From sundial-org-awesome-openclaw-skills-4
Asks minimal clarifying questions when requirements are underspecified. Invoked explicitly to avoid premature implementation and rework.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sundial-org-awesome-openclaw-skills-4:ask-questions-if-underspecifiedThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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).
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).
Treat a request as underspecified if after exploring how to perform the work, some or all of the following are not clear:
If multiple plausible interpretations exist, assume it is underspecified.
Ask 1-5 questions in the first pass. Prefer questions that eliminate whole branches of work.
Make questions easy to answer:
defaults to accept all recommended/default choices)1b 2a 3c); restate the chosen options in plain language to confirmUntil must-have answers arrive:
If the user explicitly asks you to proceed without answers:
Once you have answers, restate the requirements in 1-3 sentences (including key constraints and what success looks like), then start work.
Recommended
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)
Adapted from Tibo’s post (@thsottiaux): https://x.com/thsottiaux/status/2006624792531923266
npx claudepluginhub sundial-org/awesome-openclaw-skillsAsks minimal clarifying questions to resolve underspecified requirements like objectives, scope, constraints, and acceptance criteria before implementing. Invoke explicitly via /ask-questions-if-underspecified.
Prompts clarifying questions when requirements are underspecified. Prevents wrong implementation by identifying missing objectives, scope, constraints, and acceptance criteria.
Clarifies underspecified requests by asking targeted questions about objective, scope, constraints, and environment before implementing.