convex-tanstack

A step-by-step guide for integrating Better Auth authentication with Convex backend and TanStack Start framework, covering installation, environment variables, SSR authentication, and route handlers.

Skill for implementing Convex query functions with guidance on function definition, registration, pagination, indexing, full text search, and query optimization using the new function syntax.

Comprehensive guidance for Convex actions, HTTP endpoints, validators, schema design, file storage, environment variables, scheduling, and TypeScript best practices. Covers function definitions, API design, database limits, and advanced Convex features including cron jobs and full-text search.

A skill for building tool-enabled Convex agents that can query databases, call external APIs, and perform multi-step operations. Provides patterns for defining tools with Zod validation and configuring autonomous agent behavior.

Implements Retrieval-Augmented Generation (RAG) patterns for Convex agents, enabling semantic search through custom knowledge bases with namespace-based multi-tenant isolation for user- or team-specific data.

A skill that provides specialized guidance for implementing Convex mutation functions, covering function definition, registration, database operations (insert, patch, replace, delete), transactions, and scheduled job patterns.

Teaches how to stream Convex agent responses in real-time to clients without blocking, covering async streaming setup, stream chunking configuration, delta retrieval, and best practices for responsive chat UIs and long-running generations.

A skill for orchestrating multi-step agent operations on the Convex platform with durable execution, automatic retries, and failure recovery, enabling workflows that survive server restarts and coordinate multiple agents.

A foundational skill for setting up and configuring Convex agents for chat-based AI interactions, covering agent initialization, conversation thread management, and text or structured response generation from LLMs.

A skill for building interactive workflow visualizations using Vercel AI Elements and React Flow in Next.js applications. Covers Canvas, Node, Edge, Connection, Controls, Panel, and Toolbar components for node-based diagram interfaces.