The interface is localized. Skill descriptions and documents are machine-translated by AI into your language; code, commands, paths and technical terms stay in the original, and the author's document governs.
Explore skills
Development · SKILL.md

clade-hello-world

clade-hello-world

Send your first message to Claude using the Anthropic SDK. Use when starting a new Claude integration, testing your setup, or learning the Messages API basics. Trigger with phrases like "anthropic hello world", "claude api example", "first claude call", "anthropic quick start".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill documentation

GitHub

name: clade-hello-world description: 'Send your first message to Claude using the Anthropic SDK.

Use when starting a new Claude integration, testing your setup,

or learning the Messages API basics.

Trigger with phrases like "anthropic hello world", "claude api example",

"first claude call", "anthropic quick start".

' allowed-tools: Read, Write, Edit version: 1.1.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • anthropic
  • claude
  • messages-api compatibility: Designed for Claude Code

Anthropic Hello World

Overview

Send your first message to Claude and get a response using the Messages API.

Prerequisites

  • Completed clade-install-auth setup
  • ANTHROPIC_API_KEY environment variable set

Instructions

Step 1: Basic Message

import Anthropic from '@claude-ai/sdk';

const client = new Anthropic();

const message = await client.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: 'What is the capital of France?' }
  ],
});

console.log(message.content[0].text);
// "The capital of France is Paris."

Step 2: Add a System Prompt

const message = await client.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 1024,
  system: 'You are a helpful geography expert. Be concise.',
  messages: [
    { role: 'user', content: 'What is the capital of France?' }
  ],
});

Step 3: Multi-Turn Conversation

const message = await client.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: 'What is the capital of France?' },
    { role: 'assistant', content: 'The capital of France is Paris.' },
    { role: 'user', content: 'What is its population?' },
  ],
});

Python Example

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "What is the capital of France?"}
    ],
)
print(message.content[0].text)

Output

  • message.content[0].text — Claude's text response
  • message.model — model ID used
  • message.usage.input_tokens / message.usage.output_tokens — token counts
  • message.stop_reason — end_turn, max_tokens, or tool_use

Error Handling

ErrorCauseSolution
authentication_errorBad API keyCheck ANTHROPIC_API_KEY
invalid_request_errorMissing required fieldBoth messages and max_tokens are required
not_found_errorInvalid model IDUse a valid model like claude-sonnet-4-20250514

Available Models

ModelBest ForContextCost (input/output per MTok)
claude-opus-4-20250514Complex reasoning200K$15 / $75
claude-sonnet-4-20250514Balanced quality + speed200K$3 / $15
claude-haiku-4-5-20251001Fast, cheap tasks200K$0.80 / $4

Examples

See Step 1 (basic message), Step 2 (system prompt), and Step 3 (multi-turn) above. Python example included in its own section.

Resources

Next Steps

Proceed to clade-model-inference for streaming and advanced patterns.

Saved skills