It infrastructure sysadmin engine
Skill onfire7777/universal-ai-skills-library/skills/it-infrastructure-sysadmin-engine
Comprehensive IT infrastructure, system administration, networking, troubleshooting, Active Directory, DNS, DHCP, virtualization, cloud infrastructure, and IT automation expertise.From its SKILL.md
npx -y skills add onfire7777/universal-ai-skills-library --skill it-infrastructure-sysadmin-engineAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 14 stars14 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Unspecified. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
7.0 KB, ~1.7k tokens by cl100k_base, as published. Nobody here has run it
IT Infrastructure & Sysadmin Engine
Purpose
Provide expert-level IT infrastructure knowledge covering networking, system administration, troubleshooting methodologies, and cloud/on-premises infrastructure management.
Networking Fundamentals
OSI Model (Troubleshooting Layer by Layer)
| Layer | Name | Protocols | Troubleshooting |
|---|---|---|---|
| 7 | Application | HTTP, DNS, SMTP, FTP | Check app logs, API responses |
| 6 | Presentation | SSL/TLS, JPEG, ASCII | Check certificates, encoding |
| 5 | Session | NetBIOS, RPC, PPTP | Check session state, auth |
| 4 | Transport | TCP, UDP | Check ports, firewalls, netstat |
| 3 | Network | IP, ICMP, OSPF, BGP | Check routing, ping, traceroute |
| 2 | Data Link | Ethernet, ARP, VLAN | Check switches, MAC tables, arp |
| 1 | Physical | Cables, WiFi, Fiber | Check cables, link lights, signal |
DNS Deep Dive
- Record Types: A (IPv4), AAAA (IPv6), CNAME (alias), MX (mail), TXT (verification/SPF/DKIM), NS (nameserver), SOA (authority), SRV (service), PTR (reverse)
- Resolution Flow: Client cache → Local DNS → Root → TLD → Authoritative
- Troubleshooting:
nslookup,dig,host, check TTL, check propagation - Common Issues: Stale cache, misconfigured records, TTL too high/low, DNSSEC validation failures
DHCP
- DORA Process: Discover → Offer → Request → Acknowledge
- Scope Management: Address pools, reservations, exclusions, lease duration
- Troubleshooting: Check scope exhaustion, relay agents, lease conflicts,
ipconfig /release && ipconfig /renew
Subnetting Quick Reference
| CIDR | Subnet Mask | Hosts | Use Case |
|---|---|---|---|
| /32 | 255.255.255.255 | 1 | Host route |
| /30 | 255.255.255.252 | 2 | Point-to-point |
| /28 | 255.255.255.240 | 14 | Small segment |
| /24 | 255.255.255.0 | 254 | Standard LAN |
| /16 | 255.255.0.0 | 65,534 | Large network |
System Administration
Windows Server
- Active Directory: Domain controllers, OUs, GPOs, FSMO roles, replication, trusts
- Group Policy: Computer vs User config, precedence (Local → Site → Domain → OU),
gpupdate /force,gpresult /r - File Services: NTFS permissions, share permissions, DFS, quotas
- Certificate Services: PKI, CA hierarchy, certificate templates, auto-enrollment
- Hyper-V: Virtual switches, checkpoints, live migration, replication
Linux Server
- Package Management: apt (Debian/Ubuntu), yum/dnf (RHEL/CentOS), pacman (Arch)
- Service Management:
systemctl start/stop/enable/status service - User Management:
useradd,usermod,passwd,/etc/passwd,/etc/shadow,sudo - Cron Jobs:
crontab -e, format:min hour dom month dow command - Log Management:
/var/log/,journalctl,logrotate, syslog/rsyslog - Performance:
top/htop,vmstat,iostat,sar,free -h,df -h
Troubleshooting Methodology
The 7-Step IT Troubleshooting Framework
- Identify the Problem: What exactly is broken? Who is affected? When did it start? What changed?
- Establish a Theory: Based on symptoms, what are the most likely causes? (Start with the simplest)
- Test the Theory: Can you reproduce? Does the evidence support your theory?
- Establish a Plan: What's the fix? What's the rollback plan? Who needs to be notified?
- Implement the Fix: Apply the change, monitor for side effects
- Verify Full Functionality: Test the fix AND test that nothing else broke
- Document: Root cause, fix applied, prevention measures
The "5 Whys" for Root Cause Analysis
- Problem: Website is down
- Why? The web server crashed
- Why? It ran out of memory
- Why? A memory leak in the application
- Why? An unclosed database connection in a loop
- Why? No connection pooling was implemented
- Root Cause: Missing connection pooling → Fix: Implement connection pooling
Cloud Infrastructure
AWS Core Services
| Category | Service | Purpose |
|---|---|---|
| Compute | EC2, Lambda, ECS, EKS | Run applications |
| Storage | S3, EBS, EFS, Glacier | Store data |
| Database | RDS, DynamoDB, ElastiCache | Manage data |
| Networking | VPC, Route 53, CloudFront, ELB | Connect and deliver |
| Security | IAM, KMS, WAF, GuardDuty | Protect resources |
| Monitoring | CloudWatch, CloudTrail, X-Ray | Observe and audit |
Azure Equivalent Services
| AWS | Azure | Purpose |
|---|---|---|
| EC2 | Virtual Machines | Compute |
| S3 | Blob Storage | Object storage |
| RDS | Azure SQL | Managed database |
| VPC | Virtual Network | Networking |
| IAM | Azure AD / Entra ID | Identity |
| Lambda | Azure Functions | Serverless |
| CloudWatch | Azure Monitor | Monitoring |
Infrastructure as Code
- Terraform: Multi-cloud, declarative, state management, modules
- CloudFormation: AWS-native, JSON/YAML templates
- Ansible: Agentless, SSH-based, playbooks for configuration management
- Pulumi: Infrastructure as real code (TypeScript, Python, Go)
Virtualization & Containers
Virtualization
- Type 1 Hypervisors: VMware ESXi, Hyper-V, KVM (bare metal)
- Type 2 Hypervisors: VirtualBox, VMware Workstation (hosted)
- Key Concepts: vCPU allocation, memory ballooning, thin provisioning, snapshots, live migration
Containers (Docker/Kubernetes)
- Docker: Images, containers, Dockerfile, docker-compose, volumes, networks
- Kubernetes: Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, PVCs
- Best Practices: Multi-stage builds, non-root users, health checks, resource limits, image scanning
Monitoring & Alerting
The 4 Golden Signals (Google SRE)
- Latency: How long requests take (track p50, p95, p99)
- Traffic: How much demand (requests/sec, concurrent users)
- Errors: Rate of failed requests (5xx, timeouts, exceptions)
- Saturation: How full is the system (CPU, memory, disk, connections)
Monitoring Stack Options
- Metrics: Prometheus + Grafana, Datadog, CloudWatch
- Logs: ELK Stack (Elasticsearch, Logstash, Kibana), Loki, Splunk
- Traces: Jaeger, Zipkin, AWS X-Ray, Datadog APM
- Alerting: PagerDuty, OpsGenie, Prometheus Alertmanager
Backup & Disaster Recovery
3-2-1 Backup Rule
- 3 copies of data
- 2 different storage media
- 1 offsite/cloud copy
Recovery Objectives
- RPO (Recovery Point Objective): How much data loss is acceptable?
- RTO (Recovery Time Objective): How quickly must service be restored?
- Design backup frequency and DR strategy around these objectives
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.