Cette page est affichée en anglais. Une traduction française est en cours.
SkillsApr 6, 2026·3 min de lecture

Claude Quickstarts — 5 Official Deployable AI App Templates

Anthropic's official quickstart collection with 5 deployable AI apps: customer support agent, financial analyst, computer use, browser tools, and autonomous coder.

Prêt pour agents

Staging sûr pour cet actif

Cet actif est d'abord staged. Le prompt copié demande à l'agent d'inspecter les fichiers staged avant d'activer scripts, config MCP ou config globale.

Stage only · 29/100Policy : staging
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Stage only
Confiance
Confiance : Established
Point d'entrée
Claude Quickstarts — 5 Official Deployable AI App Templates
Commande de staging sûr
npx -y tokrepo@latest install 8314e5f3-2ed0-406d-85cc-8e76d2b4052c --target codex

Stage les fichiers d'abord; l'activation exige la revue du README et du plan staged.

TL;DR
Five official, deployable AI application templates from Anthropic covering support agents, financial analysis, and computer use.
§01

What it is

Claude Quickstarts is Anthropic's official collection of five deployable AI application templates. Each quickstart is a complete, working project that demonstrates a specific Claude API capability: a customer support agent with tool use, a financial data analyst with structured output, a computer use demo, a browser tools integration, and an autonomous coding agent.

The collection targets developers who want production-ready starting points rather than minimal hello-world examples. Each template includes dependency management, error handling, and deployment configuration.

§02

How it saves time or tokens

Starting from a working template eliminates the typical 2-4 hours of boilerplate setup for a new Claude-powered application. The templates already implement best practices like streaming responses, proper error handling, and tool use patterns. Developers fork the closest template, modify the business logic, and deploy -- rather than wiring up the SDK from scratch.

§03

How to use

  1. Clone the repository and pick a quickstart:
git clone https://github.com/anthropics/anthropic-quickstarts
cd anthropic-quickstarts/customer-support-agent
  1. Install dependencies and set your API key:
pip install -r requirements.txt
export ANTHROPIC_API_KEY=your-key-here
  1. Run the application:
python main.py
§04

Example

# From the customer-support-agent quickstart
import anthropic

client = anthropic.Anthropic()

tools = [{
    'name': 'lookup_order',
    'description': 'Look up order status by order ID',
    'input_schema': {
        'type': 'object',
        'properties': {
            'order_id': {'type': 'string'}
        },
        'required': ['order_id']
    }
}]

response = client.messages.create(
    model='claude-sonnet-4-20250514',
    max_tokens=1024,
    tools=tools,
    messages=[{
        'role': 'user',
        'content': 'Where is my order #12345?'
    }]
)
§05

Related on TokRepo

§06

Common pitfalls

  • Each quickstart has its own dependency file; installing from the root directory will not set up any individual project
  • The computer use quickstart requires specific system permissions and a display server; it will not work in headless CI environments without configuration
  • API key rate limits apply per-account; running multiple quickstarts simultaneously can exhaust your tier limits quickly

Questions fréquentes

What five quickstarts are included?+

The collection includes: customer support agent (tool use for order lookups), financial data analyst (structured output for data analysis), computer use demo (controlling a desktop via Claude), browser tools (web browsing and interaction), and autonomous coder (code generation and execution).

Are these quickstarts production-ready?+

They are production-quality starting points with proper error handling, streaming, and dependency management. However, they are templates meant to be customized. You would need to add authentication, rate limiting, and monitoring for a full production deployment.

Which programming languages are supported?+

The quickstarts primarily use Python with the Anthropic Python SDK. The patterns demonstrated (tool use, streaming, structured output) can be adapted to TypeScript using the @anthropic-ai/sdk package.

Do I need a paid Anthropic API plan?+

You need an Anthropic API key with sufficient credits. The free tier provides limited usage. The computer use and autonomous coder quickstarts consume more tokens per session, so a paid tier is recommended for extended testing.

How do the quickstarts differ from the API documentation examples?+

The API docs show individual feature snippets. The quickstarts are complete applications with multiple files, proper project structure, error handling, and deployment configuration. They demonstrate how features work together in a real application rather than in isolation.

Sources citées (3)
🙏

Source et remerciements

Created by Anthropic. Licensed under MIT.

anthropic-quickstarts — ⭐ 15,900+

Thank you for providing production-ready templates for the Claude ecosystem.

Fil de discussion

Connectez-vous pour rejoindre la discussion.
Aucun commentaire pour l'instant. Soyez le premier à partager votre avis.

Actifs similaires