---
name: windsurf-performance-profiling-f320dd3bfcdc
description: '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".

  '
allowed-tools: Read,Write,Edit,Bash(cmd:*),Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- skill-databases
- performance
compatibility: Designed for Claude Code
---
# 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.

## 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 [`references/implementation.md`](references/implementation.md) for detailed implementation guide.

## Output

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

## Error Handling

See [`references/errors.md`](references/errors.md) for comprehensive error handling.

## Examples

See [`references/examples.md`](references/examples.md) for detailed examples.

## Resources

- [Windsurf Performance Guide](https://docs.windsurf.ai/features/performance)
- [Profiling Best Practices](https://docs.windsurf.ai/guides/profiling)
- [Optimization Patterns](https://docs.windsurf.ai/guides/optimization)


---
Source attribution: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-performance-profiling/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: jeremylongshore
Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-performance-profiling/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, DevOps / SRE, Frontend Developer, QA / Test Engineer
Specialties: Database, Word Documents, Frontend
Tools: Chrome Devtools, Node, Py Spy
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 451f0f97d6510a65015e9242bd28d877b32ea6d28797f7a2295c436e082c535f