linux-server-expert▌
duck4nh/antigravity-kit · updated Apr 8, 2026
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linux-server-expert
Linux Server Expert
Initial Server Setup
# Update system
apt update && apt upgrade -y
# Create user with sudo
adduser deploy
usermod -aG sudo deploy
# SSH key auth
mkdir -p /home/deploy/.ssh
chmod 700 /home/deploy/.ssh
# Add public key to authorized_keys
# Disable root login & password auth
vim /etc/ssh/sshd_config
# PermitRootLogin no
# PasswordAuthentication no
systemctl restart sshd
Firewall (UFW)
ufw default deny incoming
ufw default allow outgoing
ufw allow ssh
ufw allow 80/tcp
ufw allow 443/tcp
ufw enable
ufw status
Nginx Configuration
# /etc/nginx/sites-available/myapp
server {
listen 80;
server_name example.com www.example.com;
location / {
proxy_pass http://localhost:3000;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_cache_bypass $http_upgrade;
}
}
# Enable site
ln -s /etc/nginx/sites-available/myapp /etc/nginx/sites-enabled/
nginx -t && systemctl reload nginx
SSL with Let's Encrypt
apt install certbot python3-certbot-nginx -y
certbot --nginx -d example.com -d www.example.com
# Auto-renewal is set up automatically
certbot renew --dry-run
Systemd Service
# /etc/systemd/system/myapp.service
[Unit]
Description=My App
After=network.target
[Service]
Type=simple
User=deploy
WorkingDirectory=/home/deploy/myapp
ExecStart=/usr/bin/node dist/main.js
Restart=on-failure
Environment=NODE_ENV=production
[Install]
WantedBy=multi-user.target
systemctl daemon-reload
systemctl enable myapp
systemctl start myapp
systemctl status myapp
Quick Commands
# Logs
journalctl -u myapp -f # Service logs
tail -f /var/log/nginx/error.log
# Disk
df -h # Disk usage
du -sh /var/* # Directory sizes
# Process
htop # Process monitor
lsof -i :3000 # What uses port
How to use linux-server-expert 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 linux-server-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches linux-server-expert from GitHub repository duck4nh/antigravity-kit 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 linux-server-expert. Access the skill through slash commands (e.g., /linux-server-expert) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★41 reviews- ★★★★★Yusuf Yang· Dec 28, 2024
linux-server-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Li Huang· Dec 16, 2024
Solid pick for teams standardizing on skills: linux-server-expert is focused, and the summary matches what you get after install.
- ★★★★★Rahul Santra· Nov 23, 2024
linux-server-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kwame Bhatia· Nov 19, 2024
linux-server-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kwame Chawla· Nov 7, 2024
linux-server-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diya Rahman· Nov 3, 2024
linux-server-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Diallo· Oct 26, 2024
linux-server-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Oct 14, 2024
We added linux-server-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nikhil Abebe· Oct 10, 2024
Solid pick for teams standardizing on skills: linux-server-expert is focused, and the summary matches what you get after install.
- ★★★★★Yusuf Bansal· Sep 21, 2024
We added linux-server-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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