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Found 56 Skills
Type-safe environment variable validation using Zod with a Drizzle-like schema API. Supports server/public fields, feature flags, either-or constraints, and client-side protection.
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
Capture exceptions, add context, create performance spans, and use structured logging with Sentry.
TypeScript assertion function for runtime type narrowing with descriptive error messages. Based on tiny-invariant.
Add server-side route protection to enforce authentication on specific pages while keeping others public.
Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
Persist AI chat conversations to Neon Postgres with full support for AI SDK message parts including tools, reasoning, and streaming. Uses UUID v7 for chronologically-sortable IDs.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Track custom events and conversions with Vercel Web Analytics. Covers common events, form tracking, and development testing.
Validate environment variables on server start and before builds. Catch missing or invalid variables early with clear error messages.