Python · By wshobson

Covers building subscription billing: billing cycles, subscription states, invoice generation, proration, tax handling and dunning for failed payments.

wshobson/agents

Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.

wshobson/agents

Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

wshobson/agents

Package and publish Python libraries and CLI tools: project layout, pyproject.toml, build backends, wheels and source distributions, versioning and PyPI releases.

wshobson/agents

Sets up data quality checks with Great Expectations, dbt tests and data contracts, with checkpoints and pass-fail reports for pipelines.

wshobson/agents

Scaffolds FastAPI projects with a layered app layout, dependency injection through Depends, async handlers and database access, middleware and pytest setup.

wshobson/agents

Reference for building payment systems that meet PCI DSS: the 12 requirements, merchant levels, data that must never be stored, tokenization and encryption.

wshobson/agents

Test Temporal workflows with pytest, time-skipping, and mocking strategies.

wshobson/agents

Patterns for writing production-ready Apache Airflow DAGs: task dependencies, custom operators and sensors, local testing, and rules for what to avoid.

wshobson/agents

Speed up slow Apache Spark jobs by tuning partitions, shuffles, data skew, caching and executor memory, with do and don't rules for PySpark code.

wshobson/agents

Python background job patterns including task queues, workers, and event-driven architecture.

wshobson/agents

Python configuration management via environment variables and typed settings.

wshobson/agents

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance.

wshobson/agents

Python error handling patterns including input validation, exception hierarchies, and partial failure handling.

wshobson/agents

Python observability patterns including structured logging, metrics, and distributed tracing.

wshobson/agents

Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators.

wshobson/agents

Python resource management with context managers, cleanup patterns, and streaming.

wshobson/agents

Python type safety with type hints, generics, protocols, and strict type checking.

wshobson/agents

A skill your agent uses when reviewing Python code for common anti-patterns to avoid.

wshobson/agents

Python code style, linting, formatting, naming conventions, and documentation standards.

wshobson/agents

Python project organization, module architecture, and public API design.

wshobson/agents