Agent V3 Performance Engineer
CheckedOptimizes infrastructure performance and resource utilization using data-driven insights and automated remediation strategies.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add ruvnet/ruflo --skill agent-v3-performance-engineer --full-depth -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
ruvnet
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned ruvnet/ruflo at b636802d8c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b636802d8c
- Scanned
- 1 file, 382 lines
About this skill
What it does
The ruvnet-agent-v3-performance-engineer skill allows AI agents to analyze and optimize system performance. It can identify bottlenecks, suggest improvements for resource utilization, and provide insights into application behavior under load. This skill is designed to improve the efficiency and responsiveness of applications and infrastructure.
When to use it
- Troubleshooting slow applications: Use this skill when users report sluggishness or long processing times in an application.
- Capacity planning: Employ the skill to predict future resource needs based on current usage patterns and projected growth.
- Optimizing cloud infrastructure: Leverage its capabilities to fine-tune virtual machine sizes, container configurations, and other cloud resources for cost efficiency.
- Performance testing analysis: Analyze results from performance tests to pinpoint areas needing improvement before production deployment.
Key capabilities
- Bottleneck identification
- Resource utilization optimization suggestions
- Application behavior under load insights
- Performance test result analysis
Example prompts
- "Analyze the CPU usage of my web server and suggest optimizations."
- "Identify any bottlenecks in this database query execution plan."
- "Based on these performance test results, what are the top three areas I should focus on improving?"
Tips & gotchas
This skill requires access to system metrics and logs. Ensure the agent has appropriate permissions to gather necessary data for accurate analysis.