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Acceptance Criteria Authoring

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melodic-software·vlatest·testing·MIT

This skill generates detailed acceptance criteria from user stories, ensuring clarity and reducing ambiguity for smoother project development.

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This skill no longer installs under the name acceptance-criteria-authoring. melodic-software/claude-code-plugins has no skill named "acceptance-criteria-authoring" any more. It was renamed, moved or deleted upstream.

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What we know about this skill

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melodic-software

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About this skill

What it does

This skill helps AI agents generate well-defined acceptance criteria for user stories or features. It translates high-level requirements into specific, testable conditions that must be met to consider a task complete. The generated criteria are designed to be clear, concise, and unambiguous, ensuring everyone understands what constitutes successful completion. This promotes better collaboration and reduces misunderstandings in development workflows.

When to use it

  • Requirement Refinement: When you have a user story or feature request that needs to be broken down into actionable steps with measurable outcomes.
  • Agile Development: To create clear "Definition of Done" criteria for sprints and iterative development cycles.
  • Test Case Generation: As a foundation for creating test cases, ensuring all acceptance conditions are covered.
  • Documentation: To document the expected behavior of a feature in a structured and easily understandable format.

Key capabilities

  • Generates specific acceptance criteria from user stories or feature descriptions.
  • Creates clear and concise statements.
  • Ensures testability of requirements.
  • Promotes unambiguous understanding of task completion.

Example prompts

  • "Write acceptance criteria for a user story: As a user, I want to be able to reset my password."
  • "Generate acceptance criteria for the feature 'Implement dark mode on the website'."
  • “Create testable acceptance criteria for ‘Allow users to upload profile pictures’."

Tips & gotchas

The quality of the generated acceptance criteria depends heavily on the clarity and detail provided in the initial user story or feature description. Provide as much context as possible for best results.