ai-architect-lite

You can add external memory to Claude skills by managing project context via a `.ai_context` directory, which allows you to bootstrap new projects or migrate existing patterns with minimal overhead while retaining persistent state.

Manifest-driven dispatch is a slash-first routing approach that processes command-driven workflows through a central manifest, enabling structured execution plans and automated task handling within Claude skills.

You can set up structured logging by loading a lightweight AI architecture skill that automatically maintains timestamped, append-only development logs, capturing workflow progress without manual intervention.

Yes, this lightweight AI architecture pattern is designed for porting existing patterns with minimal overhead, allowing you to transition projects into a structured context directory and command-driven workflow system.

Yes, you can use an AI architecture skill with an external memory protocol to generate a mini execution plan for building user authentication, leveraging the `.ai_context` directory and slash-first dispatch.

Using a `.ai_context` directory for AI memory provides a lightweight, minimal-overhead structure but lacks the deep reasoning complexity of advanced architectures, focusing instead on straightforward project bootstrapping and logging.