ask-questions-if-underspecified
Skill1 starsChanged 9 months agoMITView on GitHub
Clarify requirements before implementing. Use when serious doubts araise.
We split this skill into the rules it gives an agent
13 rules. 11 are common, 2 are distinctive, and 0 are very specific to this project.
11
Common
Most of the 13 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this skill when a request has multiple plausible interpretations or key details (objective, scope, constraints, environment, or safety) …
- Distinctive: line 14
Do not use this skill when the request is already clear, or when a quick, low-risk discovery read can answer the missing details.
- Common: line 18
Ask the minimum set of clarifying questions needed to avoid wrong work.
- Common: line 24
Treat a request as underspecified if after exploring how to perform the work, some or all of the following are not clear:
- Common: line 32
If multiple plausible interpretations exist, assume it is underspecified.
- Common: line 36
Ask 1-5 questions in the first pass.
- Common: line 50
Do not run commands, edit files, or produce a detailed plan that depends on unknowns
- Common: line 51
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 …
- Common: line 53
If the user explicitly asks you to proceed without answers:
- Common: line 55
Ask for confirmation; proceed only after they confirm or correct them
- Common: line 67
Use numbered questions with lettered options and a clear reply format
- Common: line 84
Don't ask questions you can answer with a quick, low-risk discovery read (e.g., configs, existing patterns, docs).
- Common: line 85
Don't ask open-ended questions if a tight multiple-choice or yes/no would eliminate ambiguity faster.
“Common” is measured: kept by at least 6 in 10 of the 13 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Ask Questions If Underspecified
When to Use
Use this skill when a request has multiple plausible interpretations or key details (objective, scope, constraints, environment, or safety) are unclear.
When NOT to Use
Do not use this skill when the request is already clear, or when a quick, low-risk discovery read can answer the missing details.
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.
Other versions14 projects use a version of this.
Word for word · 1
- Samueladewole/claude-skills★ 0100% same
Edited · 11
- MoizIbnYousaf/Ai-Agent-Skills★ 1.1k95% same
- skillcreatorai/Ai-Agent-Skills★ 1.1k95% same
- MoizIbnYousaf/ai-agent-skills★ 1.1k95% same
- mzbac/skills★ 2797% same
- ParkerRex/Skills★ 297% same
- pepebot-space/skills★ 295% same
- shreyas-makes/agent-skills★ 297% same
- Bot2353/skills★ 099% same
- davidanthonyn/claude-skills★ 099% same
- TheWatcher01/skills★ 099% same
1 more not listed
Wrote their own version · 2
- charliehzm/medharness★ 85same name
- niittymaa/multi-agent-ralph-loop★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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