Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Run a validated Admin GraphQL operation against a specific store using Shopify CLI. Use this when the user wants an executable store workflow, not just the query or mutation text. If the answer should include `shopify store auth` and `shopify store execute`, choose this API. Choose this for 'my store', 'this store', a store domain, product reads on a merchant store, low-inventory lookups, product updates, and warehouse/location inventory changes. Examples: 'Show me the first 10 products on my store', 'Find products with low inventory on my store', 'Set inventory at the Toronto warehouse so SKU ABC-123 is 12'.
Find or sharpen the project idea and write the scope doc. The first and most important planning conversation — a focused flipped-interaction interview that pulls the idea out of the learner's head, then cuts it down to a coherent proof of concept. Run after 1-start.
Finish the Build With AI Basics hackathon—verify the proof of concept, prepare the required short demo video and public GitHub repository, and write your own Devpost submission. Run after 5-build, its final review, and the learning wrap-up/app map are complete.
Begin Build With AI: Basics, the Devpost learning hackathon. Checks you're in a fresh project folder, introduces flipped interaction, learns about your idea and background, and writes the learner profile that every later skill reads. Run this first.
Use when the user asks for the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: “best model for X”, “what model should I use for”, “top models for [task]”, “which model runs on my laptop/machine/device”, “recommend a model for”, “what LLM should I use for”, “compare models for”, “what's state of the art for”, or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.
Build applications with React Router in Framework, Data, Declarative, and unstable RSC modes. Use when configuring routes, route modules, loaders, actions, forms, fetchers, navigation, pending UI, SSR/SPA/pre-rendering, middleware, URL params/search params, or React Router upgrades
Instrument an existing codebase with LaunchDarkly config tracking. Walks the four-tier ladder (managed runner → provider package → custom extractor + trackMetricsOf → raw manual) and picks the lowest-ceremony option that still captures duration, tokens, and success/error.
Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
Migrate an application with hardcoded LLM prompts to a full LaunchDarkly AgentControl implementation in five stages: audit the code, wrap the call, move the tools, add tracking, attach evaluators. Use when the user wants to externalize model/prompt configuration, move from direct provider calls (OpenAI, Anthropic, Bedrock, Gemini, Strands) to a managed config, or stage a full hardcoded-to-LaunchDarkly migration.
Debug and emulate specific code fragments or functions using the Unicorn engine. Activate when the user wants to emulate a function with Unicorn, trace binary execution without running the full program, decrypt or decode data by emulating the algorithm, or bypass environment dependencies (JNI, syscalls, libc) during emulation.
Pick, install and compose remocn components: ready-made Remotion animations, transitions, backgrounds, captions, UI primitives and video templates from a shadcn registry. Use when building a video or scene out of prebuilt parts (product demo, launch, changelog, intro, social clip), adding an animation, transition or background to a Remotion project, or choosing between components. Activate for polished Remotion video work even when remocn isn't named. Works alongside the Remotion skills: questions about the Remotion API itself (interpolate, spring, Sequence, rendering, config) belong to them, not to this skill.
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when working with routes, controllers, services, repositories, Express middleware, or Prisma database access
Migrate Chakra UI projects from v2 to v3, covering package changes, codemods, provider setup, color mode, prop renaming, compound components, theming, recipes, and Next.js updates. Use this skill whenever a user is upgrading Chakra UI versions, encountering breaking changes after an upgrade, converting old v2 patterns (ColorModeScript, useColorModeValue, styleConfig, extendTheme, isDisabled, colorScheme, @chakra-ui/icons, framer-motion dependency), fixing compound component patterns, or asking about differences between Chakra UI v2 and v3 — even if they don't say “migrate” or “upgrade” explicitly.
Resolve `/flag` style requests into the right LaunchDarkly flag lookup flow. Use when the user types `/flag`, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags.
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE "C"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
Use this when the page-import pipeline needs to fetch a source webpage and prepare it for import/migration to AEM Edge Delivery Services. Covers scraping content, extracting metadata, downloading images, and returning analysis JSON with paths, metadata, cleaned HTML, and local images. Do not invoke directly — called by page-import as a pipeline step.
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.