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Found 356 Skills
Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability
Envoy Gateway production deployment — deployment modes, performance tuning, observability, operational guidance
Expert logging guidance based on Boris Tane's loggingsucks.com philosophy. Use when implementing logging, adding observability, debugging production issues, or reviewing code that includes log statements. Covers wide events architecture, structured logging, smart sampling, and high-cardinality field design.
FastAPI OpenTelemetry style: native FastAPIInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.
Hermes Labyrinth observability plugin for monitoring autonomous agent journeys, crossings, and execution traces
Use when working on TypeScript code and needing to choose the smallest focused TypeScript skill for coding standards, boundaries, composition, configs, async control, error handling, observability, security, or testing.
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
PostgreSQL monitoring - metrics, alerting, observability
Patterns for reliable external service integration: env validation, health checks, error handling, observability. Invoke when integrating Stripe, Clerk, Sendgrid, or any external API.
Use the `datadog` CLI to manage Datadog resources — monitors, metrics, events, logs, services, errors, and pipelines. Invoke this skill whenever the user asks to query, create, update, or delete Datadog monitors, search logs or errors, check metric values, list APM services, or manage log pipelines. Also trigger when the user mentions Datadog observability tasks like "check the error rate", "look at monitors", "search logs for errors", "list services", or "set up a log pipeline".
Read-only observability dashboard plugin for Hermes Agent — journeys, crossings, guideposts, and reports.
Explain what an existing SigNoz dashboard shows in plain operational language — the panels, queries, variables, and what to watch for on each. Make sure to use this skill whenever the user asks "explain this dashboard", "what does my [X] dashboard show", "walk me through the panels", "what should I watch for on this dashboard", or "help me understand this dashboard", or otherwise asks for an interpretation of a dashboard's contents — even if they don't say "explain" explicitly. Also use it when someone is onboarding to a service and wants to understand what its existing observability looks like.