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Validating Performance Budgets

Listed
jeremylongshore·vlatest·devops·MIT

Ensures AI model deployments adhere to pre-defined performance budgets (latency, throughput) using automated checks and alerts.

Repository

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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 jeremylongshore/tons-of-skills-marketplace --skill validating-performance-budgets -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

jeremylongshore

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Install target

Live repository

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About this skill

What it does

This skill enables an AI agent (Claude) to automatically validate your application's performance against predefined budgets for metrics like page load times, bundle sizes, and API response times. It analyzes current performance data, compares it to established thresholds, and reports any violations that exceed those budgets. This helps identify regressions and ensures optimal application performance.

When to use it

  • Validate application performance against pre-defined budgets.
  • Identify potential performance regressions in your application.
  • Integrate performance budget validation into a CI/CD pipeline.

Key capabilities

  • Analyzes page load times, bundle sizes, and API response times.
  • Validates metrics against predefined budget thresholds.
  • Reports violations when metrics exceed defined budgets.
  • Provides details on exceeded thresholds in violation reports.

Example prompts

  • "Validate performance budget for the homepage."
  • "Run performance budget validation as part of the build process."
  • "Check all defined performance metrics against their budgets."

Tips & gotchas

  • Budget Definition: Define realistic and achievable performance budgets based on current application performance.
  • Prerequisites: Requires a performance-budgets.json file containing budget definitions, access to performance testing tools (like Lighthouse or WebPageTest), and a build output directory for bundle analysis.
  • Integration: Can be integrated with other plugins that provide performance metrics and alerting services.