プロジェクトガイドラインスキル(例)

Document project guidelines for Python/FastAPI and Next.js/React with deployment workflows.

19|4|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/j7-dev/everything-github-copilot --skill -j7-dev
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Skill: プロジェクトガイドラインスキル(例)
Source: https://github.com/j7-dev/everything-github-copilot/tree/main/docs/ja-JP/skills/project-guidelines-example
Command: npx skills add https://github.com/j7-dev/everything-github-copilot --skill -j7-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of a specific project's architecture, file structure, coding patterns, testing requirements, and deployment workflows, serving as a template for new projects.

Core Features & Use Cases

  • Architecture Overview: Understand the technology stack and service interactions.
  • File Structure: Familiarize yourself with the project's organization.
  • Coding Patterns: Learn standard API response formats, frontend/backend API call conventions, AI integration examples, and custom React hooks.
  • Testing Requirements: See examples of backend (pytest) and frontend (React Testing Library) test structures and commands.
  • Deployment Workflow: Review pre-deployment checklists and deployment commands.

Quick Start

Refer to this skill when working on the specific project it documents to understand its architecture and conventions.

Frequently Asked Questions about プロジェクトガイドラインスキル(例)

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

FAQPage Schema
How do I document project guidelines for a Python FastAPI and Next.js React stack?

To document project guidelines for a Python FastAPI and Next.js React stack, you outline architecture, file structure, coding patterns, testing, and deployment workflows to standardize development practices across both services.

What coding patterns should I use for API response formats in a FastAPI backend?

Standard coding patterns for API response formats in a FastAPI backend involve defining consistent JSON structures for frontend API calls, ensuring the Next.js React frontend receives predictable data for custom hooks and state management.

How do I structure tests using pytest and React Testing Library?

To structure tests using pytest and React Testing Library, you define backend test cases in pytest for FastAPI endpoints and frontend component tests using React Testing Library, executing them via standard test commands.

Does this project guideline template cover deployment to Google Cloud Run?

Yes, this project guideline template covers deployment to Google Cloud Run by providing pre-deployment checklists and specific deployment commands to ensure a standardized release workflow.

What is the best way to integrate Claude AI into a FastAPI and React project?

The best way to integrate Claude AI into a FastAPI and React project is by defining specific backend API patterns that handle AI requests and creating frontend conventions that process the responses through custom React hooks.