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Found 2,220 Skills
Build declarative 3D scenes with React Three Fiber (R3F) - a React renderer for Three.js. Use when building interactive 3D experiences in React applications with component-based architecture, state management, and reusable abstractions. Ideal for product configurators, portfolios, games, data visualization, and immersive web experiences.
Tauri framework for building cross-platform desktop applications with Rust backend and web frontend. Covers architecture, IPC commands, plugins, bundling, code signing, and security best practices. USE WHEN: user mentions "Tauri", "Rust desktop app", asks about "Tauri commands", "Tauri plugins", "Tauri IPC", "Rust + Svelte/React", "lightweight desktop app", "Tauri bundling", "Tauri security" DO NOT USE FOR: Electron applications - use `electron` skill instead
Amazon SQS managed message queue service. Covers standard and FIFO queues, dead-letter queues, and integration patterns. Use for AWS-native serverless and microservices architectures. USE WHEN: user mentions "sqs", "aws queues", "fifo queue", "lambda trigger", "sns to sqs", asks about "aws messaging", "serverless queues", "standard queue", "visibility timeout" DO NOT USE FOR: event streaming - use `kafka` or AWS Kinesis; Azure-native - use `azure-service-bus`; GCP-native - use `google-pubsub`; on-premise - use `rabbitmq` or `activemq`; complex routing - use `rabbitmq`
Expert-level AWS cloud architecture, services, security, cost optimization, and best practices
Implement CodeRabbit reference architecture with best-practice project layout. Use when designing new CodeRabbit integrations, reviewing project structure, or establishing architecture standards for CodeRabbit applications. Trigger with phrases like "coderabbit architecture", "coderabbit best practices", "coderabbit project structure", "how to organize coderabbit", "coderabbit layout".
Use this skill when designing APIs, choosing between REST/GraphQL/gRPC, writing OpenAPI specs, implementing pagination, versioning endpoints, or structuring request/response schemas. Triggers on API design, endpoint naming, HTTP methods, status codes, rate limiting, authentication schemes, HATEOAS, query parameters, and any task requiring API architecture decisions.
Use this skill when designing data warehouses, building star or snowflake schemas, implementing slowly changing dimensions (SCDs), writing analytical SQL for Snowflake or BigQuery, creating fact and dimension tables, or planning ETL/ELT pipelines for analytics. Triggers on dimensional modeling, surrogate keys, conformed dimensions, warehouse architecture, data vault, partitioning strategies, materialized views, and any task requiring OLAP schema design or warehouse query optimization.
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.
Develop the Stitch SDK. Covers the generation pipeline, dual modality (agent vs SDK), error handling, and Traffic Light (Red-Green-Yellow) implementation workflow. Use when adding features, fixing bugs, or understanding the architecture.
AI-native open knowledge base about Taiwan built with Astro v5, featuring bilingual content (zh-TW/en), D3.js knowledge graph, and structured Markdown SSOT architecture.
Complete DEX architecture guide including project structure, provider hierarchy, network configuration, TradingView setup, and provider configuration.
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.