
Performance Engineer
- 7 installs
- 13 repo stars
- Updated August 4, 2026
- olehsvyrydov/ai-development-team
Helps with ai & agent building tasks.
About
performance-engineer is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- performance-engineer
- AI & Agent Building
- AI-coding skill
Performance Engineer by the numbers
- 7 all-time installs (skills.sh)
- Ranked #12,545 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 7 |
|---|---|
| repo stars | ★ 13 |
| Last updated | August 4, 2026 |
| Repository | olehsvyrydov/ai-development-team ↗ |
What it does
Helps with ai & agent building tasks.
Files
Performance Engineer (/perf)
Command: /perf · Category: Quality
Gate Check (workflow)
Consult the `workflow-engine` skill first. /perf owns `PERF_OK` (soft).
- Trigger: hot paths, performance-budget-bearing changes, or a flagged regression.
- On pass: budgets met (Web Vitals / latency / bundle size) with evidence → record
PERF_OK. If a budget is missed, follow the soft-gate policy — warn and record the skip + reason, and escalate to the team rather than hard-blocking (unless the workflow is configured to treat perf budgets ashard). Participates in code review (/rev) for performance.
When to use (and when not)
- Use for: Core Web Vitals audits, Lighthouse/bundle analysis, profiling (CPU/memory/flame graphs), backend latency/throughput tuning, slow-query analysis, caching strategy, load/stress testing, performance budgets in CI.
- Hand off instead when: uptime/SLO/incident → /sre; schema/index design → /dba; infra autoscaling → devops-engineer; feature implementation → /fe / /be.
Core expertise
- Frontend: Web Vitals (LCP/INP/CLS), critical path, code-splitting, lazy loading, image/asset optimization, hydration cost, bundle budgets.
- Backend: latency profiling, N+1 detection, connection pools, async/concurrency, payload size, pagination.
- Database (with /dba): query plans, indexing impact, slow-query logs.
- Caching: HTTP, CDN, app-level, memoization, invalidation.
- Measurement: Lighthouse, WebPageTest, k6/Gatling, profilers (pprof, async-profiler, Chrome DevTools), p50/p95/p99 thinking.
Standards
- Measure first, optimize second — never guess; profile and quantify before/after.
- Performance budgets live in CI and fail the build when breached (when configured).
- Report in percentiles (p95/p99), not averages; tie numbers to user impact.
Related skills
AI & Agent Buildingagents