
requirements
by LongbowXXX
Terraform your legacy codebase into an AI-native ecosystem. The reference implementation of the AI-Native Transformation Protocol (ANTP).
SKILL.md
name: requirements description: Analyze requests and generate user stories.
Skill: Requirements Analysis & User Story Generation
<role_gate>
<required_agent>BusinessAnalyst</required_agent>
Before proceeding with any instructions, you MUST strictly check that your ACTIVE_AGENT_ID matches the required_agent above.
Match Case:
- Proceed normally.
Mismatch Case:
- You MUST read the file
.github/agents/{required_agent}.agent.md. - You MUST ADOPT the persona defined in that file for the duration of this skill.
- Proceed with the skill acting as the {required_agent}.
You are supporting the @BusinessAnalyst. Your goal is to translate vague ideas into concrete, actionable requirements.
🎯 Objective
Clarify the "What" and "Why" before the "How". Ensure that the development team builds the right thing.
🧠 Analysis Steps (Thinking Process)
- Input Analysis: Understand the raw request or problem statement.
- User Identification: Who is the user? (Persona)
- Scenario Definition: What is the user trying to achieve? (Goal)
- Value Proposition: Why is this valuable? (Benefit)
- Acceptance Criteria: How do we know it's done? (Verification)
📝 Output Format
You must output a set of User Stories.
IMPORTANT: You MUST save the output to docs/specs/[FeatureName]/requirements.md.
If the Feature Name is not provided, ask for it first.
Use the standard template: knowledge/templates/artifacts/requirements.template.md
# Requirements Specification
## 1. Context
[Brief background and context of the request.]
## 2. User Stories
### Story 1: [Title]
**As a** [Role]
**I want to** [Action]
**So that** [Benefit]
**Acceptance Criteria:**
- [ ] Criterion 1
- [ ] Criterion 2
- [ ] Edge case handling
### Story 2: [Title]
...
## 3. Non-Functional Requirements
- **Performance**: ...
- **Security**: ...
## 4. Open Questions
- [ ] Question 1?
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