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Performance Testing

Listed
adaptationio·vlatest·testing

Helps with performance optimization, testing as part of testing, debugging, and quality assurance workflows.

Install on your platform

This skill no longer installs under the name performance-testing. adaptationio/skrillz is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

adaptationio

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.

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scanned

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Not scanned. repository not found or private Source recorded as adaptationio/skrillz.
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About this skill

What it does

This skill, adaptationio-performance-testing, allows AI agents to execute and analyze performance tests. It can simulate user load on web applications or APIs, measure response times, and identify bottlenecks. The results are presented in a structured format that facilitates debugging and optimization efforts.

When to use it

  • Website Load Testing: Before launching a new website version or feature, assess its ability to handle anticipated traffic.
  • API Stress Testing: Determine the maximum load an API can sustain before performance degrades unacceptably.
  • Database Performance Analysis: Identify slow queries and optimize database configurations for improved responsiveness.
  • Troubleshooting Slow Applications: Pinpoint specific areas of a web application or API that are contributing to poor user experience.

Key capabilities

  • Simulates user load on web applications/APIs
  • Measures response times
  • Identifies performance bottlenecks
  • Provides structured test results

Example prompts

  • "Run a load test on https://www.example.com with 100 concurrent users for 60 seconds."
  • "Stress test the /api/v1/products endpoint and report average response time."
  • “Analyze performance of my website, focusing on image loading times.”

Tips & gotchas

The skill requires a clear URL or API endpoint to target. Ensure the AI agent has appropriate network access to execute the tests effectively.