Project Guidelines Skill (Example)

Provide project-specific guidance on architecture, code patterns, testing, and deployment workflows.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/filipas123/Claude-Code-PKC-v1 --skill project-guidelines-skill-example-filipas123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Project Guidelines Skill (Example)
Source: https://github.com/filipas123/Claude-Code-PKC-v1/tree/main/skills/project-guidelines-example
Command: npx skills add https://github.com/filipas123/Claude-Code-PKC-v1 --skill project-guidelines-skill-example-filipas123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides project-specific guidance, ensuring adherence to established architecture, file structure, code patterns, testing requirements, and deployment workflows for a particular project.

Core Features & Use Cases

  • Project Context: Offers a deep dive into a specific project's technical stack, services, and file organization.
  • Code Standards: Details essential code patterns, API response formats, and integration examples (e.g., Claude AI).
  • Workflow Guidance: Outlines testing requirements, deployment procedures, and critical rules for development.
  • Use Case: When onboarding a new developer to the Zenith project, they can consult this Skill to quickly understand the project's structure, how to write backend tests, and the deployment process.

Quick Start

Refer to this skill for project-specific 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
How do I establish code standards and architecture patterns for a Next.js and FastAPI project?

To establish code standards for a Next.js and FastAPI project, define project-specific guidelines covering file structure, API response formats, and integration patterns. This ensures all developers adhere to a unified architecture and consistent codebase organization.

What is the best way to structure testing workflows across a full stack using React, Python, and Supabase?

The best way to structure testing workflows across React, Python, and Supabase is to implement structured testing methodologies that outline specific requirements for both frontend and backend components. This approach ensures comprehensive test coverage and reliable deployments.

Does this project guidelines approach work for integrating AI features using the Claude API?

Yes, this project guidelines approach works for AI integration by providing specific code patterns and API response formats for the Claude API. It defines structured examples to seamlessly incorporate AI functionalities within your existing backend architecture.

How do I document deployment workflows and development rules for onboarding new developers?

To document deployment workflows for new developers, outline critical development rules, deployment procedures, and testing requirements in a centralized reference. This provides immediate context on project structure and streamlines the onboarding process.

Can I use these development workflow guidelines for a monolithic Python backend, or is it only for full stack applications?

You can use these development workflow guidelines for a monolithic Python backend, as they detail specific backend code patterns and testing methodologies using FastAPI. The guidance is modular, applying to both standalone backend services and full stack applications.