Analytics & Monitoring Agent Skills for Zed

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

Use when managing perf baselines, consolidating results, or comparing versions.

Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs.

Run a Maestro-style performance assessment for hotspots, regressions, and optimization planning

Use when mapping code paths, entrypoints, and likely hot files before profiling.

Use when appending structured perf investigation notes and evidence.

Use when generating performance hypotheses backed by git history and code evidence.

Validate application performance against defined budgets to identify

Expert performance engineer specializing in modern observability,

Use for performance optimization, performance regression analysis, throughput, latency, memory, CPU, allocation, IO, concurrency…

Use when the computational exhibits — performance profiles, runtime-vs-size plots, and results tables — are dense, misleading, or do not…

Investigate performance regressions and find opportunities for optimization

Provide comprehensive prioritized performance optimization recommendations

Identifies and fixes performance bottlenecks in code, databases, and APIs.

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

Performance profiling and bottleneck detection for Node.js, Python, and browser apps

Install the active skill from the bundle: Full 20 → 16 mapping: see the repo README.

This skill empowers Claude to perform regression analysis and modeling using the regression-analysis-tool plugin.

Apply Perplexity advanced debugging techniques for hard-to-diagnose issues.

Optimize Perplexity costs through tier selection, sampling, and usage monitoring.

Collect Perplexity debug evidence for support tickets and troubleshooting.