Automate development tasks with npm scripts, Makefiles, Git hooks, and shell scripts.
Works with
Covers npm scripts, Makefiles, Husky Git hooks, and custom shell scripts for setup, deployment, and CI/CD workflows
Includes pre-commit automation, linting, testing, and type-checking integrated into development pipelines
Provides GitHub Actions workflow templates for continuous integration across push and pull request events
Emphasizes idempotency, error handling, and security constraints like a
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionworkflow-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches workflow-automation from supercent-io/skills-template and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate workflow-automation. Access via /workflow-automation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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"
}
}
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
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!"
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!"
.github/workflows/ci.yml:
name: CI
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
test:
runs-onMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
supercent-io/skills-template
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
workflow-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
workflow-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: workflow-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
workflow-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
workflow-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend workflow-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in workflow-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added workflow-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
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