interactive-requirements-gathering
npx skills add https://github.com/oimiragieo/agent-studio --skill interactive-requirements-gathering
Agent 安装分布
Skill 文档
Interactive Requirements Gathering
Structured framework for gathering requirements through interactive questionnaires. Based on the Conductor methodology’s proven human-in-the-loop patterns.
When to Use
- Setting up new projects
- Defining product requirements
- Gathering feature specifications
- Onboarding users to new workflows
- Any task requiring structured user input
Core Principles
1. Question Classification
Before asking ANY question, classify its type:
| Type | Purpose | Phrasing | Example |
|---|---|---|---|
| Additive | Brainstorming, multiple answers valid | “Select all that apply” | “Which features do you need?” |
| Exclusive | Single choice required | No multi-select phrase | “Which framework should we use?” |
2. Question Structure
All questions MUST follow this structure:
[Question text]
A) [Option A - often recommended, marked with "(Recommended)"]
B) [Option B]
C) [Option C]
D) Type your own answer
E) Auto-generate and continue
3. Sequential Questioning
CRITICAL: Ask ONE question at a time. Wait for response before next question.
CORRECT:
1. Ask Question 1
2. Wait for response
3. Confirm understanding
4. Ask Question 2
INCORRECT:
1. Ask Questions 1, 2, and 3 together
Questionnaire Workflow
Step 1: Introduction
Announce the section you’re working on:
"I'll now help you define [section name]. I'll ask a few questions to understand your needs."
Step 2: Sequential Questions
For each question:
- Classify: Is this Additive or Exclusive?
- Formulate: Create clear question with options
- Present: Show options in A/B/C/D/E format
- Wait: Do NOT proceed without response
- Confirm: Summarize understanding before continuing
Step 3: Handle Special Options
Option D (Type your own):
- Accept user’s custom input
- Confirm the custom response
- Continue to next question
Option E (Auto-generate):
- Stop asking questions for this section
- Use best judgment based on previous answers
- Generate content and present for review
Step 4: Generate Content
CRITICAL: Use ONLY the user’s selected answers as source of truth.
CORRECT:
- User selected "OAuth 2.0" -> Generate OAuth implementation details
INCORRECT:
- Include Option A, B, C text that wasn't selected
- Include question text in generated content
Step 5: User Confirmation Loop
After generating content:
"I've drafted [document name]. Please review:"
[Content preview]
What would you like to do?
A) Approve - proceed to next step
B) Suggest Changes - tell me what to modify
Please respond with A or B.
Loop until approved or user provides alternative direction.
Question Patterns
Product Vision Questions (Additive)
What are the primary goals of this product? (Select all that apply)
A) Improve user productivity
B) Reduce operational costs
C) Enhance customer experience
D) Type your own answer
E) Auto-generate and continue
Technology Selection Questions (Exclusive)
Which database should we use?
A) PostgreSQL (Recommended) - Best for relational data with complex queries
B) MongoDB - Document store for flexible schemas
C) SQLite - Lightweight for small applications
D) Type your own answer
E) Auto-generate and continue
Feature Scoping Questions (Additive)
Which authentication methods should be supported? (Select all that apply)
A) Email/Password
B) OAuth (Google, GitHub)
C) Magic Links
D) Type your own answer
E) Auto-generate and continue
Integration with AskUserQuestion Tool
When using the AskUserQuestion tool, map to this framework:
AskUserQuestion({
questions: [
{
header: 'Database',
question: 'Which database should we use?',
multiSelect: false, // Exclusive question
options: [
{ label: 'PostgreSQL (Recommended)', description: 'Best for relational data' },
{ label: 'MongoDB', description: 'Document store for flexible schemas' },
{ label: 'SQLite', description: 'Lightweight for small apps' },
],
},
],
});
State Persistence
For multi-step questionnaires, save progress:
{
"last_successful_step": "2.1_product_guide",
"answers": {
"product_type": "SaaS",
"target_users": ["developers", "teams"]
}
}
This enables resuming interrupted workflows.
Example Session
AGENT: "I'll help you define the product vision. First question:"
"Who are the primary users of this product?"
A) Developers
B) Business users
C) End consumers
D) Type your own answer
E) Auto-generate and continue
USER: A, B
AGENT: "Got it - targeting developers and business users. Next question:"
"What problem does this product solve?"
A) Streamlines workflows
B) Reduces manual work
C) Improves collaboration
D) Type your own answer
E) Auto-generate and continue
USER: D - "Automates code review feedback"
AGENT: "Understood - the product automates code review feedback for developers and business users. Let me generate the product vision..."
Anti-Patterns
Do NOT:
- Ask multiple questions at once
- Include unselected options in generated content
- Skip confirmation steps
- Assume answers without asking
- Use technical jargon in options without explanation
Do:
- One question at a time
- Clear, concise option descriptions
- Summarize understanding frequently
- Include escape hatches (D, E options)
- Respect user’s custom inputs
Related Skills
project-onboarding– Use this framework during project setupcontext-driven-development– Generate context artifacts from answersbrainstorming– Alternative for open-ended exploration
Memory Protocol (MANDATORY)
Before starting:
Read .claude/context/memory/learnings.md
After completing:
- New pattern discovered ->
.claude/context/memory/learnings.md - Issue encountered ->
.claude/context/memory/issues.md - Decision made ->
.claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it’s not in memory, it didn’t happen.