Performance Optimization
CheckedHelps with performance optimization, optimization as part of building frontend UIs and user experiences workflows.
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 dchuk/rails_ai_agents --skill performance-optimization -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
dchuk
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 dchuk/rails_ai_agents at e3f5bd8229.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e3f5bd8229
- Scanned
- 1 file, 278 lines
About this skill
What it does
This skill, authored by dchuk, focuses on performance optimization. It enables AI agents to discover and install skills for improving application performance. The agent can leverage this skill to enhance efficiency and responsiveness in various software projects. This is particularly useful when dealing with complex or resource-intensive applications.
When to use it
- Slow Application: When a web application or service feels sluggish and unresponsive, this skill can help identify bottlenecks.
- High Resource Consumption: If an application consistently uses excessive CPU or memory, the agent can utilize this skill for optimization.
- Performance Testing: During performance testing phases, this skill can be used to analyze results and suggest improvements.
- Code Refactoring: When refactoring code, the agent can apply this skill to ensure that changes don't negatively impact performance.
Key capabilities
- Discovering skills for AI agents
- Installing skills
- Improving application performance
Example prompts
- "Find me a skill to optimize my Rails application’s database queries."
- “Can you install a skill to reduce the load time of this webpage?”
- "Suggest ways to improve the responsiveness of my Node.js server."
Tips & gotchas
This skill requires an understanding of basic performance optimization principles and may necessitate adjustments based on specific application architecture. The agent's effectiveness is dependent on the quality and relevance of available skills for installation.