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Found 9 Skills
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics
Structured logging with proper levels, context, PII handling, centralized aggregation. Use for application logging, log management integration, distributed tracing, or encountering log bloat, PII exposure, missing context errors.
Logging best practices for applications and services including structured logging, log levels, and log management strategies
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.
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.
Python logging with loguru and platformdirs. TRIGGERS - loguru, structured logging, JSONL logs, log rotation, XDG directories.
Implement secure error handling to prevent information leakage and provide appropriate error responses. Use this skill when you need to handle errors in API routes, prevent stack trace exposure, implement environment-aware error messages, or use the error handler utilities. Triggers include "error handling", "handle errors", "error messages", "information leakage", "stack trace", "handleApiError", "production errors", "error responses".
Best practices and guidelines for using logger in API routes. Defines appropriate logging levels, what to log, and when to avoid logging. Use when implementing or reviewing API route logging, debugging strategies, or optimizing log output.
C# error handling, validation, and Result pattern best practices. Use when handling exceptions, implementing validation, designing error responses, or choosing between exceptions and Result types.