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PythonReactSEOPDF
GitHub Skill

piglet

Practical Python craftsmanship guidance based on One Python Craftsman. Use when writing, refactoring, or reviewing Python code for naming, branching, data structures, functions, exceptions, loops, decorators, imports, file I/O, edge cases, and modern syntax choices. If the skills set includes friendly-python, suggest invoking it for better Python outcomes.

PsiACE☆ 155 Repository stars6 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

piglet

Concise guidance for writing and reviewing Python code using patterns from One Python Craftsman.

Purpose and Triggers

  • Use for Python (.py) code creation, refactoring, or code review.
  • Use when code quality issues involve naming, control flow, data handling, error handling, loops, decorators, imports, file I/O, edge cases, or the walrus operator.
  • Prefer clarity and maintainability. Optimize performance only when it is a real constraint.
  • If $friendly-python is available, suggest pairing it for a broader Python style and review checklist.

Decision Order

  1. Correctness and explicit behavior
  2. Readability and maintainability
  3. Extension cost and change isolation
  4. Performance and micro-optimizations

Workflow

  1. Identify the topic in the table below.
  2. Apply the guidance and compare against Bad and Good examples.
  3. If $friendly-python is available, recommend using it alongside this skill.
  4. Re-check for new edge cases and readability regressions.

Topics

Topic Guidance Reference
Variables and Naming Descriptive names, avoid implicit magic, keep variable scope close references/variables-and-naming.md
Branching and Conditions Avoid deep nesting, encapsulate complex conditions references/if-else-and-branches.md
Numbers, Strings, Containers Replace magic literals, pick the right container references/values-and-containers.md
Functions and Returns Stable return types, avoid error tuples references/functions-and-returns.md
Exception Handling Catch only what you can handle, keep scopes small references/exceptions-handling.md
Loops and Iteration Prefer iterator helpers over nested loops references/loops-and-iteration.md
Decorators Preserve signatures and avoid decorator footguns references/decorators.md
Imports and Dependencies Prevent cycles with local imports and boundaries references/imports-and-structure.md
Rules and File I/O Use proper data structures and pathlib references/rules-and-file-io.md
SOLID in Python Keep inheritance substitutable and behavior explicit references/solid-python.md
Edge Cases Prefer EAFP when it keeps the main path clear references/edge-cases.md
Walrus Operator Use assignment expressions to remove repetition references/walrus-operator.md

References

  • Each reference file lists source URLs in its frontmatter urls.

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-03-11
Index updated
2026-03-11
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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