generate-agent

To create a custom AI agent, you define its persona, constrain its available tools, and design a role-specific cognitive architecture. This process generates a structured .agent.md file containing the specialized configuration for your AI assistant.

Cognitive architecture in AI agent generation is the design of role-specific thinking processes using XML delimiters. It aligns the agent's reasoning with its specialized job title and expertise, ensuring effective and targeted responses.

Yes, you can limit an AI agent's tools to read-only access during generation. The process selects and justifies necessary tools based on the defined persona, defaulting to read-only constraints for roles like a Security Auditor.

You set up a Security Auditor agent by defining its security expertise, limiting its tools to read-only access, and specifying a threat-modeling-first thinking process. This generates a .agent.md file configured for codebase security audits.

The best way to define an AI persona is by establishing a distinct job title, specific expertise, and a unique perspective. This persona-based configuration ensures the AI agent operates effectively within its specialized role.

No dependencies are required to generate agent files. The process relies on internal scripts, references, and assets to produce .github/agents/*.agent.md files with persona-based configurations and specialized tool sets.