Python Resource Management

This handles Python resource cleanup the right way with proper context managers, both sync and async variants. You get patterns for database connections, file handles, streaming responses that accumulate state, and the tricky bits like selective exception suppression and nested resource cleanup. The examples show real __enter__/__exit__ implementations, not just the contextlib shortcuts. Covers the cases where resources absolutely must be released even when things go wrong, which is most production code involving databases, files, or network connections.

skills.sh installs: 11.4K
GitHub stars: 42.4K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add wshobson/agents --skill python-resource-management --agent claude-code

Installs into .claude/skills of the current project.

Files

Python Resource Management

Manage resources deterministically using context managers. Resources like database connections, file handles, and network sockets should be released reliably, even when exceptions occur.

When to Use This Skill

Managing database connections and connection pools
Working with file handles and I/O
Implementing custom context managers
Building streaming responses with state
Handling nested resource cleanup
Creating async context managers

Core Concepts

1. Context Managers

The with statement ensures resources are released automatically, even on exceptions.

2. Protocol Methods

__enter__/__exit__ for sync, __aenter__/__aexit__ for async resource management.

3. Unconditional Cleanup

__exit__ always runs, regardless of whether an exception occurred.

4. Exception Handling

Return True from __exit__ to suppress exceptions, False to propagate them.

Quick Start

from contextlib import contextmanager

@contextmanager
def managed_resource():
    resource = acquire_resource()
    try:
        yield resource
    finally:
        resource.cleanup()

SKILL.md on GitHub