Logging 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 wojons/skills --skill logging-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
wojons
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 wojons/skills at 5fe7152c66.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5fe7152c66
- Scanned
- 4 files, 1,408 lines
About this skill
What it does
This skill helps AI agents analyze and optimize frontend performance through detailed logging. It allows for identifying bottlenecks, tracking resource usage, and pinpointing areas where code can be improved to enhance application speed and responsiveness. The agent can then suggest or automatically implement changes based on these insights.
When to use it
- Slow page load times: Use this skill when users report slow loading speeds or the team observes high latency metrics.
- High resource consumption: If your frontend application is consuming excessive CPU or memory, this skill can help identify the culprit code blocks.
- Debugging performance issues: When encountering unexpected slowdowns or errors, leverage logging to trace execution and isolate problematic areas.
- Performance regression testing: Integrate this skill into automated tests to detect performance degradation after code changes.
Key capabilities
- Detailed logging of frontend resource usage
- Bottleneck identification through timing analysis
- Code optimization suggestions based on logged data
- Automated implementation of performance improvements (potentially)
Example prompts
- "Analyze the frontend's performance and identify any bottlenecks."
- "Log all network requests and their durations for this page load."
- "Suggest optimizations to reduce CPU usage in the rendering process."
Tips & gotchas
This skill requires appropriate permissions to access and analyze application logs. Be mindful of privacy concerns when logging user-specific data, ensuring compliance with relevant regulations.