user-story-splitting

SKILL.md

Break large stories and epics into smaller, independently deliverable increments using eight systematic splitting patterns.

Provides eight splitting patterns: workflow steps, business rule variations, data variations, acceptance criteria complexity, major effort, external dependencies, DevOps steps, and Tiny Acts of Discovery for unpacking unknowns

Emphasizes vertical slicing (each split delivers complete user value) rather than horizontal task decomposition or arbitrary chopping

Includes validation checks to ensure splits are independent, testable, sprint-sized, and collectively equal the original story

Covers common pitfalls: horizontal slicing, over-splitting, meaningless splits, hard dependencies, and ignoring user outcomes

Purpose

Break down large user stories, epics, or features into smaller, independently deliverable stories using systematic splitting patterns. Use this to make work more manageable, reduce risk, enable faster feedback cycles, and maintain flow in agile development. This skill applies to user stories, epics, and any work that's too large to complete in a single sprint.

This is not arbitrary slicing—it's strategic decomposition that preserves user value while reducing complexity.

Key Concepts

The Story Splitting Framework

Based on Richard Lawrence and Peter Green's "Humanizing Work Guide to Splitting User Stories," the framework provides 8 systematic patterns for splitting work:

Workflow steps: Split along sequential steps in a user's journey

Business rule variations: Split by different rule scenarios (permissions, calculations, etc.)

Data variations: Split by different data types or inputs

Acceptance criteria complexity: Split when multiple "When" or "Then" statements exist

Major effort: Split by technical milestones or implementation phases

External dependencies: Split along dependency boundaries (APIs, third parties, etc.)

DevOps steps: Split by deployment or infrastructure requirements

Tiny Acts of Discovery (TADs): When none of the above apply, use small experiments to unpack unknowns