Clarify user intent through structured one-question-at-a-time interviews.
npx skills add https://github.com/Lauughter/Python_training --skill interview-me-lauughter
Please help me install this Agent Skill. Skill: interview-me Source: https://github.com/Lauughter/Python_training/tree/main/.claude/skills/interview-me Command: npx skills add https://github.com/Lauughter/Python_training --skill interview-me-lauughter
Clarifies user intent by conducting a structured, one-question-at-a-time interview until high confidence about the underlying need is reached.
Begin by stating your hypothesis and confidence, then ask a single focused question with an attached guess and await the user's reaction.
High-intent search queries and answers about installing and using this skill.
Clarify underspecified requirements by conducting a structured, one-question-at-a-time interview that requires an upfront hypothesis and confidence level to surface assumptions before proceeding with any plan.
Hypothesis-driven discovery is a clarification method where you state an initial assumption and confidence level, ask a single focused question with a guessed answer, and iterate until reaching near 95% confidence on user intent.
Use a one-question-at-a-time interview when user asks are underspecified, when explicitly invoking interviewing prompts, or when you catch yourself filling in ambiguous requirements before any plan exists.
Ensure scope is locked in by using a final restatement of explicit outcomes for confirmation, which requires the user to validate the documented needs before moving forward with the project.
Requirements clarification requires an upfront hypothesis and confidence level to function correctly, as the structured interview relies on attached guesses to surface assumptions and validate the underlying need.
BorisserzConduct one-question-at-a-time interviews to extract user intent with confidence scoring.
BellaBeTranslate goals into phased plans with milestones and dependencies.
shafibabarConstruct outcome-based product roadmaps sequenced by confidence levels and dependency logic.
I2olanDTransform vague requirements into clear, testable specifications using elicitation techniques and documentation templates.
