openprd-shared

Standardize operational protocols and quality assurance workflows for OpenPrd-compatible repositories.

283|45|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/DavidLam-oss/obsidian-wechat-converter --skill openprd-shared
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openprd-shared
Source: https://github.com/DavidLam-oss/obsidian-wechat-converter/tree/main/.claude/skills/openprd-shared
Command: npx skills add https://github.com/DavidLam-oss/obsidian-wechat-converter --skill openprd-shared

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a unified set of operational rules, quality gates, and communication standards to ensure consistency and reliability across all OpenPrd-managed projects.

Core Features & Use Cases

  • Operational Guardrails: Defines strict protocols for workspace state management, task execution, and file system interaction to prevent common errors.
  • Quality Assurance: Enforces mandatory validation steps, including quality reports and dev-check routines, before finalizing any implementation.
  • Communication Standards: Standardizes how agents output information, use tables for complex data, and handle visual evidence for UI/UX tasks.

Quick Start

Apply the openprd-shared rules to your current workspace to ensure all subsequent tasks follow the established quality and communication standards.

Frequently Asked Questions about openprd-shared

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

FAQPage Schema
How do I standardize operational protocols for AI agents in a development workspace?

To standardize operational protocols for AI agents, apply shared workspace rules that enforce strict state management, task execution guardrails, and file system interaction constraints to prevent common errors.

What quality gates are required for AI-driven development environments?

Mandatory quality gates for AI-driven environments require validation steps, including quality reports and dev-check routines, to be executed and passed before finalizing any code implementation.

How do I enforce communication standards for AI agents managing documentation?

Enforce communication standards for AI agents by applying rules that standardize information output, require tables for complex data structuring, and mandate visual evidence for UI/UX task completion.

Do I need an OpenPrd-compatible repository to use standardized agent governance rules?

Yes, an OpenPrd-compatible repository is required, as these standardized workspace rules apply specifically to task management, code implementation, and documentation maintenance within OpenPrd-managed projects.

Why does my AI agent fail dev-check routines before finalizing an implementation?

AI agents fail dev-check routines when they do not strictly adhere to defined validation gates and quality assurance workflows required before finalizing implementations in OpenPrd-compatible repositories.

What is the best way to maintain consistency across AI-managed development projects?

The best way to maintain consistency across AI-managed projects is to apply a unified set of operational guardrails, quality assurance workflows, and communication standards across all managed repositories.