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clade-hello-world

'Send your first message to Claude using the Anthropic SDK.

Stars
2,267
Source
jeremylongshore/claude-code-plugins-plus-skills
Updated
2026-05-31
Slug
jeremylongshore--claude-code-plugins-plus-skills--clade-hello-world
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/HEAD/plugins/saas-packs/claude-pack/skills/clade-hello-world/SKILL.md -o .claude/skills/clade-hello-world.md

Drops the SKILL.md into .claude/skills/clade-hello-world.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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_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.