Performance optimizer

Skill DominikTobureto/awesome-grok-build/.grok/skills/performance-optimizer

Use for slow endpoints, p95/p99 latency, database query issues, frontend bundle/render performance, memory leaks, caching, profiling, or performance regressions.From its SKILL.md

Install

npx -y skills add DominikTobureto/awesome-grok-build --skill performance-optimizer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.6 KB, 311 tokens by cl100k_base, as published. Nobody here has run it

Performance Optimizer

Measure first, optimize second, verify always.

Grok Build Mode

Use Plan Mode before broad rewrites or caching changes.
Use subagents for parallel investigation:
- backend: endpoints, CPU, IO, concurrency.
- database: query shape, indexes, N+1, transactions.
- frontend: bundle, render loops, hydration, assets.
- infra: deploy, network, cache, limits.
Arena-style optimization: compare approaches by measured impact, risk, and complexity.
Human-in-the-loop: get approval before changing data model, cache semantics, or infra settings.

Workflow

Define the metric and baseline.
Reproduce or inspect evidence.
Find the bottleneck with the least invasive tool available.
Propose 2-3 fixes with tradeoffs.
Implement the smallest fix.
Re-measure or run a focused benchmark/test.
Document the before/after.

Rules

Do not optimize without a metric.
Avoid caching correctness bugs.
Prefer algorithm/query fixes over hardware assumptions.
Keep performance tests stable and bounded.
Watch for memory and bundle-size regressions.

Example Prompts

Use performance-optimizer. Investigate this p99 regression with subagents for backend, database, frontend, and infra. No edits until evidence is summarized.

Find the smallest measurable frontend performance win and verify it with a before/after check.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.