Agent skill

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".

Stars 1,803
Forks 241

Install this agent skill to your Project

npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/claude-pack/skills/clade-hello-world

SKILL.md

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

typescript
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

typescript
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

typescript
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

python
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_reasonend_turn, max_tokens, or tool_use

Error Handling

Error Cause Solution
authentication_error Bad API key Check ANTHROPIC_API_KEY
invalid_request_error Missing required field Both messages and max_tokens are required
not_found_error Invalid model ID Use a valid model like claude-sonnet-4-20250514

Available Models

Model Best For Context Cost (input/output per MTok)
claude-opus-4-20250514 Complex reasoning 200K $15 / $75
claude-sonnet-4-20250514 Balanced quality + speed 200K $3 / $15
claude-haiku-4-5-20251001 Fast, cheap tasks 200K $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.

Expand your agent's capabilities with these related and highly-rated skills.

Didn't find tool you were looking for?

Be as detailed as possible for better results