from claude-skill-registry361
Guided performance analysis and profiling playbook for identifying bottlenecks and optimizing code, scripts, and systems across Python, Node.js, shell, and infr
Provides a practical performance-analysis and optimization playbook: how to profile applications, identify hot paths and I/O issues, apply targeted algorithmic or I/O optimizations, and verify improvements with benchmarks. Covers tooling and examples for Python, Node.js, shell scripts, system-level tracing, database queries, caching, parallelism, and web performance.
Use this skill when an application or script is slower or more resource-hungry than expected, when you need to reduce latency or memory/CPU usage, or before making changes that could affect production performance. It's intended for developers and SREs needing a structured profiling → optimize → verify workflow.
This is authoring-agnostic guidance suitable for Claude Code, Copilot-style agents, or any LLM assistant with terminal or code-review capabilities. It is primarily a procedural/knowledge skill rather than an executable integration.
Performance Optimizer is a documentation-only skill providing guidelines for identifying performance bottlenecks and designing optimizations across backend, database, caching, and frontend Core Web Vitals. The SKILL.md is well-organized with clear sections, principles, and priority framework, but lacks actionable scripts or concrete workflows. It reads more as a reference checklist than an executable skill.
Clean skill with no security concerns. Main limitation is that it's purely documentary with no scripts, tooling, or actionable automation. The content is sound but shallow — could benefit from concrete profiling commands, analysis scripts, or integration with monitoring tools.
