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Found 54 Skills
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, Python, and Ruby.
Idiomatic Go HTTP middleware patterns with context propagation, structured logging via slog, centralized error handling, and panic recovery. Use when writing middleware, adding request tracing, or implementing cross-cutting concerns.
Implement observability for Evernote integrations. Use when setting up monitoring, logging, tracing, or alerting for Evernote applications. Trigger with phrases like "evernote monitoring", "evernote logging", "evernote metrics", "evernote observability".
Instruments structured Sentry logs in a new or existing application.
Configure structured logging with Pino. Outputs human-readable colorized logs in development and structured JSON in production for log aggregation services.
Observability patterns for metrics, logging, distributed tracing, and error tracking. Trigger: When setting up monitoring, when implementing logging, when adding error tracking, when configuring distributed tracing, when building health checks, when creating dashboards.
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,
Observability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured logging
Personal C# conventions - style/structure (file layout, naming, member/ctor ordering, methods, types, visibility, modern C# 11/12/13 syntax, forbidden patterns, XML doc) and runtime behavior (DateTime/IClock, async, dispose, exceptions + Result, structured logging, secrets/config, LINQ, System.Text.Json, decoupling + DI lifetimes). Load before creating or editing any `.cs` file - writing, reviewing, or refactoring C#; do not lean on recalled conventions.
OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog). Use when implementing monitoring, tracing, or debugging production issues.
Complete observability stack with structured logging, error tracking, and web analytics.
Python logging with loguru and platformdirs. TRIGGERS - loguru, structured logging, JSONL logs, log rotation, XDG directories.