create-prompt-plan

To break down a project specification into actionable AI prompts, you decompose the spec file into context-sized implementation prompts. This process manages project scope, work categories, dependencies, and ordering for sequential AI execution.

Specification decomposition manages prompt ordering by analyzing dependencies and arranging prompts logically. This ensures foundational work precedes dependent tasks, generating a structured file with status tracking and context for each sequential AI execution prompt.

Yes, you can use this specification decomposition approach for an existing codebase. It manages project scope, work categories, dependencies, and ordering for both greenfield and existing codebases to generate sequential implementation prompts.

The best way to track progress when generating implementation prompts is to use a structured file that assigns a status to each prompt. It assigns pending, in-progress, or done statuses to each generated prompt for continuous progress monitoring.

You need a specification file, typically located at a defined path like your project's spec file. The Skill analyzes this file and generates a structured prompts file containing the decomposed, context-sized implementation prompts with status tracking.