clarify
Skill1 starsChanged 5 months agoMITView on GitHub
This skill should be used when the user asks to "clarify requirements", "refine requirements", "specify requirements", "what do I mean", "make this clearer", or when the user's request is ambiguous and needs iterative questioning to become actionable. Also trigger when user says "clarify", "/clarify", or mentions unclear/vague requirements.
80 other projects use a version of this.
Adopted by
Most recently taken up by
- PeanutGT/NutsSkillstheir own version, first seen Nov 8, 2026
- venhdev/skillstheir own version, first seen Nov 8, 2026
- mel0nyrame/skillstheir own version, first seen Nov 8, 2026
- Integralist/agent-skillstheir own version, first seen Nov 6, 2026
- theexperiencecompany/gaiatheir own version, first seen Nov 3, 2026
- mag123c/toktracktheir own version, first seen Nov 3, 2026
Used with
Projects with it also use quieter, arrange and 10 more.
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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Other versions80 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 80
- spool-lab/spool★ 592same name
- paperboytm/spool★ 590same name
- talesofai/cohub★ 585same name
- zaxbysauce/opencode-swarm★ 519same name
- ZaxbyHub/opencode-swarm★ 518same name
- educlopez/ui-craft★ 441same name
- nexmoe/DayBee★ 424same name
- nexmoe/eve★ 424same name
- ryanthedev/code-foundations★ 381same name
- Southclaws/storyden★ 348same name
70 more not listed
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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The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 10 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 77 edited versions we read keep these.
10
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 12
When requirements are unclear, incomplete, or open to multiple interpretations, use structured questioning to extract the user's true …
- Distinctive: line 32
Use AskUserQuestion tool to resolve each ambiguity.
- Distinctive: line 35
Specific over general: Ask about concrete details, not abstract preferences
- Distinctive: line 37
One concern at a time: Avoid bundling multiple questions
- Distinctive: line 63
After clarification is complete, present the transformation:
- Distinctive: line 86
Ask if the user wants to save the clarified requirement:
- Very specific: line 99
Default location: requirements/ or project-appropriate directory
- Distinctive: line 141
When did it start? → After v2.1 update
- Distinctive: line 152
No assumptions: Ask, don't assume
- Distinctive: line 154
Minimal questions: Only what's needed
- Distinctive: line 156
Track changes: Always show before/after
“Common” is measured: kept by at least 6 in 10 of the 77 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
Clarify
Transform vague or ambiguous requirements into precise, actionable specifications through iterative questioning.
Purpose
When requirements are unclear, incomplete, or open to multiple interpretations, use structured questioning to extract the user's true intent before any implementation begins.
Protocol
Phase 1: Capture Original Requirement
Record the original requirement exactly as stated:
## Original Requirement
"{user's original request verbatim}"Identify ambiguities:
- What is unclear or underspecified?
- What assumptions would need to be made?
- What decisions are left to interpretation?
Phase 2: Iterative Clarification
Use AskUserQuestion tool to resolve each ambiguity. Continue until ALL aspects are clear.
Question Design Principles:
- Specific over general: Ask about concrete details, not abstract preferences
- Options over open-ended: Provide 2-4 choices (recognition > recall)
- One concern at a time: Avoid bundling multiple questions
- Neutral framing: Present options without bias
Loop Structure:
while ambiguities_remain:
identify_most_critical_ambiguity()
ask_clarifying_question() # Use AskUserQuestion tool
update_requirement_understanding()
check_for_new_ambiguities()AskUserQuestion Format:
question: "What authentication method should be used?"
options:
- label: "Username/Password"
description: "Traditional email/password login"
- label: "OAuth"
description: "Google, GitHub, etc. social login"
- label: "Magic Link"
description: "Passwordless email link"Phase 3: Before/After Comparison
After clarification is complete, present the transformation:
## Requirement Clarification Summary
### Before (Original)
"{original request verbatim}"
### After (Clarified)
**Goal**: [precise description of what user wants]
**Scope**: [what's included and excluded]
**Constraints**: [limitations, requirements, preferences]
**Success Criteria**: [how to know when done]
**Decisions Made**:
| Question | Decision |
|----------|----------|
| [ambiguity 1] | [chosen option] |
| [ambiguity 2] | [chosen option] |Phase 4: Save Option
Ask if the user wants to save the clarified requirement:
AskUserQuestion:
question: "Save this requirement specification to a file?"
options:
- label: "Yes, save to file"
description: "Save to requirements/ directory"
- label: "No, proceed"
description: "Continue without saving"If saving:
- Default location:
requirements/or project-appropriate directory - Filename: descriptive, based on requirement topic (e.g.,
auth-feature-requirements.md) - Format: Markdown with Before/After structure
Ambiguity Categories
Common types to probe:
| Category | Example Questions |
| Scope | What's included? What's explicitly out? |
| Behavior | Edge cases? Error scenarios? |
| Interface | Who/what interacts? How? |
| Data | Inputs? Outputs? Format? |
| Constraints | Performance? Compatibility? |
| Priority | Must-have vs nice-to-have? |
Examples
Example 1: Vague Feature Request
Original: "Add a login feature"
Clarifying questions (via AskUserQuestion):
- Authentication method? → Username/Password
- Registration included? → Yes, self-signup
- Session duration? → 24 hours
- Password requirements? → Min 8 chars, mixed case
Clarified:
- Goal: Add username/password login with self-registration
- Scope: Login, logout, registration, password reset
- Constraints: 24h session, bcrypt, rate limit 5 attempts
- Success: User can register, login, logout, reset password
Example 2: Bug Report
Original: "The export is broken"
Clarifying questions:
- Which export? → CSV
- What happens? → Empty file
- When did it start? → After v2.1 update
- Steps to reproduce? → Export any report
Clarified:
- Goal: Fix CSV export producing empty files
- Scope: CSV only, other formats work
- Constraint: Regression from v2.1
- Success: CSV contains correct data matching UI
Rules
- No assumptions: Ask, don't assume
- Preserve intent: Refine, don't redirect
- Minimal questions: Only what's needed
- Respect answers: Accept user decisions
- Track changes: Always show before/after
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