workflow-automation▌
supercent-io/skills-template · updated Apr 8, 2026
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Automate development tasks with npm scripts, Makefiles, Git hooks, and shell scripts.
- ›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
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-onHow to use workflow-automation on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add workflow-automation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches workflow-automation from GitHub repository supercent-io/skills-template and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate workflow-automation. Access the skill through slash commands (e.g., /workflow-automation) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★39 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
workflow-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Camila Chen· Dec 24, 2024
workflow-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Harris· Dec 12, 2024
Keeps context tight: workflow-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Advait Zhang· Dec 4, 2024
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Advait Anderson· Nov 15, 2024
workflow-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Advait Thomas· Nov 11, 2024
workflow-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Advait Li· Nov 3, 2024
I recommend workflow-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Advait Abbas· Oct 22, 2024
Useful defaults in workflow-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Harper Perez· Oct 6, 2024
We added workflow-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Harper Gonzalez· Oct 2, 2024
Registry listing for workflow-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
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