tambo ai
Official@tambo-ai
Build AI assistants and agents in React with a few lines of code.
Agent Skills by tambo ai
Showing 16 vetted skills indexed across 1 GitHub repositories.
building-with-tambo
Integrates Tambo generative UI into existing React, Next.js, and Vite applications.
generative-ui
Scaffolds new Tambo generative UI React apps with registered components and CLI authentication.
building-settings-ui
Guides placement and styling of settings sections in the Tambo Cloud dashboard.
validating-accessibility
Validates React TSX components against accessibility standards using grep-based violation checks.
api-resource-lifecycle
Implements CRUD operations with cascading deletes, validation errors, and orphan prevention for API resources.
add-to-existing-project
Detect an existing React project's tech stack and automate Tambo integration and provider wiring.
component-rendering
Render streaming UI props and persistent state for Tambo-based React components.
start-from-scratch
Recommend stacks and setup steps for starting a new Tambo project.
cli
Automate Tambo project setup and component management via CLI.
components
Register AI-driven UI components with TamboProvider and propsSchema.
threads
Manage multi-thread chat state with React hooks for messages, suggestions, and voice input.
add-components-to-registry
Register React components with Tambo registry and generate Zod prop schemas.
tools-and-context
Register custom tools, connect MCP servers, and manage dynamic context in Tambo.
creating-styled-wrappers
Compose styled wrappers around base components using data-attributes for styling.
building-compound-components
Build unstyled composable React components with context-based state sharing.
ai-sdk-model-manager
Synchronize AI SDK model configurations with provider releases and SDK typings.
Frequently Asked Questions About tambo ai
FAQPage SchemaWhat specific tasks can developers perform using Tambo?▼
Developers can register React components with prop schemas, manage multi-thread chat state, and connect MCP servers to dynamic context. It enables the rendering of streaming UI props and the composition of unstyled, context-based compound components within existing web projects.
Which personas benefit most from this technology?▼
Frontend engineers and React developers focused on building conversational interfaces benefit most. It is designed for those needing to synchronize model configurations with provider releases while maintaining clean, composable UI architectures without extensive custom state management logic.
What are the prerequisites for implementing these components?▼
Implementation requires an existing React environment and the installation of the core registry package. Developers must define prop schemas using Zod and wrap their application with the provided context provider to enable state sharing and component registration.