Python package installation from source
Use when when you need to verify a Python package installs successfully from a cloned or local repository, validate that all tests pass after installation, or prepare a development environment for contributing to the package.From its SKILL.md
npx -y skills add HolobiomicsLab/asb-skill-collections --skill python-package-installation-from-sourceAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its file declares
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SKILL.md
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python-package-installation-from-source
Summary
Install a Python package directly from its source repository in development mode, with optional dev dependencies, to enable local testing and modification. This skill is essential for validating that a package builds correctly, its test suite passes, and the codebase is functional before contributing or deploying.
When to use
When you need to verify a Python package installs successfully from a cloned or local repository, validate that all tests pass after installation, or prepare a development environment for contributing to the package. Use this when the package is not yet published to PyPI, you need bleeding-edge changes, or you must confirm the CI/CD test workflow works locally.
When NOT to use
- Package is already installed from PyPI and you only need to run it (not develop or modify it).
- Repository has no tests or a broken test suite with known failures unrelated to your changes.
- You are in a read-only environment or production deployment (use stable PyPI releases instead).
Inputs
- Python package source repository (git clone or local directory)
- pyproject.toml or setup.py with dev dependencies defined
- tests/ directory containing pytest test suite
Outputs
- Installed Python package in editable/development mode
- pytest test report (pass/fail for all tests)
- confirmation that package is importable and functional
How to apply
Clone or navigate to the package repository root directory. Install the package in development (editable) mode using pip install -e .[dev] to load source code directly and include development dependencies (typically pytest, code formatters like black, and linting tools). After installation, run the full test suite using pytest tests/ to verify all unit tests pass. Check for a GitHub Actions CI workflow badge or CI configuration (e.g., test-biosynfoni.yml) to confirm the expected test targets. Development installation allows you to modify source code and immediately test changes without reinstalling; success is confirmed when all pytest tests pass without errors.
Related tools
- pip (Package manager used to install the package in editable mode with optional dev dependencies via
pip install -e .[dev]) - pytest (Test runner used to execute the complete test suite on the tests/ directory via
pytest tests/) - black (Code formatter recommended for formatting source code before committing changes (invoked pre-submission, optional during dev installation)) — https://github.com/psf/black
- biosynfoni (Example package demonstrating the skill; provides CI workflow reference and dev dependency structure) — https://github.com/lucinamay/biosynfoni
Examples
pip install -e .[dev] && pytest tests/
Evaluation signals
- pip install exits with status 0 and package appears in site-packages or .eggs (confirm with
pip show <package>orpython -c 'import <package>'). - pytest runs without import errors and discovers all tests in tests/ directory.
- All tests pass with 0 failures, 0 errors (pytest output shows '... passed' with no red X marks).
- Package is importable immediately after install:
python -c 'from biosynfoni import Biosynfoni'succeeds. - GitHub Actions CI workflow badge (e.g., Tests badge in README) shows passing status, confirming same test suite passes in CI.
Limitations
- Development installation requires write access to the repository directory and may conflict with system-wide Python packages if virtual environments are not used.
- No changelog or version history was found in the biosynfoni repository, making it difficult to track which commits or tags correspond to tested versions.
- Platform-specific dependencies (e.g., RDKit compiled binaries) may fail on certain OS/architecture combinations despite successful local installation elsewhere.
- Dev dependencies must be explicitly defined in pyproject.toml or setup.py; if missing or incomplete, tests may fail due to unmet imports.
Evidence
- [other] Install the package in development mode using pip with dev dependencies via
pip install -e .[dev].: "Install the package in development mode using pip with dev dependencies viapip install -e .[dev]." - [other] Execute the complete test suite using pytest on the tests/ directory with
pytest tests/.: "Execute the complete test suite using pytest on the tests/ directory withpytest tests/." - [other] The biosynfoni package has a GitHub Actions CI workflow that runs tests, as indicated by the Tests badge displayed in the repository.: "The biosynfoni package has a GitHub Actions CI workflow that runs tests, as indicated by the Tests badge displayed in the repository."
- [other] Run the following command from the root of the project to install the project for development: "Run the following command from the root of the project to install the project for development"
- [other] You can also run the tests locally with the following command: "You can also run the tests locally with the following command"
- [readme] Biosynfoni requires Python 3.9 or later. RDKit is installed as a dependency when installing Biosynfoni.: "Biosynfoni requires Python 3.9 or later. RDKit is installed as a dependency when installing Biosynfoni."
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.