Our review
Guides an AI assistant to ask minimal, targeted questions before starting work when a request is underspecified, and to pause until must-have details are confirmed.
Strengths
- Focuses on must-have questions that eliminate whole branches of work.
- Uses scannable multiple-choice options and a fast-path `defaults` reply.
- Avoids over-asking by leveraging low-risk discovery reads.
- Explicitly separates 'need to know' from 'nice to know'.
Limitations
- Can add friction when the user wants immediate action.
- Relies on the assistant's judgment to detect underspecification accurately.
- Requires the user to respond, otherwise the task stalls.
Use when a request lacks clear objectives, scope, constraints, or acceptance criteria and the user explicitly asks for clarification.
Do not use for well-specified tasks or when the user wants immediate execution despite assumptions.
Security analysis
SafeThis skill only defines conversational workflow for requirement clarification; it does not instruct the agent to execute any commands, access files, or perform any potentially destructive actions. There are no references to external tools or data exfiltration.
No concerns found
Examples
Before you start coding, this task seems underspecified. Use your ask-questions skill to ask me up to 5 clarifying questions with multiple-choice options and defaults.Please clarify what 'done' means for this feature and which files are in scope. Ask me the must-have questions from your ask-questions-if-underspecified skill, and I'll reply with 'defaults' if I don't care.The user story below is vague. Trigger your ask-questions-if-underspecified skill and pause until I answer, but keep the questions scannable and offer a 'not sure' option.Skill file:
name: ask-questions-if-underspecified description: Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
Ask Questions If Underspecified
Goal
Ask the minimum set of clarifying questions needed to avoid wrong work; do not start implementing until the must-have questions are answered (or the user explicitly approves proceeding with stated assumptions).
Workflow
1) Decide whether the request is underspecified
Treat a request as underspecified if after exploring how to perform the work, some or all of the following are not clear:
- Define the objective (what should change vs stay the same)
- Define "done" (acceptance criteria, examples, edge cases)
- Define scope (which files/components/users are in/out)
- Define constraints (compatibility, performance, style, deps, time)
- Identify environment (language/runtime versions, OS, build/test runner)
- Clarify safety/reversibility (data migration, rollout/rollback, risk)
If multiple plausible interpretations exist, assume it is underspecified.
2) Ask must-have questions first (keep it small)
Ask 1-5 questions in the first pass. Prefer questions that eliminate whole branches of work.
Make questions easy to answer:
- Optimize for scannability (short, numbered questions; avoid paragraphs)
- Offer multiple-choice options when possible
- Suggest reasonable defaults when appropriate (mark them clearly as the default/recommended choice; **bold the recommended choice in the list, or if you present options in a code block, put a bold "Recommended" line immediately above the block and also tag defaults inside the block)
- Include a fast-path response (e.g., reply
defaultsto accept all recommended/default choices) - Include a low-friction "not sure" option when helpful (e.g., "Not sure - use default")
- Separate "Need to know" from "Nice to know" if that reduces friction
- Structure options so the user can respond with compact decisions (e.g.,
1b 2a 3c); restate the chosen options in plain language to confirm
3) Pause before acting
Until must-have answers arrive:
- Do not run commands, edit files, or produce a detailed plan that depends on unknowns
- Do perform a clearly labeled, low-risk discovery step only if it does not commit you to a direction (e.g., inspect repo structure, read relevant config files)
If the user explicitly asks you to proceed without answers:
- State your assumptions as a short numbered list
- Ask for confirmation; proceed only after they confirm or correct them
4) Confirm interpretation, then proceed
Once you have answers, restate the requirements in 1-3 sentences (including key constraints and what success looks like), then start work.
Question templates
- "Before I start, I need: (1) ..., (2) ..., (3) .... If you don't care about (2), I will assume ...."
- "Which of these should it be? A) ... B) ... C) ... (pick one)"
- "What would you consider 'done'? For example: ..."
- "Any constraints I must follow (versions, performance, style, deps)? If none, I will target the existing project defaults."
- Use numbered questions with lettered options and a clear reply format
1) Scope?
a) Minimal change (default)
b) Refactor while touching the area
c) Not sure - use default
2) Compatibility target?
a) Current project defaults (default)
b) Also support older versions: <specify>
c) Not sure - use default
Reply with: defaults (or 1a 2a)
Anti-patterns
- Don't ask questions you can answer with a quick, low-risk discovery read (e.g., configs, existing patterns, docs).
- Don't ask open-ended questions if a tight multiple-choice or yes/no would eliminate ambiguity faster
Next.js App Router Expert
Development
A skill that turns Claude into a Next.js App Router expert.
README Generator
Development
Creates professional and comprehensive README.md files for your projects.
API Documentation Writer
Development
Generates comprehensive API documentation in OpenAPI/Swagger format.