Profile application performance, identify bottlenecks, and optimize for speed

Performance profiling principles. Measurement, analysis, and optimization techniques.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Performance profiling principles. Measurement, analysis, and optimization techniques.

Create skills by learning from high-quality GitHub projects

获取 GitHub Trending 前五项目的 README 与摘要，并发送企业微信消息。适用于热门项目跟踪、技术趋势简报与团队分享。

Search GitHub code, repositories, issues, and PRs via MCP

Search GitHub code, repositories, issues, and PRs via MCP

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.

Comprehensive GitHub code review with AI-powered swarm coordination

Comprehensive GitHub code review with AI-powered swarm coordination

自动化 GitHub 操作。当用户需要管理仓库、创建 PR、处理 Issue、自动化 CI/CD 或进行代码审查时使用此技能。

GitHub best practices for pull requests, code reviews, issues, Actions workflows, and repository management

Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.

Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.