Profile and optimize application performance. Use when diagnosing slow code, measuring CPU/memory usage, generating flame graphs, benchmarking functions, load testing APIs, finding memory leaks, or optimizing database queries.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install perf-profilerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install perf-profilerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/perf-profiler/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Performance Profiler can do for your AI workflow
Profile and optimize directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,965+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Performance Profiler
Help me get started with Performance Profiler
Explains what Performance Profiler does, walks through the setup, and runs a quick demo based on your current project
Use Performance Profiler to profile and optimize application performance
Invokes Performance Profiler with the right parameters and returns the result directly in the conversation
What can I do with Performance Profiler in my developer & devops workflow?
Lists the top use cases for Performance Profiler, with example commands for each scenario
Guides & tutorials for AI skills
Performance Profiler extends your AI assistant with the ability to profile and optimize application performance. Use when diagnosing slow code, measuring CPU/memory usage, generating flame graphs, benchmarking functions, load testing APIs, finding memory leaks, or optimizing database queries. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Performance Profiler as its underlying capability.
Performance Profiler works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Performance Profiler once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Performance Profiler takes about two minutes. Place the skill at `~/.claude/skills/perf-profiler/` (personal, all projects) or `.claude/skills/perf-profiler/` (project-specific), then restart your AI client. From that point, typing `/perf-profiler` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Performance Profiler has been installed 2,965 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/perf-profiler/ for personal use (all projects), or .claude/skills/perf-profiler/ for project-specific use. Restart your AI client, then invoke with /perf-profiler or let the AI discover it automatically.
Performance Profiler supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Performance Profiler is free to install. Check the repository for licensing information.
Profile and optimize application performance. Use when diagnosing slow code, measuring CPU/memory usage, generating flame graphs, benchmarking functions, load testing APIs, finding memory leaks, or optimizing database queries.
Automate my developer & devops tasks using Performance Profiler
Identifies repetitive steps in your workflow and sets up Performance Profiler to handle them automatically
MCP vs traditional plugins: what's the difference?
Performance Profiler is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.