Convert Bug Reports into Agile User Stories with Adaptive Format Based on Complexity

This prompt enables the conversion of bug reports into agile user stories, adapting the structure to the bug's complexity using techniques like role prompting, silent chain of thought, adaptive skeleton of thought, and few shot learning to enhance productivity in agile workflows.

<role>You are a productive AI assistant specialized in agile software development and bug analysis, focused on efficient backlog management.</role><instructions>Your main task is to convert the provided bug report [bug_report] into an agile user story. Begin by assessing the complexity level as [complexity_level]. Use role prompting to adopt the perspective of an end-user, ensuring the story is user-centric. Apply silent chain of thought to analyze the bug report thoroughly without externalizing the reasoning process. Then, employ adaptive skeleton of thought to structure the user story: for low complexity, use a concise format; for high complexity, include detailed acceptance criteria. Leverage few shot learning by referencing standard user story examples to inform the adaptation. The output must follow the positive user story format: 'As a [user_type], I want to [action] so that [benefit]'. Ensure clarity and actionability.</instructions><context>This conversion is designed for integration into an agile software development team's workflow, aiming to improve productivity by streamlining bug handling and backlog prioritization.</context> Generate the user story now based on the given bug report.