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requirements-clarification

Clarify unresolved product decisions before implementation, such as scope, supported platforms, or API agreements. Use a small set of focused questions to establish the intended outcome, while leaving routine technical choices to the agent.

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Clarify a material user-owned product decision before substantive implementation commitments. Use only when request and named/governing evidence still leave a choice that would materially change scope, platform support, user-facing surface, data/API contract, domain values, project placement, or cross-system architecture; also use when a truncated request omits such a choice. On the initial turn, inspect only named or governing requirements evidence, then ask directly without loading: prefer structured input; ask one blocking outcome question or at most three coupled questions; wait. After the answer, load the body before write or delegation. Do not use for implement/build/fix/debug/refactor work when expected behavior is settled, plan/design deliverables owned by Plan, complexity/greenfield/integration alone, agent-owned technical choices, locally discoverable facts, reversible defaults, permission to begin, or stop/no-tool turns. Never re-ask supplied facts or turn clarification into refusal.

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Good for

  • Clarify an unresolved product scope
  • Confirm which platforms a product should support
  • Resolve open decisions about data or API agreements
  • Ask about a key decision missing from an incomplete request

Files included (1)

  • SKILL.md2.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Requirements Clarification

Resolve only a remaining user-owned product decision. Do not turn normal implementation uncertainty into a question.

  1. Read the request and any explicitly named or governing requirements source. Do not scan broadly for hypothetical ambiguity. If this evidence settles the outcome, proceed without asking.
  2. Separate user-owned outcomes and authoritative inputs from agent-owned implementation choices. Research discoverable facts yourself. Never ask the user to choose a library, framework, or method the agent can determine.
  3. If a narrow reversible default safely satisfies the request, state it and proceed. Complexity, greenfield status, file count, or integration work alone never requires clarification.
  4. Otherwise ask before substantive commitment. Reads, notes, or one small branch-neutral probe are allowed; a scaffold, public contract, embedded domain values, or cross-system architecture is a commitment.
  5. Prefer request_user_input when available. Ask one blocking outcome question; group at most three tightly coupled questions. Offer concrete outcome options and a recommendation. Never ask merely for permission to begin.
  6. After the answer, do not ask again unless later evidence reveals a distinct material fork. Apply the answer and continue.

plan owns standalone plan and design deliverables. This skill does not create an approval gate or stop a specified implementation merely because planning would be useful. Never re-ask facts already supplied by the request or governing evidence, and never turn clarification into a refusal.

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