Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Comprehensive design system guidelines for building consistent, accessible, and scalable component libraries. Use when creating design tokens, building component libraries, implementing design systems, setting up theming architecture, or establishing UI governance processes.
Build the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun
Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, exhaust variants, derive from authoritative schemas.
Build with the Supermemory v5 API and SDKs (TypeScript `supermemory` 5.x, Python `supermemory` 5.x, `@supermemory/tools` 3.x). Use when an application needs persistent memory across sessions, per-user personalization, a maintained user profile, or semantic search over documents. Covers the namespace-scoped endpoints, exact SDK call shapes, search and ingestion options, typed filters, and the legacy names that must not be emitted.
Use this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*, model id in the `model` field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only)
Step-by-step agent workflow to configure the OpenAI Codex CLI on any machine (Linux, macOS, Windows) to use OmniRoute as an OpenAI-compatible backend. Detects OS and shell, writes config.toml and 7 named profiles, sets environment variables, and verifies the setup.
Set up a complete RevenueCat project from scratch — creates apps, products, entitlements, offerings, and packages in the correct order. Use when the user wants to create a new RevenueCat project, configure in-app purchases, set up subscriptions or monetization, or bootstrap IAP infrastructure for iOS, Android, or Web.
Diagnose and resolve RevenueCat integration issues — inspects dashboard configuration through the RevenueCat MCP, walks the SDK debug logs, and covers code-side gotchas. Use when the user says offerings are empty, products not loading, entitlement not active after purchase, paywall won't load, transactions not appearing, customer info shows no entitlements, sandbox purchase not working, an SDK-gated RevenueCat feature not working, or RevenueCat is broken on iOS, Android, Kotlin Multiplatform, Flutter, or React Native. Also use when asked to check or validate the store / product setup
Guides developers and admins through direct interaction with the Fusion Help REST API — reading articles, FAQs, release notes, searching content, and managing help documentation programmatically. USE FOR: fetch help articles from API, integrate help content in app, search help content, manage help documentation via API, automate help content, build help tooling. DO NOT USE FOR: using the fhelp CLI tool (use fusion-help-docs skill), modifying Fusion.Services.Help backend code, or non-help-API tasks.
Turns a natural-language description of routing intent into a valid Lemonade `collection.router` policy JSON. The skill generates and validates the JSON only - it does not register it or call the live server. Use when the user wants to route requests between models ("route sensitive queries to X and everything else to Y"), generate a router/hybrid-router config or policy, author a collection.router JSON, split traffic between a small local model and a big/cloud model, add PII/jailbreak/topic classifiers to routing, or mentions Lemonade Router, routing rules, routing.router, candidates/default_model, keywords_any, semantic_similarity, or LLM-as-router. Fills every field the user did not specify with safe defaults.
Generates user stories in the standard persona, action, benefit story format from product requirements or feature descriptions. Use when breaking a feature into stories for sprint planning, writing tickets, or communicating scope to engineering. For testable Given/When/Then acceptance criteria on a story, use deliver-acceptance-criteria; for boundary and failure scenarios, use deliver-edge-cases.
Comprehensive writing guide for Angular documentation (adev). Covers Google Technical Writing standards, Angular-specific markdown extensions, code blocks, and components. You MUST use this skill any time you plan to create, edit, or review documentation files in `adev/` or `adev/src/content`.
Generate AI images and videos via the LetzAI API. Images with Nano Banana Pro, Seedream 5, Flux 2, GPT Image 2; videos with Veo 3.1, Kling V3, Seedance 2.0. Includes context editing, upscaling, asset uploads, and custom @model training. Use for content creation apps and automation.
Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
Audits a Capacitor iOS app against Apple App Review Guidelines before submission or after a rejection. Use when the user pastes a rejection (Guideline 4.2 Minimum Functionality, 4.8 Login Services / Sign in with Apple, 5.1.1 data collection or account deletion, 5.1.2(i) sharing data with third-party AI, 3.1.1 in-app purchase, 2.1 app completeness, 2.3 metadata, 4.3 spam), an upload warning (ITMS-91053 missing API declaration, ITMS-91061 missing privacy manifest, ITMS-90683 missing purpose string), or wants a preflight of metadata, PrivacyInfo.xcprivacy, Info.plist usage strings, entitlements, subscriptions, reviewer notes, live-update disclosure, and Xcode 27 / UIScene readiness. Do not use for Google Play review, upload mechanics, screenshots and listing setup (capacitor-app-store), building a web wrapper from scratch (webapp-to-capacitor), or non-Capacitor runtimes.
Link workspace packages in monorepos (npm, yarn, pnpm, bun). USE WHEN: (1) you just created or generated new packages and need to wire up their dependencies, (2) user imports from a sibling package and needs to add it as a dependency, (3) you get resolution errors for workspace packages (@org/*) like "cannot find module", "failed to resolve import", "TS2307", or "cannot resolve". DO NOT patch around with tsconfig paths or manual package.json edits - use the package manager''s workspace commands to fix actual linking.
Agents workbench layout — covers the fixed layout structure, grid configuration, part visibility, editor modal, titlebar, sidebar footer, and implementation requirements. Use when implementing features or fixing issues in the Agents workbench layout.
Run a dbt Fusion project with Astronomer Cosmos. Use when running a dbt Fusion project with Astronomer Cosmos (Cosmos 1.11+, ExecutionMode.LOCAL on Snowflake/Databricks). Before implementing, verify dbt engine is Fusion (not Core), the warehouse is supported, and local execution is acceptable. Does not cover dbt Core.
Expert-level implementation assistant for the Universal Commerce Protocol (UCP). Provides comprehensive tooling for adding UCP support to Next.js ecommerce codebases — from initial consultation through full implementation, testing, and validation
Comprehensive performance optimization guide for React and Next.js applications, adapted from Vercel’s published guidance. Use when writing new React components or Next.js pages, implementing data fetching (client or server-side), or reviewing code for performance issues
Wires Fusion Help Center into app pages — creates article slug constants, adds useHelpCenter hook, and connects PageLayout props so users can open contextual help articles. Use for: add help button to page, wire useHelpCenter, create helpArticles constants, integrate Fusion Help in app, connect PageLayout to help center, add openHelpArticle to page. Do not use for: authoring markdown help articles (use fusion-help-docs), direct Help REST API calls (use fusion-help-api), modifying @fra/ui shared components.
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
Use when generating or reviewing NetSuite SDF permission configurations such as customrole XML, script deployment permissions, permkey values, permlevel choices, run-as role design, and least-privilege access. Confirms exact ADMI_ / LIST_ / REGT_ / REPO_ / TRAN_ permission IDs, distinguishes standard permissions from customrecord_* script IDs, and validates permissions against bundled NetSuite reference data.
Comprehensive guide for migrating Create React App (CRA) projects to Next.js. Use when migrating a CRA app, converting React Router to file-based routing, or adopting Next.js patterns like Server Components, App Router, or image optimization.
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
WHAT: Explains a codebase, a folder, a feature, a command or a pull request to someone who knows nothing about it, as a PR Lens canvas whose walkthrough builds the picture one part at a time. WHEN: /eli5 <thing>, or asked to explain code simply, for a beginner, a new hire, a non-engineer, or 'like I'm five'. KEYWORDS: eli5, explain like I'm five, explain simply, beginner, onboarding, walkthrough, diagram, PR Lens
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scale rigor to the task, run a hypothesis loop, and log decisions. Use for /figure-it-out or "figure it out".
Declared architecture snapshot for one Agentforce agent: planner, topics, actions, flows, Apex, prompt templates, and NGA plugins. Renders a human-readable architecture document and Mermaid invocation graph from design-time metadata (not runtime audit rows). TRIGGER when user asks to describe, diagram, inventory, audit, document, or diff (e.g. v3 vs v5) the architecture / action tree / topic structure / tool inventory of a specific agent by agent API name in a specific org. DO NOT TRIGGER for runtime session traces, conversation transcripts, generation timings, or gateway audit chains — this skill reads design-time metadata only (use investigating-agentforce-d360 for session traces).
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
This skill should be used when writing test cases, fixing bugs, analyzing code for potential issues, or improving test coverage for JavaScript/TypeScript applications. Use this for unit tests, integration tests, end-to-end tests, debugging runtime errors, logic bugs, performance issues, security vulnerabilities, and systematic code analysis.
Provides per-component and per-API examples with cross-platform compatibility details for uni-app, covering built-in components, uni-ui components, and APIs (network, storage, device, UI, navigation, media). Use when the user needs official uni-app components or APIs, wants per-component examples with doc links, or needs platform compatibility checks.
[Deprecated] Existing CloudBase MySQL Web SDK only. Do not recommend MySQL for new relational apps — use postgresql-development and app.rdb(). Read this only when a browser app must keep using @cloudbase/js-sdk against an environment that already has MySQL
Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, buyer-side assistants).
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.