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Found 57 Skills
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.
Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.
Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.
Configure Prettier for code formatting and TypeScript for typechecking. Includes VSCode settings and EditorConfig for consistent code style. Skips ESLint/Biome to avoid config complexity.
Add Shadcn UI components with dark mode support using next-themes. Includes theme provider and CSS variables configuration.
Build a complete AI chat application with database persistence, chat list management, and automatic title generation.
Create a structured format for documenting feature requirements as user stories. JSON files with testable acceptance criteria that AI agents can verify and track.
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
Implement feature flags using the Vercel Flags SDK with server-side evaluation, environment-based toggles, and Vercel Toolbar integration.
Use Better Auth for client and server-side authentication. Covers session access, protected routes, sign in/out, and fetching user data.
Install and configure the Workflow Development Kit for resumable, durable AI agent workflows with step-level persistence, stream resumption, and agent orchestration.
Complete observability stack with structured logging, error tracking, and web analytics.