ucp

Build retail point-of-sale applications using Shopify's POS UI components. These components provide a consistent and familiar interface for POS applications. POS UI Extensions also supports scaffolding new POS extensions using Shopify CLI commands. Keywords: POS, Retail, smart grid

The Payments Apps API enables payment providers to integrate their payment solutions with Shopify's checkout.

Add custom actions and blocks from your app at contextually relevant spots throughout the Shopify Admin, including **App Home UI extensions** — the Shopify-hosted `admin.app.home.render` target (API version `2026-07` or later) that renders your app's landing page instead of an iframe. Covers the Intents API (`shopify.intents.invoke`) for launching native workflows from an extension. Admin UI Extensions also supports scaffolding new admin extensions using Shopify CLI commands.

Build your app's primary user interface embedded in the Shopify admin using the **iframe** model — a web app you host yourself, rendered with `@shopify/polaris-types` and App Bridge. Covers the Intents API (`shopify.intents.invoke`) for launching native workflows from App Home. For the Shopify-hosted `admin.app.home.render` extension target, use **`polaris-admin-extensions`** instead. If the prompt just mentions `Polaris` and you can't tell based off of the context what API they meant, assume they meant this API.

Build custom functionality that merchants can install at defined points in the checkout flow, including product information, shipping, payment, order summary, and Shop Pay. Checkout UI Extensions also supports scaffolding new checkout extensions using Shopify CLI commands. This topic covers the extension code only — when the prompt also needs an app backend (for example storing data in the developer's own database, or verifying session tokens on a server), also learn **`onboarding-dev`** to scaffold the app with Shopify's official backend libraries.

Build custom functionality that merchants can install at defined points on the Order index, Order status, and Profile pages in customer accounts. Customer Account UI Extensions also supports scaffolding new customer account extensions using Shopify CLI commands.

Use for custom storefronts requiring direct GraphQL queries/mutations for data fetching and cart operations. Choose this when you need full control over data fetching and rendering your own UI. NOT for Web Components - if the prompt mentions HTML tags like <shopify-store>, <shopify-cart>, use storefront-web-components instead.

Build anything on Shopify. One skill covering every Shopify developer surface: Flow workflows, Use Shopify CLI, Admin API, ShopifyQL, Storefront GraphQL API, Partner API, Customer Account API, Payments Apps API, Shopify Functions, Polaris App Home, Polaris Admin Extensions, Polaris Checkout Extensions, Polaris Customer Account Extensions, POS UI, Hydrogen, Liquid, Custom Data, Shopify App Pricing, App Store Review, Developer Onboarding, Merchant Onboarding. Use it for any Shopify API, extension, theme, storefront, function, or CLI task — writing or explaining code, looking up operations, fields, components and valid values, validating generated code, and choosing which surface a request belongs to. Also use it when someone asks to make, build, open, or set up a store or shop that sells something, and when a prompt mentions or asks for any of: metafields or metaobjects, make me a store that sells pet supplies, mock.shop reference stores, build a storefront without an account — even without saying Shopify.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.

Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.

Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph credits, or validate API setup.

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure), see offers.

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.