GitHub
logging-setup
Generates structured logging infrastructure using os.log/Logger to replace print() statements. Use when user wants to add proper logging, replace print statements, or set up app logging.
☆ 36Voir le skill
Skills IA tools monitoring
Découvrez les skills tools monitoring, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools monitoring
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Explorer
GitHub
error-monitoring
Generates protocol-based error/crash monitoring with swappable providers (Sentry, Crashlytics). Use when user wants to add crash reporting, error tracking, or production monitoring.
☆ 36Voir le skill
GitHub
analytics-setup
Generates protocol-based analytics infrastructure with swappable providers (TelemetryDeck, Firebase, Mixpanel). Use when user wants to add analytics, track events, or set up telemetry.
☆ 36Voir le skill
GitHub
structured-logging
RFC-34 compliant structured logging standards for Java services. Covers JSON log format, structured arguments, required fields, and Logback configuration. Use when implementing or reviewing logging in Java serv...
☆ 35Voir le skill
GitHub
axiom
Axiom observability platform for logs, events, and analytics via REST API
☆ 34Voir le skill
GitHub
sentry
Sentry API via curl. Use this skill to manage error tracking, list issues, resolve errors, and monitor releases in Sentry.
☆ 34Voir le skill
GitHub
analyzing-k8s-events
Analyzes Kubernetes cluster events to understand what happened and when. Use when investigating incidents, checking warnings, building event timeline, or understanding cluster activity.
☆ 34Voir le skill
GitHub
test-reporting-analytics
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...
☆ 34Voir le skill
GitHub
performance-monitor
Expert performance monitor specializing in system-wide metrics collection, analysis, and optimization. Masters real-time monitoring, anomaly detection, and performance insights across distributed agent systems...
☆ 32Voir le skill
GitHub
logging
Implement structured logging with log levels, formatting, and debugging. Use when adding logs to applications or debugging issues.
☆ 32Voir le skill
GitHub
sentry-setup-tracing
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScr...
☆ 32Voir le skill
GitHub
sentry-setup-metrics
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, Typ...
☆ 32Voir le skill
GitHub
sentry-setup-logging
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby...
☆ 32Voir le skill
GitHub
delegating-to-new-relic-agent
Recognize New Relic queries and delegate to specialized sub-agent to avoid context pollution
☆ 32Voir le skill
GitHub
qa-observability
Observability for quality engineering: using logs, metrics, and traces as test signals; SLI/SLO quality gates; trace-based debugging of failures; and cost-aware instrumentation with OpenTelemetry.
☆ 31Voir le skill
GitHub
observability
Expert at making systems observable and debuggable. Covers structured logging, metrics collection, distributed tracing, error tracking, and alerting. Knows how to find the needle in the haystack when production...
☆ 30Voir le skill
GitHub
alpha-research-recorder
Alpha 研究日志记录器 - 作为研究流程的数据持久化层。 核心功能： 1. 根据记录类型（session_meta/round/final_summary）引用对应的模板文件 2. 接收结构化数据并验证必填字段 3. 创建/更新 YAML 或 Markdown 日志文件 使用...
☆ 29Voir le skill
GitHub
observability-sre
Site reliability specialist for Prometheus metrics, distributed tracing, alerting strategies, and SLO designUse when "observability, monitoring, prometheus, grafana, alerting, slo, sli, metrics, tracing, loggin...
☆ 29Voir le skill
GitHub
logging-strategies
World-class application logging - structured logs, correlation IDs, log aggregation, and the battle scars from debugging production without proper logsUse when "log, logging, logger, debug, trace, audit, struct...
☆ 29Voir le skill
GitHub
kafka-observability
Kafka monitoring and observability expert. Guides Prometheus + Grafana setup, JMX metrics, alerting rules, and dashboard configuration. Activates for kafka monitoring, prometheus, grafana, kafka metrics, jmx ex...
☆ 28Voir le skill
GitHub
kafka-kubernetes
Kubernetes deployment expert for Apache Kafka. Guides K8s deployments using Helm charts, operators (Strimzi, Confluent), StatefulSets, and production best practices. Activates for kubernetes, k8s, helm, kafka o...
☆ 28Voir le skill
GitHub
dag-execution-tracer
Traces complete execution paths through DAG workflows. Records timing, inputs, outputs, and state transitions for all nodes. Activate on 'execution trace', 'trace execution', 'execution path', 'debug execution'...
☆ 27Voir le skill
GitHub
dag-failure-analyzer
Performs root cause analysis on DAG execution failures. Traces failure propagation, identifies systemic issues, and generates actionable remediation guidance. Activate on 'failure analysis', 'root cause', 'why...
☆ 27Voir le skill
GitHub
reactive-dashboard-performance
Expert in building blazing-fast reactive dashboards with comprehensive testing. Masters React performance patterns, testing strategies for async components, and real-world patterns from Linear, Vercel, Notion.
☆ 27Voir le skill
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.