KS
Killer-Skills

components — how to use components in AI agents how to use components in AI agents, components setup guide, Tambo components alternative, components vs custom UI development, installing components for AI agents, what is components in AI development, components best practices, integrating components with TSX

v1.0.0
GitHub

About this Skill

Perfect for Frontend Agents needing streamlined AI-powered UI development with generative and interactable components. Components is a set of reusable UI elements for AI agents, including generative and interactable components, used for building dynamic user interfaces.

Features

Supports generative components that create UI elements on-demand
Includes interactable components that can be pre-placed and updated by AI
Utilizes z.object for props schema definition
Compatible with TSX for seamless integration
Provides a TamboProvider for easy component registration
Enables customization of component behavior using props

# Core Topics

wafflebytes wafflebytes
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
54
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add wafflebytes/DealDesk-Tambo/components

Agent Capability Analysis

The components MCP Server by wafflebytes is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use components in AI agents, components setup guide, Tambo components alternative.

Ideal Agent Persona

Perfect for Frontend Agents needing streamlined AI-powered UI development with generative and interactable components.

Core Value

Empowers agents to create on-demand UI elements using generative components and update pre-placed elements with interactable components, leveraging TypeScript and z.object props schema for robust development.

Capabilities Granted for components MCP Server

Generating WeatherCard components on user request
Creating interactable UI elements for real-time updates
Streamlining AI-powered UI development with TamboProvider

! Prerequisites & Limits

  • Requires TypeScript setup
  • Dependent on TamboProvider for component rendering
Project
SKILL.md
2.8 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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Tambo Components

Two component types: generative (AI creates on-demand) and interactable (pre-placed, AI updates).

Quick Start

tsx
1// Generative: AI creates when needed 2const components: TamboComponent[] = [ 3 { 4 name: "WeatherCard", 5 component: WeatherCard, 6 description: "Shows weather. Use when user asks about weather.", 7 propsSchema: z.object({ city: z.string(), temp: z.number() }), 8 }, 9]; 10 11<TamboProvider components={components}> 12 <App /> 13</TamboProvider>;

Generative Components

AI dynamically selects and renders these in response to user messages.

tsx
1import { TamboProvider, TamboComponent } from "@tambo-ai/react"; 2import { z } from "zod"; 3 4const WeatherCardSchema = z.object({ 5 city: z.string().describe("City name"), 6 temperature: z.number().describe("Temperature in Celsius"), 7 condition: z.string().describe("Weather condition"), 8}); 9 10const components: TamboComponent[] = [ 11 { 12 name: "WeatherCard", 13 component: WeatherCard, 14 description: 15 "Displays weather for a city. Use when user asks about weather.", 16 propsSchema: WeatherCardSchema, 17 }, 18]; 19 20<TamboProvider apiKey={apiKey} components={components}> 21 <App /> 22</TamboProvider>;

Generative Key Points

  • propsSchema: Zod object with .describe() on each field
  • description: Tells AI when to use the component
  • Streaming: Props start undefined, make them optional or handle gracefully
  • Use z.infer<typeof Schema> for TypeScript props type

Interactable Components

Pre-place in your UI; AI can observe and update props via natural language.

tsx
1import { withInteractable } from "@tambo-ai/react"; 2import { z } from "zod"; 3 4const NoteSchema = z.object({ 5 title: z.string().describe("Note title"), 6 content: z.string().describe("Note content"), 7 color: z.enum(["white", "yellow", "blue"]).optional(), 8}); 9 10function Note({ title, content, color = "white" }: Props) { 11 return ( 12 <div style={{ backgroundColor: color }}> 13 <h3>{title}</h3> 14 <p>{content}</p> 15 </div> 16 ); 17} 18 19export const InteractableNote = withInteractable(Note, { 20 componentName: "Note", 21 description: "A note with editable title, content, and color", 22 propsSchema: NoteSchema, 23});

Interactable How It Works

  1. Auto-registration: Component registers when mounted
  2. Context sending: Current props automatically visible to AI
  3. Tool registration: Update tools registered automatically
  4. Bidirectional: User edits and AI updates both work

When to Use Each

GenerativeInteractable
AI creates on-demandYou pre-place in UI
One-time renderPersistent across session
Props generated onceAI can update props
Chat responses, dashboardsSettings, forms, task boards

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