lib-structlog

Enforce structured logging with FlextLogger and FlextRuntime bridges.

Updated May 20, 2025
One-click install
npx skills add https://github.com/flext-sh/flext --skill lib-structlog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lib-structlog
Source: https://github.com/flext-sh/flext/tree/main/.claude/skills/lib-structlog
Command: npx skills add https://github.com/flext-sh/flext --skill lib-structlog

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill standardizes and simplifies the process of adding robust, context-aware logging to applications, ensuring consistency and maintainability.

Core Features & Use Cases

  • Context Propagation: Automatically includes relevant context (like request IDs, user IDs) in log messages.
  • DI Integration: Provides factories for creating loggers within dependency injection frameworks.
  • Use Case: When debugging a complex distributed system, this Skill ensures that all logs related to a specific request are easily traceable by automatically binding and propagating a unique request ID across all services.

Quick Start

Use the lib-structlog skill to create a module logger for the current file.

Frequently Asked Questions about lib-structlog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add structured logging with context propagation to a Python application?

Structured logging with context propagation is enforced by using FlextLogger factory methods and FlextRuntime configuration to manage structlog processors and context variables. This ensures consistent, auditable log outputs across services and modules.

How does context propagation work when debugging distributed Python services?

Context propagation in distributed Python services works by automatically binding and propagating unique identifiers, like request IDs, across all services. This ensures all logs related to a specific request remain easily traceable throughout the system.

Can I use structlog with dependency injection frameworks in Python?

Yes, you can use structlog with dependency injection frameworks in Python. The Skill provides specific factories for creating loggers within dependency injection frameworks to standardize context-aware logging.

What is the best way to maintain consistent, auditable log outputs across Python modules?

The best way to maintain consistent, auditable log outputs is mandating FlextLogger factory methods and FlextRuntime configuration. This standardizes structlog processor management and context variables across all application modules.

Do I need FlextRuntime to configure structlog processors and context variables?

Yes, FlextRuntime is required to configure structlog processors and context variables. It bridges dependency injection and logger configuration to manage context propagation consistently across Python applications.