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Found 68 Skills
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, structured logging, distributed tracing, alerting, and dashboards
Use this skill when writing or reviewing C# code to follow project conventions. Covers naming standards, async patterns, CancellationToken usage, structured logging, nullable reference types, and formatting rules. Apply when authoring new C# classes, reviewing code style, or ensuring consistency with existing patterns.
PostHog logs for Datadog
Design structured logging systems with context propagation. Use to ensure Python applications are observable and logs are machine-readable.
Make application behavior visible to coding agents by exposing structured logs and telemetry. Use when asked to "add telemetry", "make logs accessible to agents", "add observability", "debug with logs", or when an agent needs to understand runtime behavior but has no way to query logs. Also use when debugging is difficult because there are no structured logs, when agent docs (CLAUDE.md, AGENTS.md) lack instructions for querying application logs, or when setting up logging infrastructure for a new or existing web application.
Use when choosing a logging approach, configuring slog, writing structured log statements, or deciding log levels in Go. Also use when setting up production logging, adding request-scoped context to logs, or migrating from log to slog, even if the user doesn't explicitly mention logging. Does not cover error handling strategy (see go-error-handling).
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.