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Found 700 Skills
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Teaches the renderless component pattern for logic-only Vue components. Use when you want to encapsulate behavior without dictating markup, letting consumers control rendering via scoped slots.
Offer same-day local delivery with geographic zone management, customer-facing time-slot booking, and driver dispatch coordination
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
Identifies API latency hotspots and bottlenecks with profiling tools, slow endpoint detection, suspected causes, and fix roadmap. Use for "latency profiling", "performance bottlenecks", "slow APIs", or "backend performance".
Expert-level site reliability engineering, SLOs, incident management, and operational excellence
Provides systematic approaches for solving constraint-based scheduling problems, such as finding meeting times that satisfy multiple participant availability windows, preferences, and existing calendar conflicts. This skill should be used when tasks involve scheduling with constraints, calendar conflict resolution, time slot optimization, or finding valid time windows across multiple inputs with hard and soft constraints.
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
Polish code changes by recovering context, checking against codebase guidelines, removing AI slop, and running review. Use when finalizing work on a branch before PR.
When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
Use this skill when implementing logging, metrics, distributed tracing, alerting, or defining SLOs. Triggers on structured logging, Prometheus, Grafana, OpenTelemetry, Datadog, distributed tracing, error tracking, dashboards, alert fatigue, SLIs, SLOs, error budgets, and any task requiring system observability or monitoring setup.