Perf Expert
CheckedThe Perf Expert skill analyzes code for performance bottlenecks, suggesting optimizations to improve speed and efficiency – a vital tool for developers.
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 hardikpandya/perf-analyzer --skill perf-expert -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
hardikpandya
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 hardikpandya/perf-analyzer at 2001d1de9d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2001d1de9d
- Manifest
- SKILL.md
- Scanned
- 7 files, 797 lines
About this skill
What it does
The perf-expert skill provides performance analysis and optimization recommendations. It can analyze code snippets or system configurations to identify bottlenecks and suggest improvements. This includes identifying inefficient algorithms, suggesting better data structures, and recommending hardware upgrades based on workload characteristics.
When to use it
- Debugging slow applications: Use it to pinpoint the cause of performance issues in existing software.
- Optimizing code for efficiency: Get suggestions for improving the speed and resource usage of new or modified code.
- Planning hardware upgrades: Determine if a system needs more RAM, faster storage, or a better processor based on its current workload.
- Analyzing database queries: Identify slow-running queries and receive recommendations for optimization.
Key capabilities
- Performance bottleneck identification
- Algorithm efficiency analysis
- Data structure suggestions
- Hardware upgrade recommendations
Example prompts
- "Analyze this Python code snippet for performance bottlenecks: [code snippet]"
- "Suggest ways to optimize a database query that takes 10 seconds to run."
- "My application is using 95% of my CPU. What hardware upgrades would you recommend?"
Tips & gotchas
The skill's effectiveness depends on the quality and completeness of the input provided. Providing context about the environment (programming language, database type, hardware specifications) will yield more accurate results.