refining-requirements

Refine rough PRD prose into implementation-ready specifications with data models and APIs.

7|Updated Nov 27, 2025
One-click install
npx skills add https://github.com/galihcitta/dotclaudeskills --skill refining-requirements
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refining-requirements
Source: https://github.com/galihcitta/dotclaudeskills/tree/main/skills/refining-requirements
Command: npx skills add https://github.com/galihcitta/dotclaudeskills --skill refining-requirements

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the ambiguity and incompleteness often found in product requirements documents (PRDs). It prevents costly rework and delays by transforming rough, prose-heavy requirements into structured, implementation-ready specifications, ensuring clarity before a single line of code is written.

Core Features & Use Cases

  • Auto-Detect Project Context: Automatically identifies the tech stack (e.g., Node.js, Go, Python, Java) and reads project conventions from CLAUDE.md to tailor the refinement process.
  • Validate File Paths: Verifies if referenced files exist (✓ EXISTS), need creation (✗ CREATE), or require confirmation (? VERIFY) against the actual codebase, providing a clear action plan for file modifications.
  • Structure & Refine: Converts narrative requirements into detailed sections, including data models, API contracts, business logic, test scenarios, and security checklists, optimized for AI code execution.
  • Multi-Stack & Greenfield Support: Handles complex scenarios like monorepos with multiple languages or entirely new projects built from scratch, generating stack-specific guidance.
  • Use Case: A developer receives a PRD that is vague, scatters file paths, and says "similar to X" without explanation. This skill refines it into a detailed, structured specification with clear file mappings, API definitions, and a security checklist, ready for immediate coding.

Quick Start

Refine the attached Product Requirements Document (PRD) into an implementation-ready specification.

Frequently Asked Questions about refining-requirements

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

FAQPage Schema
How do I transform vague product requirements into detailed implementation specs?

Refining requirements converts narrative PRDs into structured specifications with clear data models, API contracts, and acceptance criteria. This Skill auto-detects your tech stack, validates file paths against your codebase, and generates implementation-ready outputs including security checklists and test scenarios, eliminating ambiguity before coding begins.

Can this work with multiple programming languages and monorepos?

Yes. Requirements refinement supports multi-stack projects by auto-detecting tech stacks like Node.js, Go, Python, and Java, reading project conventions from CLAUDE.md, and tailoring specifications accordingly. It handles monorepos with multiple languages and greenfield projects equally.

What does file path validation do during requirements refinement?

File path validation checks referenced files in your actual codebase and marks them as EXISTS (found), CREATE (needs creation), or VERIFY (needs confirmation). This clarifies the file modification action plan before implementation starts.

How do I ensure requirements cover data models, APIs, and security before development?

Requirements refinement structures specifications into sections covering data models, API contracts, business logic, test scenarios, and security checklists. It extracts phase workflows, resolves ambiguous scope, and generates acceptance criteria tailored to your tech stack.

Do I need an existing codebase to refine requirements?

No. Requirements refinement supports both greenfield projects with no existing code and established projects. For greenfield, it generates stack-specific scaffolding guidance; for existing projects, it validates against real file paths and project conventions.

What happens when a PRD says 'similar to X' without detail?

Requirements refinement resolves vague references by structuring them into concrete scope, explicit data models, API definitions, and clear file mappings. It transforms narrative comparisons into actionable specifications ready for immediate coding.