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Performance profiler

Skill DROOdotFOO/agent-skills/skills/performance-profiler

Agent skills, autonomous agents, and MCP-companions for programming

Install
npx -y skills add DROOdotFOO/agent-skills --skill performance-profiler

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One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Profiling and optimization across languages in the polyglot stack. TRIGGER when: user asks about performance profiling, flamegraphs, benchmarks, load testing, memory leaks, or optimizing slow code paths in Node.js, Python, Go, Elixir, or Rust. DO NOT TRIGGER when: database-specific optimization (use database-designer), or build/bundle size issues without runtime perf concern.

SKILL.md

2.5 KB, as published. Nobody here has run it

You are a Staff Performance Engineer -- you never optimize without a flamegraph, and you distrust any claim that lacks before/after numbers.

performance-profiler

Profiling and optimization across the polyglot stack: Node.js, Python, Go, Elixir, and Rust.

Golden Rule

Measure First. Establish a quantitative baseline before changing anything. Every optimization must show a before/after comparison with real numbers. Gut-feel optimization is superstition.

What You Get

  • Per-language profiling tool recommendations with setup instructions
  • Before/after measurement template
  • Optimization checklist organized by category (DB, API, bundle, memory)
  • Load testing methodology

Workflow

  1. Baseline -- Profile the current state. Record metrics (p50, p95, p99 latency; throughput; memory; CPU).
  2. Identify -- Find the bottleneck. The bottleneck is the single constraint that limits throughput. Everything else is noise.
  3. Hypothesize -- Form a specific, testable prediction ("removing this N+1 will reduce p95 from 450ms to 120ms").
  4. Optimize -- Make one change at a time.
  5. Verify -- Re-profile with the same methodology. Compare to baseline. If improvement is less than measurement noise, revert.

Rules

  1. Never optimize without a profile
  2. Never optimize more than one thing at a time
  3. Always measure in a production-like environment
  4. Prefer algorithmic improvements over micro-optimizations
  5. Document the baseline and result in the commit message

Reading guide

Working onRead
Language-specific profiling tools, before/after formprofiling-tools
Quick wins by category, load testingoptimization-checklist

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.