sentry-performance-monitoring
Use when setting up performance monitoring, distributed tracing, or profiling with Sentry. Covers transactions, spans, and performance insights.
Use when setting up performance monitoring, distributed tracing, or profiling with Sentry. Covers transactions, spans, and performance insights.
Analyze performance metrics and identify slow transactions in Sentry
Use when Go error handling with error wrapping, sentinel errors, and custom error types. Use when handling errors in Go applications.
Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
Use this skill whenever the user needs to interact with BLE peripherals through the workbench — scanning for devices, connecting by address, writing to GATT characteristics, or checking connection status. The Pi acts as a BLE-to-HTTP bridge using bleak. Also use when sending keystrokes to BLE HID devices, triggering OTA via BLE commands, or debugging BLE connectivity. Triggers on "BLE", "bluetooth", "GATT", "NUS", "Nordic UART", "BLE scan", "BLE write", "BLE connect".
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. Covers the signing proxy, container registry setup, OCI Container Instance deployment, and PromQL dashboards. Triggered when user wants to monitor LLM deployments, view TTFT/latency/throughput metrics, or set up observability for AQUA.
Investigate incidents, debug performance issues, analyze logs, and manage observability resources in Dynatrace using the dtctl CLI. Use this skill whenever the user asks about error rates, latency spikes, service health, crash-looping pods, web vitals, SLO status, open problems, root cause analysis, log patterns, trace analysis, or building dashboards — even if they don't mention Dynatrace by name. Also covers DQL queries, workflow management, notebook and dashboard creation, settings configuration, and any operations against a Dynatrace environment.
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.
Add, connect, and configure nodes in Blueprint event graphs and function graphs
Use this skill when working with SigNoz - open-source observability platform for application monitoring, distributed tracing, log management, metrics, alerts, and dashboards. Triggers on SigNoz setup, OpenTelemetry instrumentation for SigNoz, sending traces/logs/metrics to SigNoz, creating SigNoz dashboards, configuring SigNoz alerts, exception monitoring, and migrating from Datadog/Grafana/New Relic to SigNoz.
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.
Convert a PRD into a phased implementation plan using tracer-bullet vertical slices. Use when user wants to break down a PRD, create an implementation plan, plan phases from a PRD, or mentions tracer bullets.
Interact with Elasticsearch and Kibana via REST API using curl. Use when querying, indexing, managing indices, checking cluster health, writing aggregations, deploying dashboards, or troubleshooting Elasticsearch. Requires cluster URL and API key. Covers: search (Query DSL), CRUD operations, index management, mappings, aggregations, cluster health, ILM, ES|QL, Kibana API (dashboards, data views, saved objects), OpenTelemetry data patterns, and common troubleshooting patterns.
Railway.com built-in metrics, monitoring dashboards, alerting (Pro plan), and external OTEL integration with Grafana. Use when setting up monitoring, creating dashboards, configuring alerts, integrating Prometheus/Loki/Tempo, deploying Grafana stack, or analyzing Railway service metrics.
Cross-protocol yield rotator for Stacks mainnet. Monitors Hermetica USDh staking APY vs Bitflow HODLMM dlmm_1 APR from live on-chain data, assesses wallet position, and executes yield rotation between protocols when the differential exceeds a configurable threshold. Write-capable: outputs MCP commands for stake, initiate-unstake, complete-unstake, and cross-protocol rotate actions.
LLM observability with Langfuse — OpenTelemetry-based tracing, evaluations, prompt management, datasets, and production best practices
PostHog analytics and feature flags setup
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.
Use this skill when working with SigNoz - open-source observability platform for application monitoring, distributed tracing, log management, metrics, alerts, and dashboards. Triggers on SigNoz setup, OpenTelemetry instrumentation for SigNoz, sending traces/logs/metrics to SigNoz, creating SigNoz dashboards, configuring SigNoz alerts, exception monitoring, and migrating from Datadog/Grafana/New Relic to SigNoz.
MANDATORY for ALL telemetry, logging, and observability work. Invoke before writing telemetry handlers, Logger calls, or metrics code.
Use when adding a new WAF/CDN provider or extending detection logic.
Build production traffic engineering for Kubernetes with Envoy Gateway, Gateway API, KEDA autoscaling, and Envoy AI Gateway. Use when implementing ingress, rate limiting, traffic routing, TLS, autoscaling, or LLM traffic management.