Agent skill · software engineering · aiskillstore
structlog
Structured logging for Python applications with context support and powerful processors
Why this skill is useful
Provides specific configuration patterns and custom processors for structured logging in Python that the AI wouldn't reliably generate on its own.
What it needs
Requires structlog installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Structlog Skill Quick Start Common Patterns Basic Configuration JSON Logging Standard Library Integration Context Binding Custom Processors Exception Handling Testing with Structlog Performance-Optimized Configuration Advanced Console Output Key Features Structured Logging: Log events as dictionaries with context Multiple Output Formats: Console, JSON, logfmt, and custom renderers Context Binding: Persistent context across log calls Standard Library Integration: Works seamlessly with Python's logging module Performance: Optimized for high-throughput applications Testing Support: Built-in testing utilities Exception Handling: Enhanced exception formatting and rendering Custom Processors: Flexible pipeline for log processing Best Practices 1. Configure Once: Set up structlog configuration at application startup 2. Use Context: Bind relevant context (requestid, userid) early in request handling 3. Choose Right Renderer: Use ConsoleRenderer for development, JSONRenderer for production 4. Test Logging: Use LogCapture for unit testing logging behavior 5. Performance: Cache loggers and use efficient processors for production
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/structlog