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user-story-clarifierlisted

Workflow for drafting, rewriting, splitting, and auditing story-level requirements, user stories, feature definitions, definitions of done, and acceptance criteria into unambiguous story cards for humans and coding agents. Use for rough tickets, broad epics, or unclear product behavior; avoid for full PRDs, glossary definitions, and code implementation.
n-n-code/n-n-code-skills · ★ 4 · AI & Automation · score 75
Install: claude install-skill n-n-code/n-n-code-skills
# User Story Clarifier Turn rough product intent into a story card that a human or coding agent can implement without guessing. ## When To Use - draft a user story from a rough product idea, ticket, or feature note - rewrite a vague story, definition of done, or acceptance criteria - split a broad story, epic, or feature into smaller story-level slices - audit story-level requirements for ambiguity, missing behavior, or weak testability - tighten a ticket so an implementation agent can plan and execute safely ## Not For - full PRDs, large product specs, ADRs, or long-form design proposals - glossary definitions, terminology cleanup, or generic copy editing - implementation after the story is already clear - broad test strategy where the main question is what evidence is enough ## Core Workflow 1. Classify the mode: draft, rewrite, split, audit, or tighten. 2. Extract the story facts: - actor or user segment - user goal and value - trigger or entry point - expected behavior and visible outcome - data, state, permissions, and constraints - dependencies, assumptions, and non-goals 3. Ask at most 3 focused clarifying questions when the answers would materially change behavior, acceptance criteria, or implementation boundaries. Prioritize actor/outcome, behavior boundary, then acceptance oracle. 4. If clarity is good enough, draft with labeled assumptions instead of asking low-value questions. 5. If the input is too broad for one story, propose th