Agent Design FAQs

Question 1

How does this skill improve my development workflow?

Accepted Answer

It enables multi-phase automation by delegating tasks to specialized subagents (like a 'test-writer' or 'reviewer') and creating custom slash commands. This allows Claude to handle complex, repetitive sequences—like planning, implementing, and reviewing code—with a single trigger.

Question 2

What is the difference between the system prompt and the agent memory file?

Accepted Answer

The system prompt acts as the agent's 'DNA,' defining its core personality and fundamental instructions. The agent memory file (like CLAUDE.md) provides contextual project knowledge, such as tech stacks and coding conventions, allowing the agent to stay aligned with your specific workspace.

Question 3

What does the Agent Design skill do?

Accepted Answer

The Agent Design skill allows you to define the behavior, tools, and identity of your AI assistant. It uses an AgentProfile structure to configure system prompts, memory files, specialized subagents, and custom commands for sophisticated task orchestration.

Question 4

When should I use the Agent Design skill?

Accepted Answer

Use this skill whenever you need to customize your AI's capabilities for a specific project. It is ideal for setting up subagent delegation, defining complex multi-step commands, or managing environment dependencies for specialized coding tasks.

Question 5

Can I integrate external tools and APIs using this skill?

Accepted Answer

Yes. The Agent Design skill supports both bundled and external MCP (Model Context Protocol) servers. This allows your custom agent to interact with filesystem tools, databases, GitHub APIs, and other external services seamlessly during its workflow.

Agent Design

Agent Design

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主な機能

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