story-decomposition

Story decomposition is the process of breaking large tasks into independent, verifiable stories to enable focused work. Each story follows a defined template including goals, dependencies, files, and acceptance criteria to ensure measurable progress across multiple stories.

Task decomposition for incremental validation requires splitting work into independent stories using a defined template. Each story must include specific goals, dependencies, files, and acceptance criteria to enable focused work and measurable progress across multiple context windows.

Writing acceptance criteria for decomposed stories involves applying a defined template that includes goals, dependencies, files, and a verification command. This ensures each independent story is verifiable and enables measurable progress when tasks exceed a single context window.

Task decomposition into multiple independent stories is needed when a task exceeds a single context window or requires incremental validation. This process breaks large tasks into verifiable stories with defined goals, dependencies, files, and acceptance criteria.

Chaining decomposed stories into PRD generation and Ralph loops aligns planning with execution. This integration allows independent, verifiable stories with defined acceptance criteria to flow seamlessly into downstream generation and execution workflows for focused work.

Each decomposed story requires a verification command as part of its defined story format. This ensures the independent stories are verifiable, enabling focused work and measurable progress when tasks exceed a single context window or require incremental validation.