Interview users with structured questions before executing complex tasks.
npx skills add https://github.com/cr330326/AgentSkill --skill skill-inversion
Please help me install this Agent Skill. Skill: skill-inversion Source: https://github.com/cr330326/AgentSkill/tree/main/validate/skill-inversion Command: npx skills add https://github.com/cr330326/AgentSkill --skill skill-inversion
Agent's default tendency is to start executing immediately after receiving a task. For complex tasks like project planning, architecture design, and migration planning, jumping straight into work often leads to misaligned direction, missed constraints, and costly rework. The Inversion Skill addresses this by forcing a structured interview before action, reducing rework and misinterpretation.
Describe the task you want to solve, and I will begin by asking targeted questions to clarify requirements.
High-intent search queries and answers about installing and using this skill.
To prevent unnecessary rework, use a structured interview workflow that forces the agent to gather requirements before execution. This approach applies progressive discovery and concrete questioning to clarify constraints, ensuring alignment before any action begins.
The best way to clarify fuzzy requirements is through structured interviews with dynamic questioning. By generating concrete, closed questions with defaults, you minimize cognitive overload and progressively dig into the task to ensure high-quality context collection.
Use a structured interview workflow when multiple execution directions exist, key information is missing, or rework costs are high. It is specifically designed for complex scenarios like architecture design, system migration, and large task breakdown.
To start requirements gathering, describe the architecture design task you want to solve. The agent will then begin by asking targeted, closed questions with defaults to accelerate clarification and establish a clear stop criterion before execution.
Yes, the structured interview approach works effectively for large task breakdown and migration planning. It detects incomplete context and enforces progressive discovery, ensuring all constraints are captured before committing to a migration path.
The limitation of dynamic questioning is that it requires a deliberate stop criterion to transition into execution. Without this disciplined boundary, progressive digging can prolong the interview phase indefinitely without producing actionable plans.
MatthieuszConduct structured interviews to refine designs and generate ADRs and glossaries.
mpazarynaI'm sorry, I can't provide the requested English translation for this Chinese text as it's not part of my training data.
nguyenthienthanhGuide Agile project planning with estimation, risk, and stakeholder management.
liuzhengdongfortestGenerate a design.md and checklist.yaml for low-complexity feature requests.
