generating-helm-charts

generating-infrastructure-as-code

detecting-infrastructure-drift

adk-infra-expert

genkit-infra-expert

gh-actions-validator

vertex-infra-expert

creating-kubernetes-deployments

configuring-load-balancers

setting-up-log-aggregation

This skill turns raw repo activity (merged PRs, issues, commits, optional Slack updates) into a publishable changelog draft and prepares a branch/PR for review.

deploying-monitoring-stacks

managing-network-policies

integrating-secrets-managers

configuring-service-meshes

managing-autonomous-development

building-terraform-modules

tweetclaw

code-formatter

plugin-auditor

plugin-creator

plugin-validator

skill-adapter

performing-security-code-review

adk-agent-builder

vertex-agent-builder

optimizing-prompts

generating-conventional-commits

performing-security-audits

creating-alerting-rules

creating-apm-dashboards

profiling-application-performance

detecting-performance-bottlenecks

optimizing-cache-performance

analyzing-capacity-planning

monitoring-cpu-usage

setting-up-distributed-tracing

Monitor and analyze application error rates across HTTP endpoints, database queries, external APIs, and background jobs with threshold-based alerting and error budget tracking.

Collect and centralize infrastructure metrics across compute, storage, network, containers, load balancers, and databases using Prometheus, Datadog, or CloudWatch.

Create and execute load tests using k6, JMeter, and Artillery to validate application performance under stress, spike, soak, and scalability scenarios.

Analyze application logs to identify slow requests, recurring error patterns, and resource usage anomalies with structured reporting and optimization recommendations.

Detect and diagnose memory leaks in Node.js, Python, and JVM applications by analyzing event listeners, closures, unbounded caches, and retained references.

Aggregate and centralize performance metrics from applications, databases, caches, and infrastructure into Prometheus, StatsD, or CloudWatch with unified naming conventions.

Diagnose network latency issues and optimize request patterns through parallelization, batching, connection pooling, and timeout tuning.

Implement Real User Monitoring (RUM) to capture Core Web Vitals, page load times, and custom performance events using Google Analytics, Datadog RUM, or New Relic.

Track and analyze response times across API endpoints, database queries, and service calls with P50/P95/P99 percentile reporting and SLO compliance monitoring.

Define and track SLAs, SLIs, and SLOs for service reliability including availability targets, latency budgets, error rate thresholds, and error budget burn rates.

Configure synthetic monitoring for uptime checks, transaction flows, and API health using Pingdom, Datadog, or New Relic with multi-location probes and alerting.

000-jeremy-content-consistency-validator

yaml-master