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Found 91 Skills
Prisma Postgres setup and operations guidance across Console, create-db CLI, Management API, and Management API SDK. Use when creating Prisma Postgres databases, working in Prisma Console, provisioning with create-db/create-pg/create-postgres, or integrating programmatic provisioning with service tokens or OAuth.
Sets up, manages, and executes queries against Cloud Firestore database instances. You MUST unconditionally activate this skill if you plan to use Firestore in any way. Use when listing or creating Firestore databases, configuring security rules, designing data models, writing client SDK queries, or checking indexes.
Comprehensive guide for Firebase Remote Config, including template management and SDK usage. Use this skill when the user needs help setting up Remote Config, managing feature flags, or updating app behavior dynamically.
Build applications with InsForge Backend-as-a-Service. Use when developers need to: (1) Set up backend infrastructure (create tables, storage buckets, deploy functions, configure auth/AI) (2) Integrate InsForge SDK into frontend applications (database CRUD, auth flows, file uploads, AI operations, real-time messaging) (3) Deploy frontend applications to InsForge hosting IMPORTANT: Before any backend work, you MUST have the user's Project URL and API Key. If not provided, ask the user first. Key distinction: Backend configuration uses HTTP API calls to the InsForge project URL. Client integration uses the @insforge/sdk in application code.
`@expo/ui/swift-ui` package lets you use SwiftUI Views and modifiers in your app.
Load automatically when planning, researching, or implementing Medusa storefront features (calling custom API routes, SDK integration, React Query patterns, data fetching). REQUIRED for all storefront development in ALL modes (planning, implementation, exploration). Contains SDK usage patterns, frontend integration, and critical rules for calling Medusa APIs.
Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.
Use when working with iii SDK APIs across Node.js, browser, Python, or Rust: package installation, worker initialization, function/trigger registration, invocation, channels, logging, OpenTelemetry, and language-specific caveats.
Set up, debug, and build with Contentful personalization and optimization. Covers readiness, SDK install guidance, static diagnostics, live browser debugging, development help, and reference patterns. Use for personalization, optimization, ninetailed, A/B testing, experiments, audience targeting, Contentful Experiences, Experiences SDK, Studio Experiences, and the experience API. Trigger keywords: personalization, optimization, ninetailed, A/B test, experiment, multivariate test, targeting, audience targeting, segments, variants, content variants, set up personalization, personalization not working, personalization broken, personalize this component, am I ready for personalization, experience API, Contentful Experiences, Experiences SDK, Studio Experiences, personalization in Next.js, @contentful/optimization, @ninetailed/experience.js, run an experiment, check this URL, debug this live page, inspect network requests, check console errors, experience.ninetailed.co
Manage Alibaba Cloud Cloud Firewall (Cloudfw) via OpenAPI/SDK. Use for listing resources, creating or updating configurations, querying status, and troubleshooting workflows for this product.
Umbrella router for Graphistry workflows across SDK and API surfaces. Use to dispatch between Python SDK, REST API, and (future) JavaScript SDK workflows.
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript), model selection, and API capabilities.