libertininick/pyclaudefig

docstring-conventions

Google-style docstring conventions for Python code. Apply when writing or reviewing functions, classes, or modules that need documentation.

naming-conventions

Python naming conventions for this codebase. Apply when writing or reviewing Python code including functions, classes, variables, and constants.

type-hints

Python type hint conventions for this codebase. Apply when writing or reviewing Python code that needs type annotations on functions, classes, or variables.

pythonic-conventions

Essential Pythonic idioms and conventions. Apply when writing or reviewing Python code to ensure idiomatic patterns like comprehensions, built-in functions, context managers, and unpacking.

code-organization

Python code organization conventions for this codebase. Apply when structuring modules, organizing imports, designing file layouts, or moving functions/classes within or between files. Use PROACTIVELY when users request to check code organization, move code,…

complexity-refactoring

Refactoring complex functions into smaller, pure helper functions. Apply when function complexity is exceeded or when extracting helper functions during refactoring. If tasked with fixing ruff lint errors related to complexity, ALWAYS trigger this skill.

plan-template

Implementation plan templates with format specifications, validation criteria, and examples. Use when creating plans for features, bug fixes, or refactoring. Provides the complete plan structure and writing guidance.

run-python-safely

Execute Python code safely by checking for dangerous operations first. ALWAYS use when running agent-generated Python code.

skill-template

Skill structure, frontmatter options, and writing guidelines. Reference for creating Claude Code skills.

test-writing

Pytest testing conventions for this codebase. Apply when writing or reviewing tests including test naming, structure, fixtures, and parametrization.

validate-code

Run code validation checks (lint, format, type, docstring, doctest, test). Use when validating code quality after writing or modifying Python code.

validate-manifest

Validate .claude/manifest.json structure and references. Apply after modifying the manifest to ensure correctness.

write-markdown-output

Write content to a timestamped markdown file. Use when agents need to save plans, reviews, or other outputs.

class-design

Python class design conventions for this codebase. Apply when writing or reviewing classes including interfaces, inheritance, composition, and attribute access.

data-structures

Python data structure conventions for this codebase. Apply when choosing between Pydantic models, dataclasses, and other data containers or reviewing data structure design choices.

explore-project

Explore project structure to understand layout, packages, and key files. Use when you need context about how the project is organized.

fetch-docs

Fetch framework documentation when uncertain about APIs. Use when you need up-to-date docs for approved frameworks.

frameworks

Approved frameworks and libraries for this codebase. Apply when selecting libraries, checking if a framework is approved, or fetching documentation for approved tools.

function-design

Python function design conventions for this codebase. Apply when writing or reviewing functions including signatures, parameters, return types, and async patterns.

maintainability

Maintainability assessment criteria for code review. Apply when evaluating code for readability, change tolerance, hidden assumptions, and debuggability.

pr-description-template

PR description templates with format specifications and examples. Use when generating PR descriptions. Provides the complete PR structure and writing guidance.

review-template

Code review output templates with format specifications and severity guidance. Use when generating code reviews. Provides the review structure and quality bar.

test-quality

Test quality assessment criteria for reviewing tests. Apply when evaluating tests for substantive coverage, organization, maintainability, and realistic test data variety.

testability

Testability assessment criteria for code review. Apply when writing new code that will be tested or evaluating code for dependency injection, global state, pure functions, and test seams.