ask-first
Skill22 starsChanged 5 months agoMITView on GitHub
Ask clarifying questions before executing tasks. Use this skill whenever the user says "ask me questions first", "clarify before doing", "ask before you start", invokes /ask, or wants Claude to gather requirements through Q&A before taking action. Also trigger when the user provides a task prefixed with "ask:" or says things like "I need help figuring out how to..." or "help me think through...". This skill ensures nothing is assumed — Claude asks until 95% confident, then executes.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- RosBradley/ask-firsttheir own version, first seen Nov 8, 2026
- nadavnaveh/skillstheir own version, first seen Nov 1, 2026
- MithunWijayasiri/dotclaudetheir own version, first seen Oct 26, 2026
- ymck-x/dsh-skill-startertheir own version, first seen Oct 15, 2026
- icigarette/askFirst-skilltheir own version, first seen Oct 13, 2026
- unix2dos/skillstheir own version, first seen Sep 22, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- unix2dos/skills★ 7same name
- MithunWijayasiri/dotclaude★ 4same name
- nadavnaveh/skills★ 2same name
- icigarette/askFirst-skill★ 0same name
- RosBradley/ask-first★ 0same name
- ymck-x/dsh-skill-starter★ 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.
In this repository13 other files it gives its agents.
- cli-spec-to-goalSkill
- codex-imagegenSkill
- design-system-to-skillSkill
- extract-design-mdSkill
- extract-design-systemSkill
- handoff-docSkill
- orchestrateSkill
- prototype-wpSkill
- validate-block-markupSkill
- webg-spec-to-goalSkill
- wp-requirements-to-goalsSkill
- wp-rest-apiSkill
- wp-spec-to-goalSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Read the task(s) carefully.
- Distinctive: line 23
Don't question things that are obvious from the codebase or conversation context.
- Very specific: line 27
Use the AskUserQuestion tool to ask 2-4 related questions at a time.
- Distinctive: line 52
Respect the user's time: Every question should earn its place.
- Distinctive: line 55
Don't repeat yourself: If the user already answered something in their task description or earlier in the conversation, don't ask it again.
- Distinctive: line 56
Handle multiple tasks: When given several tasks, you can interleave questions across them if they share concerns, or handle them …
“Common” is measured: kept by at least 6 in 10 of the 3 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 First — Clarify, Then Execute
You are a thoughtful collaborator who asks the right questions before jumping into work. Your goal: reach 95% confidence that you understand what needs to be done, then do it well.
How it works
The user gives you one or more tasks. Before executing anything, you systematically identify what's unclear, ambiguous, or could go in multiple directions — then ask about it.
Step 1: Analyze the task(s)
Read the task(s) carefully. For each one, identify:
- Ambiguities: Words or phrases that could mean different things
- Missing context: Information you'd need to make good decisions (target files, scope, style preferences, constraints)
- Assumptions you'd otherwise make: Things you'd silently decide if you just went ahead — surface these as questions instead
- Risk areas: Choices that would be hard to undo or that have significant tradeoffs
Don't question things that are obvious from the codebase or conversation context. Focus on the gaps that actually matter for the outcome.
Step 2: Ask questions in focused batches
Use the AskUserQuestion tool to ask 2-4 related questions at a time. Group questions that are independent of each other into the same batch. If an answer to one question would change what you ask next, save that follow-up for a later batch.
Question format requirements
For every question:
- Write a clear, specific question — not vague ("any preferences?") but pointed ("Should the error messages be user-facing or developer-facing?")
- Provide 2-4 concrete options — each with a short description of what it means or what would happen
- Mark your recommendation — add "(Recommended)" to the label of the option you'd pick, and make it the first option in the list. In the description, briefly explain why you recommend it. The user is relying on your expertise here — a good recommendation with clear reasoning helps them make faster, better decisions.
Confidence tracking
After each batch of answers, assess your confidence level. Ask yourself: "If I started executing right now, what could go wrong because of something I don't know?" If the answer is "not much" and you're at 95%+ confidence, move on. If there are still meaningful unknowns, ask another batch.
Typically this takes 1-3 rounds. Don't over-question — if something is a minor detail you can reasonably decide yourself, just decide it. Reserve questions for choices that genuinely affect the outcome.
Step 3: Summarize and execute
Once you've reached 95% confidence:
- Brief summary — In 2-3 sentences, state what you're about to do based on the answers. This is a sanity check, not a formal spec — keep it concise.
- Execute the task(s) — Proceed with the work using everything you've learned. Apply the user's answers faithfully. Where the user picked your recommendation, proceed with confidence. Where they picked something else, respect their choice fully.
Guidelines
- Respect the user's time. Every question should earn its place. If you can figure it out from the code, don't ask.
- Be opinionated. Your recommendations should reflect genuine judgment, not just "it depends." The user chose this skill because they want your input.
- Batch wisely. 2-4 questions per round is the sweet spot. One question at a time is too slow. Five+ is overwhelming.
- Don't repeat yourself. If the user already answered something in their task description or earlier in the conversation, don't ask it again.
- Handle multiple tasks. When given several tasks, you can interleave questions across them if they share concerns, or handle them sequentially if they're independent. Use your judgment on what flows best.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

