components — community components, DealDesk-Tambo, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Frontend Agents needing dynamic component rendering with AI-generated and interactable components. Frontend for The Deal Desk

wafflebytes wafflebytes
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The components skill by wafflebytes is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Frontend Agents needing dynamic component rendering with AI-generated and interactable components.

Core Value

Empowers agents to create on-demand components using generative AI and update pre-placed interactable components, leveraging z.object for props schema validation and TSX for seamless integration.

Capabilities Granted for components

Generating WeatherCard components on user query
Updating interactable components with real-time data
Creating custom components with z.object props schema

! Prerequisites & Limits

  • Requires TamboProvider setup
  • TSX compatibility needed
  • z.object schema validation required for props
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

components

Install components, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

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

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is components?

Perfect for Frontend Agents needing dynamic component rendering with AI-generated and interactable components. Frontend for The Deal Desk

How do I install components?

Run the command: npx killer-skills add wafflebytes/DealDesk-Tambo/components. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for components?

Key use cases include: Generating WeatherCard components on user query, Updating interactable components with real-time data, Creating custom components with z.object props schema.

Which IDEs are compatible with components?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for components?

Requires TamboProvider setup. TSX compatibility needed. z.object schema validation required for props.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add wafflebytes/DealDesk-Tambo/components. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use components immediately in the current project.

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