account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM.…
Ask the minimum clarifying questions before implementing when scope, constraints, or success criteria are unclear. Use when a request has multiple plausible interpretations, missing acceptance criteria, or ambiguous environment constraints.
$ npx -y skills add charlieviettq/awesome-agent-skill --skill clarify-underspecified --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/clarify-underspecifiedContext preview
The summary Claude sees to decide when to auto-load this skill.
Ask the minimum clarifying questions before implementing when scope, constraints, or success criteria are unclear. Use when a request has multiple plausible interpretations, missing acceptance criteria, or ambiguous environment constraints.
name: clarify-underspecified description: "Ask the minimum clarifying questions before implementing when scope, constraints, or success criteria are unclear. Use when a request has multiple plausible interpretations, missing acceptance criteria, or ambiguous environment constraints." allowed-tools: Read, Glob, Grep
1. Decide if the request is underspecified (objective, scope, constraints, environment, safety). 2. Ask **1-5** questions max; prefer multiple-choice with a `defaults` fast path. 3. Separate **need to know** vs **nice to know**. 4. Do not run mutating commands or commit to a detailed plan until must-have answers arrive. 5. If the user asks to proceed without answers, state assumptions explicitly and get confirmation.
1) Scope? a) Minimal change (default) b) Broader refactor in the same area c) Not sure - use default Reply: defaults (or 1a 2b)
Restate requirements in 1-3 sentences (constraints + success criteria), then start work.
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
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