All Monitoring skills
Best Claude Code skills for api development on Monitoring (May 2026)
5 curated Claude Code skills that handle api development on Monitoring projects. Install commands, configs, and copy-paste setup, refreshed May 2026.
5 items matching Monitoring & API Development.
Senior Ml Engineer
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infras…
kubernetesdockerperformancedeployment+5
Api Error Handling
Implements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services.
monitoringapi
Chrome Devtools
Browser automation with Puppeteer CLI scripts. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, or encountering JavaScript debugging, browser automation errors.
javascriptperformancemonitoringbrowser+3
Model Deployment
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
kubernetesdockerdeploymentmonitoring+2
Recommendation System
Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.
testingmonitoringapi