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Found 41 Skills
Complete reference for all SGDS web components including installation and framework integration. Use when users ask about any <sgds-*> component — accordion, alert, badge, breadcrumb, button, card, checkbox, close-button, combo-box, datepicker, description-list, divider, drawer, dropdown, file-upload, footer, icon, icon-button, icon-card, icon-list, image-card, input, link, mainnav, masthead, modal, overflow-menu, pagination, progress-bar, quantity-toggle, radio, select, sidebar, sidenav, skeleton, spinner, stepper, subnav, switch, system-banner, tab, table, table-of-contents, textarea, thumbnail-card, toast, or tooltip. Also covers React 19+, React ≤18, Vue, Angular, and Next.js integration.
Environment variable validation, security scanning, and management for Next.js, Vite, React, and Node.js applications
Pino high-performance JSON logger for Node.js with worker thread transports, child loggers, redaction, and framework integrations. Use when setting up structured logging, configuring log transports, adding request correlation IDs, redacting sensitive data, or integrating with Fastify, Hono, or Express. Use for pino, logging, structured-logs, request-id, correlation, redaction, transports, pino-http, pino-pretty.
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.
Framework integration for Cloudflare Workers. Use when building with Hono, Remix, Next.js, Astro, SvelteKit, Qwik, or Nuxt on Workers. Covers routing, SSR, static assets, and edge deployment.
Use when implementing Stripe webhook endpoints and getting 'Raw body not available' or signature verification errors - provides raw body parsing solutions and subscription period field fixes across frameworks
Design, refactor, and review Effector state management using modern v23+ patterns. Use when tasks involve createStore/createEvent/createEffect modeling, dataflow with sample/attach/split, scope-safe SSR with fork/allSettled/serialize/hydrate, React integration with useUnit, Solid/Vue integration patterns, fixing scope loss, or replacing anti-patterns such as business logic in watch, imperative calls in effects, and direct getState business reads.
Astro web framework patterns for content-driven sites. Covers content collections with Zod schemas and loaders, island architecture with selective hydration directives, view transitions with ClientRouter, server-side and hybrid rendering modes, server islands, Astro DB with astro:db, middleware with onRequest, and framework integrations (React, Svelte, Vue). Use when building content-driven websites, configuring island hydration strategies, setting up view transitions, choosing between static and server rendering, integrating UI framework components, defining content collection schemas, or adding middleware.
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
Assembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components into working React/Next.js, Python, or Rust projects.