Provides Python decorators, file ops, and logging utilities via pyrameworks.tools for developers.
npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-tools
Please help me install this Agent Skill. Skill: pywayne-tools Source: https://github.com/wangyendt/wayne-skills/tree/main/pywayne/tools Command: npx skills add https://github.com/wangyendt/wayne-skills --skill pywayne-tools
This collection provides a cohesive set of Python utilities under the pywayne.tools module, enabling faster development by offering ready-to-use decorators, file operations, logging, and configuration helpers.
Install the package and import the tools to begin using the decorators and utilities in your Python scripts.
High-intent search queries and answers about installing and using this skill.
You can instrument Python scripts by applying @func_timer and @trace_calls decorators from pywayne.tools to automatically measure execution time and log function calls with minimal boilerplate code.
The best way to manage YAML config files is using read_yaml_config and write_yaml_config functions, which provide consistent configuration management for data pipelines without adding external dependencies.
To list and count all files in a directory, use the list_all_files utility from pywayne.tools, which handles file operations and returns the results for automation scripts or data processing workflows.
Yes, you can use these Python logging and decorator utilities for AI tool development, as they provide fast instrumentation, consistent colored logging output, and simple configuration management for automation scripts.
pywayne-tools works with Python environments that have minimal package dependencies, as it implements decorators and file operations coherently without requiring external packages beyond standard Python tooling.
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