From sales
Generates structured Given/When/Then acceptance criteria for a user story or feature slice. Use when translating product requirements into testable scenarios that cover the happy path, edge cases, error states, and non-functional expectations for engineering handoff and QA.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sales:acceptance-criteriaThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
Acceptance criteria define the observable behavior that must be true for a story or feature to be considered done. This skill turns feature context into concise, testable Given/When/Then scenarios that engineers and QA can verify without guessing intent.
When asked to create acceptance criteria, follow these steps:
Confirm the story or feature scope Identify the exact slice of work. If the scope is unclear, ask for the user story, PRD section, or feature description before drafting criteria.
Separate the happy path from exceptions Start with the primary success flow, then add edge cases and error states that are likely or costly if missed.
Write each criterion as an observable scenario Use Given/When/Then language only. Keep each criterion independently testable and avoid implementation details.
Cover recovery and failure behavior Describe what the user sees or can do when validation fails, a dependency is unavailable, or a save action cannot complete.
Include non-functional expectations Add criteria for performance, accessibility, security, reliability, or auditability when they matter to the story.
Avoid duplication and overlap Each criterion should test one outcome. If two criteria describe the same behavior, merge or split them until the intent is clear.
Review for testability Ensure a reviewer can pass or fail each criterion without interpretation. If a statement is subjective, rewrite it into a measurable outcome.
Use references/TEMPLATE.md as the output format. A complete response should:
Before finalizing, verify:
See references/EXAMPLE.md for a completed example based on a realistic e-commerce checkout flow.
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub jakapolr/roots-sales-plugin --plugin sales