Modifying system prompts

import { query } from "@anthropic-ai/claude-agent-sdk";

const messages = [];

for await (const message of query({
  prompt: "Add a new React component for user profiles",
  options: {
    systemPrompt: {
      type: "preset",
      preset: "claude_code" // Use Claude Code's system prompt
    },
    settingSources: ["project"] // Loads CLAUDE.md from project
  }
})) {
  messages.push(message);
}

// Now Claude has access to your project guidelines from CLAUDE.md

import asyncio

from claude_agent_sdk import query, ClaudeAgentOptions

messages = []


async def main():
    async for message in query(
        prompt="Add a new React component for user profiles",
        options=ClaudeAgentOptions(
            system_prompt={
                "type": "preset",
                "preset": "claude_code",  # Use Claude Code's system prompt
            },
            setting_sources=["project"],  # Loads CLAUDE.md from project
        ),
    ):
        messages.append(message)


asyncio.run(main())

# Now Claude has access to your project guidelines from CLAUDE.md

import { query } from "@anthropic-ai/claude-agent-sdk";

const messages = [];

for await (const message of query({
  prompt: "Help me write a Python function to calculate fibonacci numbers",
  options: {
    systemPrompt: {
      type: "preset",
      preset: "claude_code",
      append: "Always include detailed docstrings and type hints in Python code."
    }
  }
})) {
  messages.push(message);
  if (message.type === "assistant") {
    console.log(message.message.content);
  }
}

import asyncio

from claude_agent_sdk import query, ClaudeAgentOptions, AssistantMessage

messages = []


async def main():
    async for message in query(
        prompt="Help me write a Python function to calculate fibonacci numbers",
        options=ClaudeAgentOptions(
            system_prompt={
                "type": "preset",
                "preset": "claude_code",
                "append": "Always include detailed docstrings and type hints in Python code.",
            }
        ),
    ):
        messages.append(message)
        if isinstance(message, AssistantMessage):
            print(message.content)


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

for await (const message of query({
  prompt: "Triage the open issues in this repo",
  options: {
    systemPrompt: {
      type: "preset",
      preset: "claude_code",
      append: "You operate Acme's internal triage workflow. Label issues by component and severity.",
      excludeDynamicSections: true
    }
  }
})) {
  // ...
}

import asyncio

from claude_agent_sdk import query, ClaudeAgentOptions


async def main():
    async for message in query(
        prompt="Triage the open issues in this repo",
        options=ClaudeAgentOptions(
            system_prompt={
                "type": "preset",
                "preset": "claude_code",
                "append": "You operate Acme's internal triage workflow. Label issues by component and severity.",
                "exclude_dynamic_sections": True,
            },
        ),
    ):
        ...


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

const customPrompt = `You are a Python coding specialist.
Follow these guidelines:
- Write clean, well-documented code
- Use type hints for all functions
- Include comprehensive docstrings
- Prefer functional programming patterns when appropriate
- Always explain your code choices`;

const messages = [];

for await (const message of query({
  prompt: "Create a data processing pipeline",
  options: {
    systemPrompt: customPrompt
  }
})) {
  messages.push(message);
  if (message.type === "assistant") {
    console.log(message.message.content);
  }
}

import asyncio

from claude_agent_sdk import query, ClaudeAgentOptions, AssistantMessage

custom_prompt = """You are a Python coding specialist.
Follow these guidelines:
- Write clean, well-documented code
- Use type hints for all functions
- Include comprehensive docstrings
- Prefer functional programming patterns when appropriate
- Always explain your code choices"""

messages = []


async def main():
    async for message in query(
        prompt="Create a data processing pipeline",
        options=ClaudeAgentOptions(system_prompt=custom_prompt),
    ):
        messages.append(message)
        if isinstance(message, AssistantMessage):
            print(message.content)


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

// Assuming "Code Reviewer" output style is active (via /config or settings)
// Add session-specific focus areas
const messages = [];

for await (const message of query({
  prompt: "Review this authentication module",
  options: {
    systemPrompt: {
      type: "preset",
      preset: "claude_code",
      append: `
        For this review, prioritize:
        - OAuth 2.0 compliance
        - Token storage security
        - Session management
      `
    }
  }
})) {
  messages.push(message);
}

import asyncio

from claude_agent_sdk import query, ClaudeAgentOptions

# Assuming "Code Reviewer" output style is active (via /config or settings)
# Add session-specific focus areas
messages = []


async def main():
    async for message in query(
        prompt="Review this authentication module",
        options=ClaudeAgentOptions(
            system_prompt={
                "type": "preset",
                "preset": "claude_code",
                "append": """
                For this review, prioritize:
                - OAuth 2.0 compliance
                - Token storage security
                - Session management
                """,
            }
        ),
    ):
        messages.append(message)


asyncio.run(main())