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MRenAIAgent
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Project Guidelines Skill (Example)

Provide project-specific guidelines for the Zenith customer discovery platform.

Updated Aug 23, 2026
Search Tags:#testing#architecture#deployment#development standards#code patterns#project guidelines
One-click install
npx skills add https://github.com/MRenAIAgent/math_content_engine --skill project-guidelines-skill-example-mrenaiagent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Project Guidelines Skill (Example)
Source: https://github.com/MRenAIAgent/math_content_engine/tree/main/.claude/skills/project-guidelines-example
Command: npx skills add https://github.com/MRenAIAgent/math_content_engine --skill project-guidelines-skill-example-mrenaiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a centralized, easily accessible reference for project-specific development guidelines, ensuring consistency and adherence to best practices across the team.

Core Features & Use Cases

  • Architecture Overview: Details the tech stack, services, and deployment strategy.
  • File Structure: Outlines the expected organization of frontend and backend code.
  • Code Patterns: Provides examples of common API response formats, frontend API calls, AI integration, and custom hooks.
  • Testing Requirements: Specifies testing frameworks and structures for both backend and frontend.
  • Deployment Workflow: Guides through pre-deployment checks and deployment commands.
  • Critical Rules: Lists non-negotiable coding and development standards.

Quick Start

Refer to the project guidelines for the Zenith application to understand its architecture and code patterns.

Frequently Asked Questions about Project Guidelines Skill (Example)

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

FAQPage Schema
What are project-specific development guidelines for AI integration and React hooks?▼

Project-specific development guidelines provide standardized code patterns for AI integration, custom React hooks, and API response formats to ensure architectural consistency across an application's frontend and backend codebase.

How do I structure frontend and backend code for a customer discovery platform?▼

Structure frontend and backend code by following the file structure guidelines, which outline the expected organization for API responses, frontend calls, and AI integration components to maintain a consistent architecture.

What testing requirements do I need to follow for test-driven development?▼

Testing requirements mandate test-driven development (TDD), high code coverage, and specific testing frameworks for both backend and frontend structures to enforce critical development standards across the project.

What are the critical rules for code immutability and deployment workflows?▼

Critical rules enforce non-negotiable coding standards including code immutability, no emojis, and strict deployment workflows with predefined pre-deployment checks and deployment commands.

Can I use these code patterns for API responses with my existing tech stack?▼

Yes, the code patterns provide examples of common API response formats and frontend API calls designed to standardize your existing tech stack's architecture and integration workflows.

Why does my deployment workflow fail pre-deployment checks without high code coverage?▼

Deployment workflows fail because the project guidelines enforce critical rules like test-driven development (TDD) and high code coverage as mandatory pre-deployment checks before allowing any deployment commands to execute.

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