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Implements response time tracking for APIs, DB queries, external services, frontend, and jobs. Provides instrumentation code, monitoring configs, dashboards, SLOs, alerts, and optimization strategies.
How this command is triggered — by the user, by Claude, or both
Slash command
/response-time-tracker:track-response-timesThe summary Claude sees in its command listing — used to decide when to auto-load this command
# Response Time Tracker Implement comprehensive response time tracking and optimization. ## Tracking Areas 1. **API Endpoints**: HTTP request/response times 2. **Database Queries**: Query execution times 3. **External Services**: Third-party API latency 4. **Frontend Rendering**: Page load and render times 5. **Background Jobs**: Async task execution times ## Metrics to Track - **P50, P95, P99 Percentiles**: Response time distribution - **Average Response Time**: Mean latency - **Max Response Time**: Worst-case scenarios - **Time Series Data**: Response time trends ## Process 1. Iden...
Implement comprehensive response time tracking and optimization.
Provide:
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin response-time-tracker/add-performance-monitoringSets up application performance monitoring for Node.js apps with New Relic or Datadog APM, adding config files, instrumentation, middleware, and custom metrics.
/flow-performance-optimizationOrchestrates performance optimization workflow: establishes baselines, identifies bottlenecks, implements tunings, conducts load tests, and validates SLOs in project directories.
/perfRuns performance monitoring and optimization: k6 load tests, Prometheus queries, Grafana dashboards, and profiling via subcommands.
/observabilitySets up observability for services — instrument with logs/metrics/traces, create Grafana dashboards, write Prometheus alerts, define SLOs, run k6 load tests, and plan capacity. Supports multiple subcommands.
/optimize-performanceProfiles application performance, identifies bottlenecks, implements optimizations for backend, frontend, and infrastructure, then benchmarks improvements.
/optimizeAnalyzes codebase and infrastructure for performance issues across frontend, backend, infra, and architecture, delivering prioritized recommendations, quick wins, and implementation roadmap with code examples.