axiom
Axiom observability platform for logs, events, and analytics via REST API
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Axiom observability platform for logs, events, and analytics via REST API
Sentry API via curl. Use this skill to manage error tracking, list issues, resolve errors, and monitor releases in Sentry.
Analyzes Kubernetes cluster events to understand what happened and when. Use when investigating incidents, checking warnings, building event timeline, or understanding cluster activity.
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...
Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform...
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...
Implement structured logging with log levels, formatting, and debugging. Use when adding logs to applications or debugging issues.
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...
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...
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...
Recognize New Relic queries and delegate to specialized sub-agent to avoid context pollution
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.
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...
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...
Site reliability specialist for Prometheus metrics, distributed tracing, alerting strategies, and SLO designUse when "observability, monitoring, prometheus, grafana, alerting, slo, sli, metrics, tracing, loggin...
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...
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...
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...
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'...
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...
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.
Set up metrics, logs, and traces for a service. Use when a mid-level developer needs basic observability coverage.
Coordinate debugging across multiple services. Use when a senior developer needs to trace a distributed issue.
Summarize noisy logs into likely causes and next steps. Use when a junior developer needs help interpreting logs.
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.