Agent Skills: Anthropic Hello World

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UncategorizedID: jeremylongshore/claude-code-plugins-plus-skills/clade-hello-world

Install this agent skill to your local

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

Skill Files

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plugins/saas-packs/claude-pack/skills/clade-hello-world/SKILL.md

Skill Metadata

Name
clade-hello-world
Description
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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.

Anthropic Hello World Skill | Agent Skills