22 tagged performance analysis, measured the same way as everything else here.
Browse within: profiling 14python 14公众号 9performance 7performance-metrics 6snippets 6webperf 6webperformance 6distributed 5triage 5
Skill Claude CodeCodex
Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results. Includes workflows for LCP deep dive (5 phases), CLS investigation (loading vs interaction), INP debugging (latency breakdown…
Skill Claude CodeCodex
Intelligent interaction performance analysis with automated workflows for INP debugging, scroll jank investigation, and main thread blocking. Includes decision trees that automatically run script attribution when long frames detected, break down input latency phases, and correlate layout shifts with interactions.…
Skill Claude CodeCodex
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze…
elvismdev/claude-wordpress-skills
Skill Claude CodeCodex
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WPQuery, analyzing caching strategies, checking code before launch, or detecting anti-patterns, or when user mentions "performance review"…
Skill Claude CodeCodex
Job-level health: cluster alive, step lag, slowdown proxy, comm trend.
Skill Claude CodeCodex
Find ranks that are slow on many steps (worstfraction), not just once.
Skill Claude CodeCodex
SRE first-response triage for distributed training incidents. Automates the manual checks from PyTorch/NCCL debugging runbooks.
thecsdoctor/brendangregg-use-tsa-skill
Skill Claude CodeCodex
Methodical system performance troubleshooting and root cause analysis using Brendan Gregg's USE Method (Utilization, Saturation, Errors) and TSA Method (Thread State Analysis), plus off-CPU analysis, flame graphs, and structured reporting. Use when investigating slow systems, latency, high CPU/memory/disk/network…