spec-developer

To generate an implementation specification, this Skill analyzes your codebase architecture and dependencies via parallel subagents, asks over 20 clarifying questions, and outputs a comprehensive plan. The final specification covers architecture, data models, API contracts, and testing strategies.

The best way to create technical specifications with API contracts and rollback strategies is through an interview-driven process that clarifies edge cases and security. It produces a structured markdown file detailing implementation steps, data models, test plans, and error handling.

Yes, the spec generation process deeply analyzes existing codebase architecture, patterns, dependencies, and test coverage using parallel subagents. This codebase analysis occurs before engaging the user with targeted questions to ensure the specification aligns with current project constraints.

To ensure edge cases and integration requirements are covered in your feature design plan, the Skill asks over 20 targeted questions across behavior, integration, UX, and security domains. This extensive questioning clarifies requirements before generating the final implementation steps and error handling strategies.

You can use this approach to plan software development tasks for any existing codebase where subagents can explore architecture and dependencies. It is particularly suited for complex features like real-time collaboration tools that require detailed data models and comprehensive test plans.