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Found 356 Skills
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
Full Sentry SDK setup for Cloudflare Workers and Pages. Use when asked to "add Sentry to Cloudflare Workers", "install @sentry/cloudflare", or configure error monitoring, tracing, logging, crons, or AI monitoring for Cloudflare Workers, Pages, Durable Objects, Queues, Workflows, or Hono on Cloudflare.
Observability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured logging
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
Smoke test for alicloud-observability-pts. Validate script compilation and one bounded read-only PTS metadata query path.
Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.
Use when the user needs to integrate OpenClaw with Alibaba Cloud SLS/Observability, including collector setup, machine groups, indexes, dashboards, collection configs, or Logtail bindings on Linux.
OpenTelemetry semantic convention lookup and naming guidance. Use when selecting released semantic convention groups, attributes, or span naming rules, or when checking semantic convention compliance.
Adds OpenTelemetry-based tracing to applications via TrueFoundry's tracing platform (Traceloop SDK). Creates tracing projects, instruments Python/TypeScript code, and captures LLM calls and custom spans.
Apply when making VTEX IO services easier to observe, troubleshoot, and operate in production. Covers metrics, structured logging, failure visibility, rate-limit awareness, and production readiness checks for backend apps. Use for integration monitoring, error diagnosis, or improving the operational quality of VTEX IO services before or after release.
Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.
Aggregate and display system metrics with anomaly detection for a time period