tooling
Skill34 starsChanged 4 months agoMITView on GitHub
Python development tooling configuration and best practices for ruff, mypy, pytest, pyscn, and uv. Use when setting up a Python project, configuring linters, formatters, type checkers, or test frameworks, or when editing pyproject.toml or tool config files.
- Installs packages
5 other projects use a version of this.
Adopted by
Most recently taken up by
- umararshad4/honey-stacktheir own version, first seen Nov 1, 2026
- TheBeardedBearSAS/claude-crafttheir own version, first seen Oct 29, 2026
- alchemyplatform/aa-sdktheir own version, first seen Oct 8, 2026
- highcharts/highchartstheir own version, first seen Oct 8, 2026
- dotnet/efcoretheir own version, first seen Oct 8, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- dotnet/efcore★ 15ksame name
- highcharts/highcharts★ 13ksame name
- alchemyplatform/aa-sdk★ 321same name
- TheBeardedBearSAS/claude-craft★ 108same name
- umararshad4/honey-stack★ 5same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- coding-standardsSkill
- data-scienceSkill
- testingSkill
- web-applicationSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 58
Test framework configuration with pytest for reliable testing.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Python Tooling
A comprehensive guide to Python development tools. Configuration best practices for analysis, linters, type checkers, formatters, test frameworks, and package managers.
Why These Tools Matter
To write high-quality Python code, we recommend adopting these tools:
- pyscn - Detect dead code, duplicates, and circular dependencies to prevent technical debt
- ruff - Catch bugs and style violations early with fast static analysis
- mypy - Find errors before runtime with type checking, also improves IDE completion
- pytest - Build confidence in changes with reliable tests
- uv - Improve developer experience with fast dependency management
Integrating these into CI/CD reduces code review burden and maintains consistent quality.
Categories
Analysis [HIGH]
Structural code analysis for quality assessment.
| Rule | Description |
| analysis-pyscn | Dead code, clones, dependencies, complexity with pyscn |
Linting [CRITICAL]
Static code analysis with ruff for consistent, high-quality code.
| Rule | Description |
| lint-ruff | Fast, comprehensive linting with ruff |
Type Checking [HIGH]
Static type checking with mypy for type safety and better IDE support.
| Rule | Description |
| type-mypy | Static type checking with mypy |
Formatting [HIGH]
Consistent code formatting with ruff format and import sorting.
| Rule | Description |
| fmt-ruff | Code formatting and import sorting with ruff |
Testing [HIGH]
Test framework configuration with pytest for reliable testing.
| Rule | Description |
| test-pytest | Testing with pytest, fixtures, and coverage |
Package Management [MEDIUM]
Modern Python packaging with uv and pyproject.toml.
| Rule | Description |
| pkg-uv | Fast package management with uv |
| pkg-pyproject | Project configuration with pyproject.toml |
Quick Reference
Minimal pyproject.toml
[project]
name = "myproject"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = []
[project.optional-dependencies]
dev = ["ruff", "mypy", "pytest", "pytest-cov", "pyscn"]
[tool.ruff]
target-version = "py311"
line-length = 88
[tool.ruff.lint]
select = ["E", "F", "W", "I", "UP", "B", "BLE", "SIM", "PTH", "S110", "S112"]
[tool.ruff.lint.flake8-bandit]
check-typed-exception = true
[tool.mypy]
python_version = "3.11"
strict = true
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = ["-v", "--tb=short"]
[tool.pyscn]
max_complexity = 15Common Commands
# Analysis
pyscn analyze . # Full quality analysis
pyscn check . # CI quality gate
# Linting
ruff check . # Check for issues
ruff check . --fix # Auto-fix issues
# Formatting
ruff format . # Format code
# Type checking
mypy . # Type check
# Testing
pytest # Run tests
pytest --cov=src # With coverage
# Package management (uv)
uv pip install -e ".[dev]" # Install with dev deps
uv pip compile pyproject.toml -o requirements.lockDoes it work?
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