SkillsAdd

smithery/jeremylongshore

windsurf-performance-profiling

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". '

Installation

$ npx skills add smithery/jeremylongshore --skill windsurf-performance-profiling
View on skills.sh ↗ Website ↗

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npx skills add smithery/jeremylongshore
zustand-store-creator 0 zapier-integration-helper 0 yaml-config-validator 0 xss-vulnerability-scanner 0 windsurf-webhooks-events 0 windsurf-upgrade-migration 0 windsurf-theme-customization 0 windsurf-test-generation 0 windsurf-terminal-ai 0 windsurf-team-settings 0

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
CompatibilityDesigned for Claude Code
Allowed toolsRead,Write,Edit,Bash(cmd:*),Grep
Declared agents claude-code windsurf

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,973 B
  • docs SUMMARY.md 439 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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 ${CLAUDESKILLDIR}/references/implementation.md for detailed implementation guide.

Output

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

Error Handling

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

Examples

See ${CLAUDESKILLDIR}/references/examples.md for detailed examples.

Resources