#601

Global Rank · of 601 Skills

requirements-clarity AI Agent Skill

View Source: cachemoney/agent-toolkit

Safe

Installation

npx skills add cachemoney/agent-toolkit --skill requirements-clarity

8

Installs

Requirements Clarity Skill

Description

Automatically transforms vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system.

Instructions

When invoked, detect vague requirements:

  1. Vague Feature Requests

    • User says: "add login feature", "implement payment", "create dashboard"
    • Missing: How, with what technology, what constraints?

  2. Missing Technical Context

    • No technology stack mentioned
    • No integration points identified
    • No performance/security constraints

  3. Incomplete Specifications

    • No acceptance criteria
    • No success metrics
    • No edge cases considered
    • No error handling mentioned

  4. Ambiguous Scope

    • Unclear boundaries ("user management" - what exactly?)
    • No distinction between MVP and future enhancements
    • Missing "what's NOT included"

Do NOT activate when:

  • Specific file paths mentioned (e.g., "auth.go:45")
  • Code snippets included
  • Existing functions/classes referenced
  • Bug fixes with clear reproduction steps

Core Principles

  1. Systematic Questioning

    • Ask focused, specific questions
    • One category at a time (2-3 questions per round)
    • Build on previous answers
    • Avoid overwhelming users

  2. Quality-Driven Iteration

    • Continuously assess clarity score (0-100)
    • Identify gaps systematically
    • Iterate until ≥ 90 points
    • Document all clarification rounds

  3. Actionable Output

    • Generate concrete specifications
    • Include measurable acceptance criteria
    • Provide executable phases
    • Enable direct implementation

Clarification Process

Step 1: Initial Requirement Analysis

Input: User's requirement description

Tasks:

  1. Parse and understand core requirement
  2. Generate feature name (kebab-case format)
  3. Determine document version (default 1.0 unless user specifies otherwise)
  4. Ensure ./docs/prds/ exists for PRD output
  5. Perform initial clarity assessment (0-100)

Assessment Rubric:

Functional Clarity: /30 points
- Clear inputs/outputs: 10 pts
- User interaction defined: 10 pts
- Success criteria stated: 10 pts

Technical Specificity: /25 points
- Technology stack mentioned: 8 pts
- Integration points identified: 8 pts
- Constraints specified: 9 pts

Implementation Completeness: /25 points
- Edge cases considered: 8 pts
- Error handling mentioned: 9 pts
- Data validation specified: 8 pts

Business Context: /20 points
- Problem statement clear: 7 pts
- Target users identified: 7 pts
- Success metrics defined: 6 pts

Initial Response Format:

I understand your requirement. Let me help you refine this specification.

**Current Clarity Score**: X/100

**Clear Aspects**:
- [List what's clear]

**Needs Clarification**:
- [List gaps]

Let me systematically clarify these points...

Step 2: Gap Analysis

Identify missing information across four dimensions:

1. Functional Scope

  • What is the core functionality?
  • What are the boundaries?
  • What is out of scope?
  • What are edge cases?

2. User Interaction

  • How do users interact?
  • What are the inputs?
  • What are the outputs?
  • What are success/failure scenarios?

3. Technical Constraints

  • Performance requirements?
  • Compatibility requirements?
  • Security considerations?
  • Scalability needs?

4. Business Value

  • What problem does this solve?
  • Who are the target users?
  • What are success metrics?
  • What is the priority?

Step 3: Interactive Clarification

Question Strategy:

  1. Start with highest-impact gaps
  2. Ask 2-3 questions per round
  3. Build context progressively
  4. Use user's language
  5. Provide examples when helpful

Question Format:

I need to clarify the following points to complete the requirements document:

1. **[Category]**: [Specific question]?
   - For example: [Example if helpful]

2. **[Category]**: [Specific question]?

3. **[Category]**: [Specific question]?

Please provide your answers, and I'll continue refining the PRD.

After Each User Response:

  1. Update clarity score
  2. Capture new information in the working PRD outline
  3. Identify remaining gaps
  4. If score < 90: Continue with next round of questions
  5. If score ≥ 90: Proceed to PRD generation

Score Update Format:

Thank you for the additional information!

**Clarity Score Update**: X/100 → Y/100

**New Clarified Content**:
- [Summarize new information]

**Remaining Points to Clarify**:
- [List remaining gaps if score < 90]

[If score < 90: Continue with next round of questions]
[If score ≥ 90: "Perfect! I will now generate the complete PRD document..."]

Step 4: PRD Generation

Once clarity score ≥ 90, generate comprehensive PRD.

Output File:

  1. Final PRD: ./docs/prds/{feature_name}-v{version}-prd.md

Use the Write tool to create or update this file. Derive {version} from the document version recorded in the PRD (default 1.0).

PRD Document Structure

# {Feature Name} - Product Requirements Document (PRD)

## Requirements Description

### Background
- **Business Problem**: [Describe the business problem to solve]
- **Target Users**: [Target user groups]
- **Value Proposition**: [Value this feature brings]

### Feature Overview
- **Core Features**: [List of main features]
- **Feature Boundaries**: [What is and isn't included]
- **User Scenarios**: [Typical usage scenarios]

### Detailed Requirements
- **Input/Output**: [Specific input/output specifications]
- **User Interaction**: [User operation flow]
- **Data Requirements**: [Data structures and validation rules]
- **Edge Cases**: [Edge case handling]

## Design Decisions

### Technical Approach
- **Architecture Choice**: [Technical architecture decisions and rationale]
- **Key Components**: [List of main technical components]
- **Data Storage**: [Data models and storage solutions]
- **Interface Design**: [API/interface specifications]

### Constraints
- **Performance Requirements**: [Response time, throughput, etc.]
- **Compatibility**: [System compatibility requirements]
- **Security**: [Security considerations]
- **Scalability**: [Future expansion considerations]

### Risk Assessment
- **Technical Risks**: [Potential technical risks and mitigation plans]
- **Dependency Risks**: [External dependencies and alternatives]
- **Schedule Risks**: [Timeline risks and response strategies]

## Acceptance Criteria

### Functional Acceptance
- [ ] Feature 1: [Specific acceptance conditions]
- [ ] Feature 2: [Specific acceptance conditions]
- [ ] Feature 3: [Specific acceptance conditions]

### Quality Standards
- [ ] Code Quality: [Code standards and review requirements]
- [ ] Test Coverage: [Testing requirements and coverage]
- [ ] Performance Metrics: [Performance test pass criteria]
- [ ] Security Review: [Security review requirements]

### User Acceptance
- [ ] User Experience: [UX acceptance criteria]
- [ ] Documentation: [Documentation delivery requirements]
- [ ] Training Materials: [If needed, training material requirements]

## Execution Phases

### Phase 1: Preparation
**Goal**: Environment preparation and technical validation
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 2: Core Development
**Goal**: Implement core functionality
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 3: Integration & Testing
**Goal**: Integration and quality assurance
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 4: Deployment
**Goal**: Release and monitoring
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

---

**Document Version**: 1.0
**Created**: {timestamp}
**Clarification Rounds**: {clarification_rounds}
**Quality Score**: {quality_score}/100

Behavioral Guidelines

DO

  • Ask specific, targeted questions
  • Build on previous answers
  • Provide examples to guide users
  • Maintain conversational tone
  • Summarize clarification rounds within the PRD
  • Use clear, professional English
  • Generate concrete specifications
  • Stay in clarification mode until score ≥ 90

DON'T

  • Ask all questions at once
  • Make assumptions without confirmation
  • Generate PRD before 90+ score
  • Skip any required sections
  • Use vague or abstract language
  • Proceed without user responses
  • Exit skill mode prematurely

Success Criteria

  • Clarity score ≥ 90/100
  • All PRD sections complete with substance
  • Acceptance criteria checklistable (using - [ ] format)
  • Execution phases actionable with concrete tasks
  • User approves final PRD
  • Ready for development handoff

Installs

Installs 8
Global Rank #601 of 601

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Low

How to use this skill

1

Install requirements-clarity by running npx skills add cachemoney/agent-toolkit --skill requirements-clarity in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of requirements-clarity, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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