issue-plan-codex

To turn AI debate analysis into actionable project issues, this Skill decomposes complex development work into structured, debate-driven issues through multi-round analysis, ensuring thorough discovery before execution.

Planning large-scale architectural software changes requires a debate-driven approach that maps codebase risks, synthesizes discovery, and creates deferrable implementation issues with exact verification commands.

Breaking down complex development work into deferred implementation issues involves a discovery phase mapping architecture, a collaborative planning phase for iterative critique, and a final synthesis generating exact linting and testing commands.

Yes, you can use collaborative debate to map codebase architecture and risks before execution by applying discovery agents and cross-reference checks to synthesize a concrete implementation plan.

Issue planning works for cross-team coordination on complex software efforts by enforcing iterative critique and discovery synthesis, which generates deferrable implementation issues tailored for multi-round analysis.

Architectural planning requires multi-round analysis because deep discovery and collaborative critique are necessary to synthesize defensible implementation roadmaps and generate exact verification commands before execution.