Is this skill idempotent?

Yes, it first checks if Serilog or structlog is already configured in the project and will skip the setup if it detects an existing implementation.

Can I choose between JSON and human-readable formats?

Yes, the skill allows you to choose JSON for production aggregation or pretty-printed/colored logs for local development.

Does it support log enrichment for request tracing?

Yes, it automatically configures enrichment for correlation IDs, user IDs, request paths, and response times to ensure logs are traceable across services.

Which programming stacks does this skill support?

The skill currently supports .NET (using Serilog and ASP.NET Core) and Python (using structlog and FastAPI).

Structured Logging Configurator

Name: Structured Logging Configurator
Author: levnikolaevich

bylevnikolaevich

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分析与监控

Automates the setup of production-grade structured logging for ASP.NET Core and FastAPI applications using Serilog and structlog.

关于

The ln-771-logging-configurator is a specialized L3 worker skill designed to bootstrap robust observability infrastructure in .NET and Python projects. By implementing industry-standard libraries like Serilog and structlog, it configures structured JSON logging, request tracking via correlation IDs, and context enrichment for enhanced debugging. This skill streamlines the entire setup process—from middleware implementation to environment-specific log level management—ensuring your application is prepared for professional log aggregation and monitoring platforms immediately.

主要功能

Support for multiple log sinks including Console, File, Seq, and Elasticsearch
38 GitHub stars
Structured JSON logging optimized for production log aggregators
Environment-aware configuration for development and production overrides
Built-in enrichment for correlation IDs, user context, and request metadata
Automated configuration for .NET (Serilog) and Python (structlog) stacks

使用场景

Bootstrapping observability in new microservices or web APIs
Migrating legacy console logging to structured, machine-readable JSON logs
Standardizing logging patterns across polyglot project architectures

关于

主要功能

Support for multiple log sinks including Console, File, Seq, and Elasticsearch
38 GitHub stars
Structured JSON logging optimized for production log aggregators
Environment-aware configuration for development and production overrides
Built-in enrichment for correlation IDs, user context, and request metadata
Automated configuration for .NET (Serilog) and Python (structlog) stacks

使用场景

Bootstrapping observability in new microservices or web APIs
Migrating legacy console logging to structured, machine-readable JSON logs
Standardizing logging patterns across polyglot project architectures