performance-tuning
Optimizes the performance of Linux systems. It adjusts settings and resources to make the system run faster and more efficiently.
What it does
This feature helps make your Linux computer faster. It adjusts internal system settings so it works better, especially when it's overloaded.
When to use it
- ✓Your Linux computer is slow or freezing.
- ✓You need your server to handle many users at the same time.
- ✓You want to test how fast your system can perform.
Example of what to ask your AI
“Make my web server faster to handle more visitors.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It analyzes what's slowing down your system (CPU, memory, disk, or network) and changes some internal settings (called 'kernel parameters') to optimize the use of these resources.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill performance-tuningOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/performance-tuning/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Performance Tuning
Optimize Linux system performance through kernel parameter tuning, I/O scheduler selection, memory management, CPU governor configuration, and benchmarking. Covers methodology, real sysctl settings, and tool-based validation.
When to Use
- Server experiencing high latency, throughput bottlenecks, or resource exhaustion
- Preparing infrastructure for high-traffic events or load tests
- Tuning a database server, web server, or application host for production
- Diagnosing whether a bottleneck is CPU, memory, disk I/O, or network
- Establishing baseline performance metrics before and after changes
- Configuring kernel parameters for containers, VMs, or bare-metal hosts
Prerequisites
- Root or sudo access on the target system
sysstatpackage installed (providessar,iostat,mpstat)linux-toolsorperfpackage for CPU profiling- Benchmarking tools:
fio(disk),sysbench(CPU/memory),iperf3(network) - Baseline metrics collected before making any changes
Performance Analysis Methodology
Always follow this order:
- Collect baseline -- measure current performance with tools
- Identify bottleneck -- determine if CPU, memory, I/O, or network
- Change one parameter -- apply a single tuning change
- Measure impact -- re-run the same benchmark
- Document -- record the change and its effect
- Iterate or revert -- keep the change if beneficial, revert if not
System Monitoring Tools
# CPU and process monitoring
top # Interactive process viewer
htop # Enhanced interactive viewer
mpstat -P ALL 2 # Per-CPU utilization every 2 seconds
pidstat -u 2 # Per-process CPU usage
# Memory monitoring
free -h # Memory summary
vmstat 2 # Virtual memory stats every 2 seconds
# Columns: r=runnable, b=blocked, si/so=swap in/out, bi/bo=block I/O
# Disk I/O monitoring
iostat -xz 2 # Extended disk stats every 2 seconds
# Key columns: %util, await (latency), r/s, w/s
iotop -oP # Show processes doing I/O
# Network monitoring
sar -n DEV 2 # Network interface stats
ss -s # Socket summary
nstat # Network counters
# CPU profiling (requires perf)
perf top # Real-time function-level CPU profiling
perf stat -a sleep 10 # System-wide counters for 10 seconds
perf record -g -a sleep 30 # Record 30 seconds of call stacks
perf report # Analyze recorded data
# One-liner: check all major resources
echo "=== CPU ===" && mpstat 1 1 && echo "=== MEM ===" && free -h && echo "=== DISK ===" && iostat -x 1 1 && echo "=== NET ===" && ss -s
Sysctl Kernel Parameter Tuning
Network Tuning
# /etc/sysctl.d/60-network-performance.conf
# Increase the maximum socket receive/send buffer sizes
net.core.rmem_max = 134217728
net.core.wmem_max = 134217728
net.core.rmem_default = 1048576
net.core.wmem_default = 1048576
# TCP buffer auto-tuning (min, default, max in bytes)
net.ipv4.tcp_rmem = 4096 1048576 134217728
net.ipv4.tcp_wmem = 4096 1048576 134217728
# Increase connection backlog for high-traffic servers
net.core.somaxconn = 65535
net.ipv4.tcp_max_syn_backlog = 65535
net.core.netdev_max_backlog = 65535
# Enable TCP fast open (client and server)
net.ipv4.tcp_fastopen = 3
# Reuse TIME_WAIT sockets for new connections
net.ipv4.tcp_tw_reuse = 1
# Increase the range of ephemeral ports
net.ipv4.ip_local_port_range = 1024 65535
# TCP keepalive tuning (detect dead connections faster)
net.ipv4.tcp_keepalive_time = 120
net.ipv4.tcp_keepalive_intvl = 30
net.ipv4.tcp_keepalive_probes = 3
# Disable slow start after idle (keeps congestion window open)
net.ipv4.tcp_slow_start_after_idle = 0
# Enable BBR congestion control (requires kernel 4.9+)
net.core.default_qdisc = fq
net.ipv4.tcp_congestion_control = bbr
Memory Tuning
# /etc/sysctl.d/60-memory-performance.conf
# Reduce swappiness (0-100, lower = less swap usage)
# 10 for general servers, 1 for database servers
vm.swappiness = 10
# Dirty page ratios (controls when dirty data is flushed to disk)
# Lower values = more frequent, smaller writes (better for SSDs)
vm.dirty_ratio = 20
vm.dirty_background_ratio = 5
# For large-memory systems writing to fast storage
…
FAQ
Do I need to be a Linux expert to use this?
No, but it's recommended to have administrator access (root or sudo) and follow the instructions carefully, as changing the wrong settings can worsen performance.
What tools are used?
Tools like `top`, `htop`, `iostat`, `vmstat`, `perf`, among others, are used to measure performance and apply changes.
How do I know if the changes worked?
You should measure performance before and after each change using the testing and analysis tools to see if there was improvement.
Details
Original description by the author
Optimize Linux system performance. Configure kernel parameters, analyze bottlenecks, and tune resources. Use when improving system performance.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3820
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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