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Backend Latency Profiler Helper

Checked
patricio0312rev·vlatest·testing·MIT

Analyzes backend latency data, identifies bottlenecks, and suggests optimization strategies for improved application performance.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add patricio0312rev/skills --skill backend-latency-profiler-helper -a claude-code

  2. 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

patricio0312rev

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

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 patricio0312rev/skills at 79ea6af485.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79ea6af485
Manifest
performance/backend-latency-profiler-helper/SKILL.md
Scanned
1 file, 101 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

The backend-latency-profiler-helper skill assists AI agents in analyzing and optimizing the performance of backend systems. It provides tools to identify bottlenecks, measure response times, and generate actionable reports for improving application speed and reliability.

When to use it

  • Diagnosing slow API endpoints or database queries during production incidents.
  • Evaluating the impact of recent code changes on system throughput.
  • Generating baseline performance metrics for new microservices before scaling.
  • Comparing latency across different server environments or cloud regions.

Key capabilities

  • Automated collection of latency data from distributed backend services.
  • Visualization of request timelines and resource utilization spikes.
  • Identification of specific functions or database calls causing delays.
  • Exportable reports detailing performance trends over time.

Example prompts

  • "Analyze the last hour of logs to find which API endpoint has the highest average latency."
  • "Generate a report comparing response times between the staging and production environments."
  • "Identify any database queries that are taking longer than 500ms and suggest optimizations."

Tips & gotchas

Ensure your backend services have proper logging and tracing enabled before running this skill to guarantee accurate data collection. This tool focuses on latency metrics; it may not provide deep insights into business logic errors unrelated to performance.