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windsurf-performance-profiling

Testing & Quality
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Profile and optimize code with AI-assisted analysis. Activate when users mention "performance profiling", "optimize performance", "bottleneck analysis", "profiling", or "performance tuning". Handles performance analysis and optimization. Use when working with windsurf performance profiling functionality. Trigger with phrases like "windsurf performance profiling", "windsurf profiling", "windsurf".

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/Dicklesworthstone/pi_agent_rust/blob/HEAD/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-performance-profiling/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/windsurf-performance-profiling/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Windsurf Performance Profiling

Overview

This skill enables AI-assisted performance profiling within Windsurf. Cascade analyzes profiling data to identify bottlenecks, suggest optimizations, and predict impact of changes. It integrates with language-specific profilers and helps prioritize optimization efforts based on actual performance data rather than assumptions.

Prerequisites

  • Windsurf IDE with Cascade enabled
  • Profiling tools installed (Chrome DevTools, node --prof, py-spy, etc.)
  • Application with performance concerns
  • Baseline metrics established
  • Understanding of performance targets

Instructions

  1. Establish Baseline
  2. Collect Profile Data
  3. Analyze with Cascade
  4. Implement Optimizations
  5. Document and Monitor

See {baseDir}/references/implementation.md for detailed implementation guide.

Output

  • Profiling data and analysis
  • Bottleneck identification reports
  • Optimization recommendations
  • Before/after comparison metrics

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources