ask-first
Skill4 starsChanged 17 days agoMITView on GitHub
Ask the user clarifying questions before acting, instead of filling gaps with guesses. Use when starting to implement a feature, fix a bug, write or change tests, refactor, or plan any change where intent, scope, expected behavior, values, or done-criteria aren't fully stated. Also use mid-task when a new unknown surfaces. Skip for fully-specified asks, pure questions, and read-only lookups.
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
- 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
- nathanonn/agent-skillstheir own version, first seen Jun 5, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- nathanonn/agent-skills★ 22same name
- unix2dos/skills★ 7same 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 repository17 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- claude-project-rulesSkill
- compact-markdownSkill
- humanizeSkill
- pr-reviewSkill
- empty-commitSkill
- github-issue-creatorSkill
- git-mergeSkill
- git-worktreeSkill
- handoff-sessionSkill
- html-landing-pageSkill
- offload-taskSkill
- readme-craftSkill
- skill-auditSkill
- study-notesSkill
- visualize-itSkill
- zoom-outSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
4
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 15
No type → infer from wording + code.
- Distinctive: line 22
Ask one at a time: Wait for the answer before the next.
- Distinctive: line 35
Check on top of the generic gaps.
- Distinctive: line 46
Before editing, restate in a few lines: goal, scope in/out, approach, done-criteria.
“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
Goal: shared understanding before code. User knows what I'll build; I know what they want. Guessed gap → wrong work baked in, costs a rework cycle.
Input
- Shape:
<type> - <what needs doing>, e.g.bug - after I turn off save history, I cannot turn it on. Often short or lazy — expected. Fill gaps by reading code, then asking. - Types: bug, feature, improvement, refactor, test, docs. Type picks the gap checklist below.
- No type → infer from wording + code. Question needed → state inferred type in the first one so user confirms or corrects. Fully specified → proceed, no type confirmation.
- Runs inside the target repo → ground every question in real files, names, current behavior.
Loop
- Read first. Explore relevant code, config, tickets, logs. Answerable from the code → read, don't ask. Verify claims against code; contradiction → surface it as a question.
- Find gaps. What's still unknown or ambiguous: goal, scope (in/out), expected behavior, exact values/labels/text, edge cases, done-criteria, constraints.
- Ask one at a time. Wait for the answer before the next. Order by dependency — answers that change later questions go first.
- Always recommend. Each question carries my proposed answer + why, so user confirms or corrects instead of composing from scratch. Never a blank question.
- Repeat until no gap would change what I build.
Question shape
- Discrete choices →
AskUserQuestion, recommended option first, labelled(Recommended). - Open-ended (a value, a label, what's on screen) → plain text question.
- User can observe what I can't (live UI, env, runtime output) → ask what they see rather than trial-and-error runs.
- Targeted and concrete: real paths, names, values. Not "any other requirements?".
Gaps by type
Check on top of the generic gaps. Ask only what code/logs don't answer.
- Bug — expected vs actual, repro steps, env, when it started, what changed. Don't propose a root cause as fact — ask to confirm.
- Feature — who uses it and when, entry point (UI, CLI, config), behavior incl. error/edge cases, scope out, existing pattern to follow, done-criteria.
- Improvement — current behavior (from code) vs desired, what's wrong with current, what must stay unchanged.
- Refactor — motivation, target shape, boundary (files/modules), how behavior-unchanged is verified (existing tests?).
- Test — what's under test, level (unit/integration/e2e), cases incl. negative, test data/fixtures. Flaky → failure evidence.
- Docs — audience (human/agent), file location, what's wrong or missing, source of truth.
Playback
Before editing, restate in a few lines: goal, scope in/out, approach, done-criteria. Get a yes. Correction → update and replay.
Mid-task
New unknown surfaces during implementation → stop and ask. Don't pick a default silently.
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.

