vague
npx skills add https://github.com/october-academy/agent-plugins --skill vague
Agent 安装分布
Skill 文档
Vague: Requirement Clarification
Transform vague requirements into precise, actionable specifications through hypothesis-driven questioning.
When to Use
- Ambiguous feature requests (“add a login feature”)
- Incomplete bug reports (“the export is broken”)
- Underspecified tasks (“make the app faster”)
For strategy/planning blind spot analysis, use unknown. For content-vs-form reframing, use metamedium.
Core Principle: Hypotheses as Options
Use AskUserQuestion for clarification. Do not ask open-ended free-text questions when options can represent plausible hypotheses.
- Bad:
What kind of login do you want? - Good:
OAuth / Email+Password / SSO / Magic link
Each option should be a testable interpretation of user intent.
Invocation
Parse input:
- REQUIREMENT: requirement text (required)
- –max-iterations N: max rounds (default: 3)
Initialization
- Create
.claude/clarify-vague.local.md:
---
active: true
iteration: 1
max_iterations: [MAX_ITERATIONS]
original_requirement: "[REQUIREMENT]"
started_at: "[ISO timestamp]"
---
## Original Requirement
"[REQUIREMENT]"
## Clarification Progress
(Decisions are appended as the loop progresses)
- Confirm activation:
Vague clarification loop activated!
Original Requirement: "[REQUIREMENT]"
Max Iterations: [MAX_ITERATIONS]
To cancel: /cancel
Protocol
Phase 1: Diagnose Ambiguity
Capture unknowns across categories:
- Scope
- Behavior
- Data / Interface
- Constraints / Priority
- Success criteria
Phase 2: Iterative Clarification
Use AskUserQuestion to resolve ambiguities.
Rules:
- Ask exactly 4 questions per round
- Use exactly 4 options per question
- Last question’s last option must be:
Clarification complete - proceed with current understanding - Batch all 4 questions in a single AskUserQuestion call
- Cap total rounds by
--max-iterations
Phase 3: Completion Check
Stop when either condition is met:
- User selects clarification-complete option
- Max iterations reached
Phase 4: Before/After Summary
Output:
## Requirement Clarification Summary
### Before (Original)
"{original requirement verbatim}"
### After (Clarified)
**Goal**: [precise description]
**Reason**: [why this matters]
**Scope**: [included and excluded]
**Constraints**: [limitations and preferences]
**Success Criteria**: [how completion is verified]
**Decisions Made**:
| Question | Decision |
|----------|----------|
| [ambiguity 1] | [selected option] |
Then output:
<promise>CLARIFICATION COMPLETE</promise>
Only output the promise when clarification is genuinely complete.
Question Design Rules
- Hypothesis options over open questions
- Neutral framing (avoid leading choices)
- One ambiguity axis per question
- Preserve user intent (refine, do not redirect)
- Keep language concrete and implementation-relevant
Now begin by creating the state file, identifying four critical ambiguities, and asking the first AskUserQuestion batch.