thinkfleetai/thinkfleet-engine

toolchain-python

Python project toolchain -- venv, pip, testing, linting, packaging, and debugging.

First seen Mar 1, 2026

Installation

$ npx skills add thinkfleetai/thinkfleet-engine --skill toolchain-python

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,875 B
  • docs SUMMARY.md 106 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

Python Toolchain

Common commands for Python projects.

Virtual environments

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
# Poetry
poetry install
poetry shell
poetry add requests
poetry add --group dev pytest
# uv (fast)
uv venv
uv pip install -r requirements.txt
uv pip install requests

Testing

# pytest
python3 -m pytest
python3 -m pytest -v --tb=short
python3 -m pytest tests/test_api.py -k "test_login"
python3 -m pytest --cov=src --cov-report=term-missing

# unittest
python3 -m unittest discover -s tests

Linting & formatting

# Ruff (fast, replaces flake8+isort+black)
ruff check .
ruff check --fix .
ruff format .

# Black
black .

# Mypy (type checking)
mypy src/

Running

python3 src/main.py
python3 -m mypackage

# Flask
flask run --debug

# Django
python3 manage.py runserver
python3 manage.py migrate
python3 manage.py createsuperuser

Debugging

python3 -m pdb src/main.py         # PDB debugger
python3 -c "import sys; print(sys.version)"
python3 -c "import pkg; print(pkg.__version__)"

Packaging

pip install build
python3 -m build                    # Build wheel + sdist
pip install -e .                    # Editable install

Dependencies

pip list --outdated
pip freeze > requirements.txt
pip-audit                           # Security audit

Notes

  • Check for pyproject.toml, setup.py, or requirements.txt to understand project structure.
  • Prefer virtual environments to avoid global package conflicts.
  • Use python3 explicitly (not python) for portability.