PRD Review and Design Organizer for Openclaw

A specialized tool for automating the audit of Product Requirement Documents and extracting prioritized design requirements for streamlined development.

hollis0220
v1.0.2
Mar 23, 2026
0
912
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install prd-review

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install prd-review using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is PRD Review and Design Organizer?

The PRD Review and Design Organizer is a powerful addition to the Openclaw Skills library, specifically engineered to bridge the gap between product management and design. It automates the tedious process of reviewing commercial Product Requirement Documents (PRDs) for logical consistency, accuracy, and closed-loop business flows.

By leveraging this skill, teams can instantly identify logic gaps, extract critical UI/UX design points, and categorize tasks into High, Medium, or Low priority. This ensures that designers receive standardized, actionable documentation, reducing the need for back-and-forth clarifications and accelerating the transition from requirement to implementation.

PRD Review and Design Organizer Use Cases

  • Automatically auditing commercial PRDs for logical accuracy and business loop integrity.
  • Extracting core design points including interface, interaction, and visual requirements from text or documents.
  • Assigning design priorities and estimating man-hours for better project scheduling.
  • Standardizing communication between product managers, designers, and developers during handovers.

How PRD Review and Design Organizer Works

  1. The user provides a PRD via local file upload (.docx, .pdf, .md, .txt) or by pasting raw text content into the interface.
  2. Openclaw Skills utilizes a dedicated document parser to extract core information dimensions such as business logic, user scenarios, and constraints.
  3. The skill performs a dual-layer logic audit, checking for objective accuracy (matching goals to background) and closed-loop consistency (handling exceptions and payment flows).
  4. Design requirements are extracted and categorized across four dimensions: Interface, Interaction, Visual, and State (e.g., error or empty states).
  5. Tasks are assigned a priority level (High/Medium/Low) based on commercial impact and design complexity, outputting a designer-friendly report.

PRD Review and Design Organizer Setup

To use this skill, ensure you have the required Python dependencies installed in your environment:

pip install python-docx==1.1.0 PyPDF2==3.0.1

You can then run the document parser directly for local files:

python scripts/doc_parser.py <path_to_your_prd_document>

PRD Review and Design Organizer Data Schema & Taxonomy

The skill organizes data based on a standardized review checklist and outputs a structured document. The primary data taxonomy includes:

Data Category Key Fields
Basic Info Project Name, Proposer, Background, Core Goals
Logic Audit Issue Location, Impact Scope, Severity, Repair Suggestion
Design Points Interface Layout, Interaction Flow, Visual Hierarchy, State Logic
Scheduling Priority Level, Estimated Man-hours, Dependencies

PRD Review and Design Organizer Advanced Features

  • Multi-format support for seamless integration with existing Word, PDF, and Markdown workflows within Openclaw Skills.
  • Deep commercial logic auditing specifically for monetization flows, payment exceptions, and user retention loops.
  • Automated man-hour estimation (0.5 to 3 days) based on the extracted design complexity.
  • Flexible output modes providing either a 'Concise Version' for quick syncs or a 'Detailed Version' for formal archiving.

SKILL.md


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