Skeleton API Go Skill

This skill helps you rapidly scaffold new Go API projects with a proven, production-ready structure.

What It Sets Up

A complete Go API project with:

Directory Structure

project-name/
├── cmd/api/main.go                 # Entry point
├── internal/
│   ├── container/                  # Dependency injection
│   ├── routes/                      # Public & private routes
│   ├── middleware/                  # Request validation, auth, etc.
│   ├── server/                      # Server initialization
│   ├── libraries/
│   │   ├── cloudflare/r2_client.go
│   │   └── mongodb/mongodb_client.go
│   └── shared/
│       ├── response/                # HTTP response helpers
│       ├── utils/                   # Utilities (MongoDB, R2, UUID, etc.)
│       └── validatorapi/            # Validation helpers
├── .env.example
├── Dockerfile
├── docker-compose.yml
├── go.mod & go.sum
└── README.md

Usage

When asked to “create a new Go API project” or similar, Claude will:

Step 1: Gather Requirements

• Project name
• Go module name (e.g., github.com/username/project)
• Base features (MongoDB, R2, routes structure)

Step 2: Generate Structure

This skill automates:

• Creating directory structure
• Generating go.mod with core dependencies
• Creating boilerplate files (main.go, server setup, routes)
• Docker and docker-compose files
• Environment template (.env.example)

Step 3: Provide Setup Steps

Clear commands to initialize and run the project:

cd project-name
go mod tidy
docker-compose up -d      # If using MongoDB locally
go run ./cmd/api/main.go

Key Features Included

1. Layered Architecture

• Clean separation: routes → middleware → handlers → services
• Easy to test and maintain

2. Dependency Injection (container.go)

• Centralized container for all dependencies
• Pass services cleanly through the app

3. Shared Response Format

• Consistent JSON responses
• Error handling with proper HTTP status codes

4. Validation

• Input validation middleware
• Built-in request validation helpers

5. Logging

• Structured, JSON-based logging (slog)
• Debug, info, error levels

6. Database & Storage Setup

• MongoDB client initialization
• R2/S3 client initialization
• Ready-to-use utility functions

Implementation Details

The skill will generate:

• main.go: Loads .env, initializes MongoDB, R2, sets up server
• server.go: Fiber server with routes and middleware registration
• container.go: Dependency container pattern
• routes files: Separated public and private routes
• middleware/validator.go: Request validation middleware
• Dockerfile: Multi-stage build (builder + runtime Alpine)
• docker-compose.yml: Local MongoDB setup
• .env.example: Template for environment variables

Customization Points

Once generated, you can easily:

• Add more routes (edit internal/routes/)
• Add middleware (edit internal/middleware/)
• Change database operations (edit internal services)
• Modify Docker settings (edit Dockerfile & docker-compose.yml)

Next Steps After Generation

1. Replace placeholder names in files (project name, module name)
2. Update README.md with your specific API endpoints
3. Add domain-specific handlers in internal/routes/
4. Create service layer for business logic
5. Implement actual database models in MongoDB