Agent Development
Provides comprehensive guidance for creating, structuring, and testing autonomous agents in Claude Code plugins.
Key features
- Guidance on configuring agent models, tools, and permissions
- Detailed agent file structure with YAML frontmatter specifications
- Best practices for writing effective system prompts and triggering conditions
- AI-assisted and manual agent creation workflows
- Validation rules and testing strategies for agent behavior
Use cases
- Defining precise triggering conditions for when an agent should activate.
- Building a new autonomous agent to handle a complex, multi-step task.
- Refining an agent's system prompt to improve its performance and reliability.
FAQ
How does this skill help me build better AI agents?
It provides structured templates and best practices for writing effective system prompts, defining clear triggering conditions, and restricting agent tools. This leads to more reliable, predictable, and powerful autonomous agents.
What does the Agent Development skill do?
This skill provides a complete guide for creating, structuring, and testing autonomous agents in Claude Code plugins. It covers file structure, system prompts, triggering, validation, and best practices.
When should I create an agent instead of a command?
Create an agent for complex, multi-step tasks that can run autonomously, like a full code review. Use a command for a single, user-initiated action, like linting a file. Agents handle workflows; commands handle actions.
What is the most critical part of an agent's configuration?
The `description` field in the YAML frontmatter is the most critical. It defines when Claude should trigger the agent, using specific conditions and `<example>` blocks to train the AI on its proper use case.
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