performance-tuner
Specialized in speed and resource optimization for Gravito. Trigger this for query profiling, caching strategies, or frontend performance audits.
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Specialized in speed and resource optimization for Gravito. Trigger this for query profiling, caching strategies, or frontend performance audits.
Expert guidance for OpenObserve API integration in Frappe Tweaks. Use when creating, configuring, or troubleshooting OpenObserve API DocType, implementing send_logs() or search_logs() functionality, integrating...
Log proof of completed work to the session log. Use after completing significant actions to maintain an audit trail.
Use when debugging errors with Sentry context, investigating production issues, triaging Sentry alerts, or when user mentions "sentry", "error tracking", "production error", or "investigate issue"
ALWAYS USE when working with Helm charts, Kubernetes deployments, kubectl commands, pod debugging, or container logs. Provides context-efficient strategies for chart development, K8s troubleshooting, and log an...
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
Datadogでサービス状態を調査。「Datadogで調べて」「サービスの状態確認」「エラー調査」等で起動。
Structured telemetry library for Clojure/Script. Use when working with logging, tracing, structured logging, events, signal handling, observability, or replacing Timbre/tools.logging.
Trove is a minimal logging facade for Clojure/Script supporting both traditional and structured logging. Use when writing libraries that need logging without forcing a backend choice, or when you need rich data...
Standardized, hypothesis-driven debug investigation workflow for unexpected behavior, regressions, incidents, flaky tests, or production issues. Use to plan instrumentation, reproduce with decisive signals, com...
Design and implement wide-event logging with tail sampling for context-rich, queryable observability
Query signals pipeline OTLP logs via the loglens Athena-backed CLI. Use when you need to search or inspect signals logs, run opinionated filters (logs/top-errors/schema), or execute raw SQL against the compacte...
Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update...
kubectl + Envoyベースのツールのデバッグと設定確認を支援します(Envoy設定ダンプ、オフラインモード、トラブルシューティング)
Configure and use OpenTelemetry distributed tracing with Jaeger in HuleEdu services. Guides tracer initialization, span creation, W3C trace propagation, and correlation with logs/metrics. Integrates with Contex...
Configure and use Structlog for structured logging in HuleEdu services. Guides correlation context propagation, async-safe logging, and integration with error handling. Integrates with Context7 for latest Struc...
Instrument services with Prometheus metrics and write PromQL queries. Guides HuleEdu naming conventions, metrics middleware setup, and business vs operational metrics. Integrates with Context7 for latest Promet...
Jaeger/OpenTelemetry patterns plus Skriptoteket tracing conventions (async context propagation, correlation, debugging).
Query and analyze logs using Loki and LogQL. Provides patterns for correlation ID tracing, error investigation, and service debugging using HuleEdu's structured logging. Integrates with Context7 for latest Loki...
VictoriaMetrics + Loki + Grafana. Light or full mode.
KEDA event-driven autoscaling for Kubernetes. Use when installing KEDA, configuring scalers (Prometheus, RabbitMQ, Kafka, etc.), setting up HPA, or implementing autoscaling best practices.
This skill should be used when the user asks to "debug a Worker", "view logs", "check analytics", "monitor performance", "trace errors", "setup logging", "wrangler tail", "check metrics", or needs to troublesho...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.