Performance and Load Testing skills for Claude Code and Codex
Skills for measuring and improving speed: performance reviews for Go and Django, web performance audits, Workers profiling, CI speedups, Qdrant latency tuning and hardware benchmarks. They help an agent find the slow path and prove a change made it faster.
Highest-scoring performance testing skills in the October 22, 2026 snapshot: go-performance-review from eduardo-sl/go-agent-skills (95/100), ci-speedup from mblode/agent-skills (91/100) and monitoring-expert from jeffallan/claude-skills (84/100). Scores come from the Suede Skill Check.
- 14 listed skills
- 9 repositories
- 3 with full pages
11 from official publishers. 2 bundle scripts. 0 connect to an outside service. Listed in DevOps and Cloud (5), Data, Analytics and Databases (4), Developer Tools and Frameworks (2), Code Review and Code Quality (1), AI Agents and LLM Engineering (1), Frontend and Design (1).
All 14 performance testing skills
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| Skill | Repository | What it does |
|---|---|---|
| ci-speedup 91/100 · A | mblode/agent-skills | Cuts CI wait by measuring a pipeline's critical path from run timestamps, then splitting, sharding, and trimming setup, with a before and after ledger. |
| go-performance-review 95/100 · A | eduardo-sl/go-agent-skills | Detects performance anti-patterns in Go and applies optimizations covering allocations, benchmarks, pprof, GC and GOMEMLIMIT tuning, PGO, and HTTP client reuse. |
| monitoring-expert 84/100 · B | jeffallan/claude-skills | Configures monitoring and observability by setting up structured logging, Prometheus and Grafana dashboards, alerting rules, distributed tracing, load tests, and profiling. |
| django-perf-review 83/100 · B | getsentry/skills | Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance"… |
| google-cloud-waf-performance-optimization 80/100 · B | google/skills | Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization… |
| jetson-llm-benchmark 70/100 · C | NVIDIA/skills | Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output. |
| jetson-video-benchmark 81/100 · B | NVIDIA/skills | Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity… |
| qdrant-indexing-performance-optimization 73/100 · C | qdrant/skills | Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is… |
| qdrant-minimize-latency 73/100 · C | qdrant/skills | Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency'… |
| qdrant-performance-optimization 73/100 · C | github/awesome-copilot | Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when… |
| qdrant-performance-optimization 81/100 · B | qdrant/skills | Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning… |
| qdrant-search-speed-optimization 76/100 · C | qdrant/skills | Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput… |
| web-perf 68/100 · D | cloudflare/skills | Audit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores. |
| workers-profiling 65/100 · D | cloudflare/skills | Profile or debug CPU usage and memory allocation in deployed Cloudflare Workers and Durable Objects. Then use this information to optimize your code. |
How to choose performance testing skills
Decide whether you need a review or a measurement. Review skills read code for known slow patterns; profiling and benchmark skills run the code and report numbers.
Profiling and benchmark skills need the target running with realistic data. Run them on the same hardware class as production, or the numbers will not transfer.
Record a baseline before the agent changes anything, and ask it to report before and after figures for each change.
Related topics
SQL and Databases 116Vector Databases and Embeddings 57Code Review 50Observability and Monitoring 54CI/CD and DevOps 39Cloudflare 20Go 34Google Cloud 146
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