listener and event wiring, overlay customization, camera lifecycle, SDK version migration (v6→v7→v8), replacing ZXing.Net or ML Kit bindings, or troubleshooting.
Scandit BarcodeCapture in .NET for iOS projects (`net*-ios` target framework, `Scandit.DataCapture.Barcode` NuGet, non-MAUI — for MAUI apps use barcode-capture-net-maui) — the low-level, full-control barcode scanning mode without the pre-built SparkScan UI. Use for integration, scan settings, listener and event wiring, overlay customization, camera lifecycle, SDK version migration (v6→v7→v8), replacing ZXing.Net.Mobile or AVFoundation scanners, or troubleshooting.
Comprehensive code review rules for React applications (framework-agnostic). Covers security anti-patterns, performance pitfalls, architecture mistakes, and code quality issues. Use this skill when reviewing, writing, or refactoring React code — especially before merging pull requests. Triggers on tasks involving code review, PR review, security audit, performance review, or quality checks for React/TypeScript projects. Does not cover Next.js-specific patterns (see nextjs-review for that).
Implement secure authentication bridge between Better Auth (Next.js frontend) and FastAPI (Python backend) using JWKS JWT token verification. Use this skill when users need to (1) Integrate Better Auth with FastAPI backend, (2) Implement JWT authentication with JWKS verification, (3) Set up user isolation and authorization in FastAPI endpoints, (4) Configure frontend to send authenticated API requests, or (5) Troubleshoot Better Auth + FastAPI authentication issues.
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.
