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patrickrmoore
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sddp-specify

Convert natural language feature ideas into structured specifications with user stories and acceptance criteria.

Updated Mar 22, 2026
Search Tags:#workflow#specification#requirements#feature#product-management#user-stories
One-click install
npx skills add https://github.com/patrickrmoore/sdd-test --skill sddp-specify
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sddp-specify
Source: https://github.com/patrickrmoore/sdd-test/tree/main/.claude/skills/sddp-specify
Command: npx skills add https://github.com/patrickrmoore/sdd-test --skill sddp-specify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Feature discovery teams face ambiguity when turning vague ideas into concrete requirements. This skill converts natural language descriptions into structured feature specifications, including requirements, user stories, and acceptance criteria, reducing miscommunication and speeding handoffs.

Core Features & Use Cases

  • Capture WHAT and WHY from a user narrative to produce clear requirements and user stories.
  • Generate acceptance criteria, success metrics, and a runnable workflow outline that can be delegated to specialized roles (Context Gatherer, Spec Validator, Policy Auditor, Technical Researcher).
  • Use Case: A product manager describes a new authentication flow; the skill outputs a PRD-ready spec, ready for review by stakeholders.

Quick Start

Provide a natural language description of the feature you want, and the skill will generate a complete specification workflow.

Frequently Asked Questions about sddp-specify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert natural language feature ideas into structured product specifications?▼

To convert natural language feature ideas into structured product specifications, provide a narrative describing the feature; the system extracts the WHAT and WHY to generate clear requirements, user stories, and acceptance criteria for stakeholder review.

What is the best way to generate user stories and acceptance criteria from a vague product idea?▼

Generating user stories and acceptance criteria from a vague product idea involves capturing the core narrative to produce structured outputs, including success metrics and a runnable workflow outline ready for cross-functional handoffs.

How does a multi-delegate workflow refine feature requirements during product discovery?▼

A multi-delegate workflow refines feature requirements by orchestrating specialized roles like Context Gatherer, Spec Validator, and Policy Auditor to guide context gathering, validation, and governance steps throughout the specification process.

Can I create a PRD-ready feature spec automatically from a simple text description?▼

Yes, you can create a PRD-ready feature spec automatically from a simple text description by inputting your natural language feature idea, which the system transforms into a structured specification with success criteria.

What limitations exist when using automated specification generation for complex feature workflows?▼

Automated specification generation for complex feature workflows captures the WHAT and WHY but may require manual refinement for highly technical implementation details, focusing primarily on reducing ambiguity and speeding up cross-functional handoffs.

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