spec-plan

You can generate feature specifications automatically by orchestrating a spec-writer agent with research and context gathering. This produces structured artifacts like FRD.md, FRS.md, GS.md, TR.md, and task-list.md in a dedicated folder before development begins.

The best way to plan cross-functional feature documentation is using context-driven research and an agent-driven spec generation workflow. This approach handles clarification and documentation fetch to output complete specification artifacts for web apps and APIs.

To create an FRD and FRS with automated validation, you launch a spec-writer agent with prepared context. After completion, an automatic hook validates and critiques the generated specs, providing feedback for iteration on your authentication module.

Yes, you can reuse existing project patterns by performing memory-bank reuse checks across projects during pre-planning. This evaluates existing components and prepares comprehensive context for the spec-writer agent to include in the documentation.

Agent-driven specification planning works as a pre-planning step before development coding. It orchestrates research and generates requirement documents like FRD.md and task-list.md, ensuring developers start with complete specs instead of jumping directly into code.

A limitation of automated spec generation is that it requires clear requirement clarification and effective documentation fetching upfront. Without adequate context gathering and memory-bank checks, the agent may produce incomplete specifications requiring extensive manual iteration.