Configuring Horizon
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
Optimize Linux system performance. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills performance-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performance-tuning .claude/skills/performance-tuning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .claude/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills performance-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performance-tuning .agents/skills/performance-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .agents/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills performance-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performance-tuning .cursor/skills/performance-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .cursor/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/performance-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills performance-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performance-tuning .gemini/skills/performance-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .gemini/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills performance-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performance-tuning .github/skills/performance-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .github/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills performance-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performance-tuning .opencode/skills/performance-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performance-tuning" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/performance-tuning into .opencode/skills/performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performance-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performance-tuningOptimize Linux system performance. An agent skill from sickn33/agentic-awesome-skills.
Performance Tuning is an agent skill from sickn33/agentic-awesome-skills. Optimize Linux system performance. Configure kernel parameters, analyze bottlenecks, and tune resources. Use when improving system performance.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It works with Linux. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
aptdnfFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
Performance Tuning loads about 3.2k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 400 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- Root or sudo access on the target systemAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 400 words, ~3,201 tokens.
.claude/skills/performance-tuning/SKILL.md (or your agent's skills folder).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.
sysstat package installed (provides sar, iostat, mpstat)linux-tools or perf package for CPU profilingfio (disk), sysbench (CPU/memory), iperf3 (network)Always follow this order:
# 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# /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# /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
# vm.dirty_ratio = 40
# vm.dirty_background_ratio = 10
# Increase inotify limits (for apps watching many files)
fs.inotify.max_user_watches = 524288
fs.inotify.max_user_instances = 1024
# Maximum number of open file descriptors system-wide
fs.file-max = 2097152
# Virtual memory overcommit
# 0 = heuristic (default), 1 = always overcommit, 2 = never overcommit
vm.overcommit_memory = 0
# For Redis or similar in-memory stores, use:
# vm.overcommit_memory = 1
# Disable Transparent Huge Pages if it causes latency spikes (common with databases)
# Done via boot parameter or runtime:
# echo madvise > /sys/kernel/mm/transparent_hugepage/enabled# Apply all sysctl files
sysctl --system
# Apply a specific file
sysctl -p /etc/sysctl.d/60-network-performance.conf
# Set a parameter temporarily (lost on reboot)
sysctl -w vm.swappiness=10
# Verify a parameter
sysctl vm.swappiness
sysctl net.ipv4.tcp_congestion_control# Check the current scheduler for a device
cat /sys/block/sda/queue/scheduler
# Output example: [mq-deadline] none kyber bfq
# Set the scheduler temporarily
echo mq-deadline > /sys/block/sda/queue/scheduler # Good for databases
echo none > /sys/block/nvme0n1/queue/scheduler # Best for NVMe SSDs
echo bfq > /sys/block/sda/queue/scheduler # Good for interactive desktop
# Scheduler recommendations:
# NVMe SSD: none (noop) -- minimal overhead, hardware handles scheduling
# SATA SSD: mq-deadline -- provides fairness with low latency
# HDD: mq-deadline -- prevents starvation, good for databases
# Desktop: bfq -- prioritizes interactive I/O
# Make persistent via udev rule
cat <<'EOF' > /etc/udev/rules.d/60-io-scheduler.rules
# Set mq-deadline for rotational (HDD) devices
ACTION=="add|change", KERNEL=="sd[a-z]", ATTR{queue/rotational}=="1", ATTR{queue/scheduler}="mq-deadline"
# Set none for non-rotational (SSD/NVMe) devices
ACTION=="add|change", KERNEL=="sd[a-z]", ATTR{queue/rotational}=="0", ATTR{queue/scheduler}="none"
ACTION=="add|change", KERNEL=="nvme[0-9]*", ATTR{queue/scheduler}="none"
EOF
udevadm control --reload-rules
# Tune read-ahead for sequential workloads (database sequential scans)
blockdev --setrahead 4096 /dev/sda # 4096 sectors = 2 MB
# Enable TRIM for SSDs (weekly via systemd timer)
systemctl enable --now fstrim.timer
fstrim -av # Manual run# Check available governors
cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_available_governors
# Output: performance powersave schedutil
# Check current governor
cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor
# Set all CPUs to performance mode (maximum frequency)
for cpu in /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor; do
echo performance > "$cpu"
done
# Set using cpupower (if installed)
cpupower frequency-set -g performance
# Governor recommendations:
# Server (production): performance -- max frequency, lowest latency
# Server (general): schedutil -- kernel-driven dynamic scaling
# Laptop / idle server: powersave -- minimize power consumption
# Make persistent via systemd service
cat <<'EOF' > /etc/systemd/system/cpu-governor.service
[Unit]
Description=Set CPU governor to performance
[Service]
Type=oneshot
ExecStart=/usr/bin/cpupower frequency-set -g performance
RemainAfterExit=yes
[Install]
WantedBy=multi-user.target
EOF
systemctl enable --now cpu-governor
# Disable CPU boost (turbo) if consistent latency is needed
echo 1 > /sys/devices/system/cpu/intel_pstate/no_turbo# Install fio
apt install -y fio # Debian/Ubuntu
dnf install -y fio # RHEL/CentOS
# Sequential read test (simulates backup reads)
fio --name=seq-read --ioengine=libaio --direct=1 --rw=read \
--bs=1M --numjobs=4 --size=1G --runtime=60 --time_based --group_reporting
# Sequential write test
fio --name=seq-write --ioengine=libaio --direct=1 --rw=write \
--bs=1M --numjobs=4 --size=1G --runtime=60 --time_based --group_reporting
# Random read (4K blocks -- simulates database IOPS)
fio --name=rand-read --ioengine=libaio --direct=1 --rw=randread \
--bs=4k --numjobs=16 --iodepth=64 --size=1G --runtime=60 --time_based --group_reporting
# Random write (4K blocks)
fio --name=rand-write --ioengine=libaio --direct=1 --rw=randwrite \
--bs=4k --numjobs=16 --iodepth=64 --size=1G --runtime=60 --time_based --group_reporting
# Mixed random read/write (70/30 -- typical database workload)
fio --name=mixed --ioengine=libaio --direct=1 --rw=randrw --rwmixread=70 \
--bs=4k --numjobs=8 --iodepth=32 --size=1G --runtime=60 --time_based --group_reporting# Install: apt install -y sysbench (Debian) / dnf install -y sysbench (RHEL)
# CPU benchmark
sysbench cpu --threads=4 --time=30 run
# Memory benchmark
sysbench memory --threads=4 --time=30 --memory-block-size=1K --memory-total-size=100G run# Install iperf3
apt install -y iperf3
# Start server on one host
iperf3 -s
# Run client test from another host
iperf3 -c <server-ip> -t 30 -P 4 # 30 seconds, 4 parallel streams
# Test with UDP (measure packet loss)
iperf3 -c <server-ip> -u -b 1G -t 30
# Reverse mode (server sends to client)
iperf3 -c <server-ip> -R -t 30# /etc/sysctl.d/60-webserver.conf
net.core.somaxconn = 65535
net.ipv4.tcp_max_syn_backlog = 65535
net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_fastopen = 3
net.ipv4.ip_local_port_range = 1024 65535
net.core.default_qdisc = fq
net.ipv4.tcp_congestion_control = bbr
fs.file-max = 2097152
vm.swappiness = 10# /etc/sysctl.d/60-database.conf
vm.swappiness = 1
vm.dirty_ratio = 15
vm.dirty_background_ratio = 3
vm.overcommit_memory = 2
vm.overcommit_ratio = 80
net.core.somaxconn = 4096
fs.file-max = 2097152
# Disable THP for databases
# echo never > /sys/kernel/mm/transparent_hugepage/enabled| Symptom | Diagnostic Command | Common Fix |
|---|---|---|
| High CPU, no obvious process | perf top, mpstat -P ALL 2 | Check for kernel-level issues: softirqs, interrupts |
| High load avg, low CPU usage | vmstat 2 (check b column) | I/O bottleneck: tune scheduler, check disk health |
| System swapping heavily | free -h, vmstat 2 (check si/so) | Reduce vm.swappiness, add RAM, find memory leak |
| Disk latency spikes | iostat -x 2 (check await) | Switch I/O scheduler, reduce dirty ratio, add SSD |
| "Too many open files" error | cat /proc/sys/fs/file-nr | Increase fs.file-max and LimitNOFILE |
| Network throughput low | iperf3 -c <server>, ethtool | Increase buffer sizes, enable BBR, check MTU |
| Application timeout under load | ss -s, sysctl net.core.somaxconn | Increase somaxconn and tcp_max_syn_backlog |
| Inconsistent latency | Check CPU governor | Set governor to performance, disable turbo boost |
linux-administration -- General system monitoring and managementsystemd-services -- Resource limits via cgroups in unit filesblock-storage -- Storage-level performance (LVM, RAID, filesystems)nfs-storage -- NFS-specific performance tuning© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/performance-tuning of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performance Tuning this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Configuring Horizoncoollabsio/coolify | 63k | 4 repos | ~898 | Automated safety check: Pass | MIT | |
| Engine Whats Newflutter/flutter | 179k | — | ~978 | Automated safety check: Pass | BSD-3-Clause | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Upgrade Browserflutter/flutter | 179k | — | ~1.1k | Automated safety check: Pass | BSD-3-Clause | |
| K8s Security PoliciesCybereason-Public/owLSM | 280 | 12 repos | ~2k | Automated safety check: Pass | GPL-2.0 |
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
flutter/flutter
Generates the "what's new" release summary and diff file for changes in the Flutter engine (//engine/src/flutter) between two releases (e.g., 3.47 vs 3.44).
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
flutter/flutter
Upgrade browser versions (Chrome or Firefox) in the Flutter Web Engine and/or Framework tests.
Cybereason-Public/owLSM
Comprehensive guide for implementing NetworkPolicy, PodSecurityPolicy, RBAC, and Pod Security Standards in Kubernetes.
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Works with
Optimize Linux system performance. An agent skill from sickn33/agentic-awesome-skills. Performance Tuning is an agent skill from sickn33/agentic-awesome-skills. Optimize Linux system performance.
Performance Tuning fits situations like: improving system performance.
Run `npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a claude-code`. Or copy the skill folder (skills/performance-tuning in sickn33/agentic-awesome-skills) into .claude/skills/performance-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a codex`. Or copy the skill folder (skills/performance-tuning in sickn33/agentic-awesome-skills) into .agents/skills/performance-tuning in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performance-tuning, .gemini/skills/performance-tuning, .github/skills/performance-tuning and .opencode/skills/performance-tuning in your project.
Going by SKILL.md and its folder, Performance Tuning needs the command-line tools its instructions call (apt and dnf). Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Performance Tuning: Configuring Horizon (coollabsio/coolify, 63k stars), Engine Whats New (flutter/flutter, 179k stars), Openclaw Live Updater (openclaw/openclaw, 392k stars) and Upgrade Browser (flutter/flutter, 179k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.