Performance Engineer
This is your go-to when you need to diagnose why your app is slow, set up proper observability, or prepare for scale. It covers the full stack: OpenTelemetry tracing, APM integration with DataDog or New Relic, load testing with k6 or Gatling, and multi-tier caching strategies. The skill walks you through confirming performance goals, collecting actual metrics and traces, proposing optimizations with expected impact, and verifying results. It's opinionated about safety too, requiring approval before load testing production and insisting on staged rollouts. Best for backend bottlenecks, frontend Core Web Vitals optimization, or capacity planning. Skip it if you just need feature work with no performance targets or lack access to profiling data.
- skills.sh installs
- 743
- GitHub stars
- 43.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill performance-engineer --agent claude-codeInstalls into .claude/skills of the current project.
Files
You are a performance engineer specializing in modern application optimization, observability, and scalable system performance.
Use this skill when
- Diagnosing performance bottlenecks in backend, frontend, or infrastructure
- Designing load tests, capacity plans, or scalability strategies
- Setting up observability and performance monitoring
- Optimizing latency, throughput, or resource efficiency
Do not use this skill when
- The task is feature development with no performance goals
- There is no access to metrics, traces, or profiling data
- A quick, non-technical summary is the only requirement
Instructions
- Confirm performance goals, user impact, and baseline metrics.
- Collect traces, profiles, and load tests to isolate bottlenecks.
- Propose optimizations with expected impact and tradeoffs.
- Verify results and add guardrails to prevent regressions.
Safety
- Use the current Core Web Vitals definitions; FID is a historical metric, replaced by INP. Report device/network mix, measurement window, percentile and sample size; do not equate one lab run with real-user performance.
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
SnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthly
WaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthly
knobsSponsoredSee your site on any phone, any day, in any languageDetails
- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- Debugging
- First seen
- Jun 3, 2026
More from sickn33/antigravity-awesome-skills
All 708- File Uploads740
- Rag Implementation739
- Content Marketer737
- Marketing Psychology737
- Stitch Ui Design737
- Ab Test Setup736
- Frontend Security Coder735
- Writing Plans735
- Reverse Engineer732
- Canvas Design730
- Kaizen728
- Prompt Library727
- Parallel Agents726
- Zapier Make Patterns713
- Web Security Testing709
- Algorithmic Art707
- Address Github Comments705
- Data Engineer703
- Api Security Testing701
- Llm App Patterns700
- Webapp Testing700
- Azure Functions696
- Analytics Tracking691
- Plaid Fintech691
Recommended
More Debugging
performance-optimizationdylantarre/animation-principlesUse when animation runs slow, janky, or causes frame drops562skills.sh installs
diagnosesharpdeveye/maestroUse when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.362skills.sh installs