agent-builder

Create a JSON configuration file in .claude/agents/ with fields for name, description, systemPrompt, allowedTools, and model. Define your agent's purpose, write a specialized system prompt, restrict tools to only what the agent needs, and test the configuration to ensure predictable behavior and correct integration.

The system prompt shapes how the agent reasons and responds to tasks; allowed tools control which capabilities it can actually use. Separating these lets you optimize reasoning independently of access, reduce costs by limiting tool scope, and minimize security risks through granular permission control.

Yes. Agents work for task-specific roles, team workflows, domain-specific assistants, and repetitive tasks across software development, documentation, and operations. JSON-based configuration with prebuilt templates makes it fast to spin up specialized agents tailored to your team's exact needs.

Templates and best practices for common roles are provided. You can use prebuilt starting points or write custom prompts; the six-step workflow guides you through define purpose, create configuration, write prompt, set tool access, choose model, and test.

Restricting each agent to only its required tools shrinks the attack surface, prevents unintended actions, and reduces API call overhead. Minimal tool assignment ensures predictable behavior and lowers operational costs compared to agents with unrestricted access.

The six-step workflow includes a testing phase to catch misconfigurations before deployment. Test your agent against expected tasks to verify the system prompt and tool access produce correct behavior; iterate on the JSON configuration until integration is stable and predictable.