What problem does it solve?
It helps you design AI subagents that can be delegated to for complex multi-step workflows without contaminating the main agent’s context, improving reliability and specialization.
Core Features & Use Cases
- Isolated context design: Ensures each subagent runs with its own context window, reducing cross-task interference.
- Delegation-ready metadata: Guides you to write clear
name and description frontmatter so the parent agent can automatically choose when to delegate.
- Repeatable prompt structure: Provides a template for identity, invocation steps, expected outputs, and quality expectations for verifier/debugger/orchestrator patterns.
- Common subagent patterns: Includes ready-to-adapt templates for verification, debugging, security auditing, and code review use cases.
Quick Start
Create a new subagent definition with kebab-case name and a description that explicitly says when the parent agent should automatically delegate, then follow the provided prompt template to specify steps and the exact output format.