workflow-automation

name	workflow-automation
description	Automate repetitive development tasks and workflows. Use when creating build scripts, automating deployments, or setting up development workflows. Handles npm scripts, Makefile, GitHub Actions workflows, and task automation.
metadata	{"tags":"automation, scripts, workflow, npm-scripts, Makefile, task-runner","platforms":"Claude, ChatGPT, Gemini"}

Workflow Automation

When to use this skill

• Repetitive tasks: running the same commands every time
• Complex builds: multi-step build processes
• Team onboarding: a consistent development environment

Instructions

Step 1: npm scripts

package.json:

{
  "scripts": {
    "dev": "nodemon src/index.ts",
    "build": "tsc && vite build",
    "test": "jest --coverage",
    "test:watch": "jest --watch",
    "lint": "eslint src --ext .ts,.tsx",
    "lint:fix": "eslint src --ext .ts,.tsx --fix",
    "format": "prettier --write \"src/**/*.{ts,tsx,json}\"",
    "type-check": "tsc --noEmit",
    "pre-commit": "lint-staged",
    "prepare": "husky install",
    "clean": "rm -rf dist node_modules",
    "reset": "npm run clean && npm install",
    "docker:build": "docker build -t myapp .",
    "docker:run": "docker run -p 3000:3000 myapp"
  }
}

Step 2: Makefile

Makefile:

.PHONY: help install dev build test clean docker

.DEFAULT_GOAL := help

help: ## Show this help
	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-20s\033[0m %s\n", $$1, $$2}'

install: ## Install dependencies
	npm install

dev: ## Start development server
	npm run dev

build: ## Build for production
	npm run build

test: ## Run all tests
	npm test

lint: ## Run linter
	npm run lint

lint-fix: ## Fix linting issues
	npm run lint:fix

clean: ## Clean build artifacts
	rm -rf dist coverage

docker-build: ## Build Docker image
	docker build -t myapp:latest .

docker-run: ## Run Docker container
	docker run -d -p 3000:3000 --name myapp myapp:latest

deploy: build ## Deploy to production
	@echo "Deploying to production..."
	./scripts/deploy.sh production

ci: lint test build ## Run CI pipeline locally
	@echo "✅ CI pipeline passed!"

Usage:

make help        # Show all commands
make dev         # Start development
make ci          # Run full CI locally

Step 3: Husky + lint-staged (Git Hooks)

package.json:

{
  "lint-staged": {
    "*.{ts,tsx}": [
      "eslint --fix",
      "prettier --write"
    ],
    "*.{json,md}": [
      "prettier --write"
    ]
  }
}

.husky/pre-commit:

#!/usr/bin/env sh
. "$(dirname -- "$0")/_/husky.sh"

echo "Running pre-commit checks..."

# Lint staged files
npx lint-staged

# Type check
npm run type-check

# Run tests related to changed files
npm test -- --onlyChanged

echo "✅ Pre-commit checks passed!"

Step 4: Task Runner scripts

scripts/dev-setup.sh:

#!/bin/bash
set -e

echo "🚀 Setting up development environment..."

# Check prerequisites
if ! command -v node &> /dev/null; then
    echo "❌ Node.js is not installed"
    exit 1
fi

if ! command -v docker &> /dev/null; then
    echo "❌ Docker is not installed"
    exit 1
fi

# Install dependencies
echo "📦 Installing dependencies..."
npm install

# Copy environment file
if [ ! -f .env ]; then
    echo "📄 Creating .env file..."
    cp .env.example .env
    echo "⚠️ Please update .env with your configuration"
fi

# Start Docker services
echo "🐳 Starting Docker services..."
docker-compose up -d

# Wait for database
echo "⏳ Waiting for database..."
./scripts/wait-for-it.sh localhost:5432 --timeout=30

# Run migrations
echo "🗄️ Running database migrations..."
npm run migrate

# Seed data (optional)
read -p "Seed database with sample data? (y/n) " -n 1 -r
echo
if [[ $REPLY =~ ^[Yy]$ ]]; then
    npm run seed
fi

echo "✅ Development environment ready!"
echo "Run 'make dev' to start the development server"

scripts/deploy.sh:

#!/bin/bash
set -e

ENV=$1

if [ -z "$ENV" ]; then
    echo "Usage: ./deploy.sh [staging|production]"
    exit 1
fi

echo "🚀 Deploying to $ENV..."

# Build
echo "📦 Building application..."
npm run build

# Run tests
echo "🧪 Running tests..."
npm test

# Deploy based on environment
if [ "$ENV" == "production" ]; then
    echo "🌍 Deploying to production..."
    # Production deployment logic
    ssh production "cd /app && git pull && npm install && npm run build && pm2 restart all"
elif [ "$ENV" == "staging" ]; then
    echo "🧪 Deploying to staging..."
    # Staging deployment logic
    ssh staging "cd /app && git pull && npm install && npm run build && pm2 restart all"
fi

echo "✅ Deployment to $ENV completed!"

Step 5: GitHub Actions workflow automation

.github/workflows/ci.yml:

name: CI

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '18'
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Run linter
        run: npm run lint

      - name: Type check
        run: npm run type-check

      - name: Run tests
        run: npm test -- --coverage

      - name: Upload coverage
        uses: codecov/codecov-action@v3

Output format

project/
├── scripts/
│   ├── dev-setup.sh
│   ├── deploy.sh
│   ├── test.sh
│   └── cleanup.sh
├── Makefile
├── package.json
└── .husky/
    ├── pre-commit
    └── pre-push

Constraints

Required rules (MUST)

1. Idempotency: safe to run scripts multiple times
2. Error handling: clear messages on failure
3. Documentation: comments on how to use the scripts

Prohibited items (MUST NOT)

1. Hardcoded secrets: do not include passwords or API keys in scripts
2. Destructive commands: do not run rm -rf without confirmation

Best practices

1. Use Make: platform-agnostic interface
2. Git Hooks: automated quality checks
3. CI/CD: automated with GitHub Actions

References

• npm scripts
• Make Tutorial
• Husky

Metadata

Version

-- Current version: 1.0.0 -- Last updated: 2025-01-01 -- Compatible platforms: Claude, ChatGPT, Gemini

Tags

#automation #scripts #workflow #npm-scripts #Makefile #utilities

Examples

Example 1: Basic usage

Example 2: Advanced usage

Workflow Context

Unity3D 반복 작업을 자동화합니다. unity-mcp: batch_execute와 함께 사용합니다.

• 트리거: JEO Workflow 3 (에셋 파이프라인) EXECUTE 단계
• 연동: workflow-automation + unity-mcp: batch_execute → 10~100x 속도 향상