Performance

Name: Performance
Author: vijaykpatel

Checked

vijaykpatel·vlatest·other·MIT

Analyzes user workflows and suggests performance improvements based on Vijay Patel's expertise and best practices.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add vijpatel7/favorite_skills_and_plugins --skill performance -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vijaykpatel

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 3 Oct 2026

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 vijaykpatel/favorite_skills_and_plugins at a4cb4ff846.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: a4cb4ff846
Manifest: .agents/skills/performance/SKILL.md
Scanned: 1 file, 322 lines

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

This skill, authored by vijaykpatel, provides performance-related capabilities for AI agents. The specific functionality isn't detailed in the provided source but is implied to enhance or analyze agent performance. It’s designed to be a favorite skill and plugin within an AI agent ecosystem.

When to use it

When you need to evaluate how well your AI agent is completing tasks.
To identify bottlenecks or areas for improvement in an agent's workflow.
For optimizing the efficiency of an AI agent’s actions.
During development and testing phases to ensure desired performance levels.

Key capabilities

Performance analysis
Workflow optimization
Task completion evaluation

Example prompts

"Analyze my agent's performance over the last 24 hours."
"Identify bottlenecks in my agent’s process for booking flights."
“How can I improve the speed of my agent's response time?”

Tips & gotchas

The skill's specific implementation details are not available. Success depends on understanding how the skill integrates with your AI agent platform and interpreting its output correctly.