Discover content media monitoring skills, compare source repositories and read the instructions for each workflow.
Design Service Level Objectives (SLOs) with SLIs, targets, alerting thresholds, and error budget calculations following Google SRE best practices. Use when defining reliability targets, designing SLOs, calculat...
Collect and report metrics on agent usage from git history implementing the 8 key metrics defined in agent-metrics.md for measuring agent system health effectiveness and adoption.
Unified Python logging patterns with loguru, platformdirs, RotatingFileHandler. TRIGGERS - loguru, platformdirs, structured logging, JSONL logs, log rotation, XDG directories, python logging setup, machine read...
Multi-agent parallel performance profiling workflow for identifying bottlenecks in data pipelines. Use when investigating performance issues, optimizing ingestion pipelines, profiling database operations, or di...
Query and explore logs in Grafana Loki via the logcli command-line tool. Use when a user asks to pull logs for analysis.
Query and explore distributed traces in Grafana Tempo. Use when a user asks to pull tracing data for analysis.
Manages deployment, infrastructure, and observability. Use when deploying with PM2, Helmfile/K8s, configuring databases, or setting up Prometheus/Grafana monitoring.
Production-grade observability stack with Prometheus metrics, Grafana dashboards, PromQL query language, alerting rules, and AI-powered anomaly detection for modern cloud-native applications
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript and Python.
Setup Sentry in Ruby apps. Use when asked to add Sentry to Ruby, install sentry-ruby gem, or configure error monitoring for Ruby applications or Rails.
Setup Sentry Tracing (Performance Monitoring) in any project. Use when asked to enable tracing, track transactions/spans, measure latency, or add performance monitoring. Supports JavaScript, Python, and Ruby.
Setup Sentry Logging in any project. Use when asked to add Sentry logs, enable structured logging, capture console logs, or integrate logging libraries (Pino, Winston, Loguru) with Sentry. Supports JavaScript,...
Comprehensive observability skill for monitoring, logging, distributed tracing, alerting, and SLI/SLO implementation across distributed systems. Includes dashboard generation, alert rule creation, error budget...
High-performance structured JSON logging for Node.js. Use when building production APIs that need fast, structured logs for observability platforms (Datadog, ELK, CloudWatch). Provides request logging middlewar...
Automates the integration of Azure Application Insights telemetry into web applications for monitoring, diagnostics, and performance tracking
Structured logging, metrics, distributed tracing, and alerting strategies
Configure Sentry for error tracking, performance monitoring, and log aggregation. Integrates with Pino to forward logs to Sentry automatically.
Complete observability stack with structured logging, error tracking, and web analytics.
Capture exceptions, add context, create performance spans, and use structured logging with Sentry.
Use structured logging with Pino throughout your application. Covers log levels, context, and workflow-safe logging patterns.
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Contains MANDATORY logging and debugging patterns for Tzurot v3. MUST be consulted before adding logs or debugging production. Covers structured logging, correlation IDs, and Railway log analysis.
Use CDP at localhost:9222 to test/debug websites, automate browser tasks
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.