pypi-publisher

trotsky1997's avatarfrom trotsky1997

Comprehensive guide for publishing Python packages to PyPI. Use when (1) Publishing new Python packages to PyPI, (2) Updating existing packages with new versions, (3) Troubleshooting PyPI upload errors, (4) Setting up automated publishing workflows, (5) Managing version numbers and package metadata, (6) Using API tokens for secure publishing, (7) Testing packages before production release, or any PyPI publishing tasks.

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When & Why to Use This Skill

This Claude skill provides a comprehensive, step-by-step workflow for publishing Python packages to PyPI. It streamlines the distribution process by covering critical pre-publish checklists, version management, secure API token authentication, and automated publishing scripts, ensuring a reliable and professional release cycle for Python developers.

Use Cases

  • New Package Release: Guiding developers through the initial setup, building, and first-time submission of a Python library to the official PyPI repository.
  • Automated Release Pipelines: Implementing the provided PowerShell or Bash scripts to automate testing, building, and uploading as part of a continuous delivery workflow.
  • Troubleshooting Upload Failures: Resolving common PyPI errors such as 'File already exists' (version conflicts), authentication issues, or metadata validation failures.
  • Secure Credential Management: Setting up secure publishing environments using API tokens and environment variables to replace less secure password-based authentication.
  • Pre-production Validation: Using Test PyPI to verify package integrity, metadata rendering, and installation functionality before the final production release.
namepypi-publisher
descriptionComprehensive guide for publishing Python packages to PyPI. Use when (1) Publishing new Python packages to PyPI, (2) Updating existing packages with new versions, (3) Troubleshooting PyPI upload errors, (4) Setting up automated publishing workflows, (5) Managing version numbers and package metadata, (6) Using API tokens for secure publishing, (7) Testing packages before production release, or any PyPI publishing tasks.
short-descriptionPublish Python packages to PyPI

PyPI Publisher

Complete workflow for publishing Python packages to PyPI with best practices, error handling, and automation.

Critical Pre-Publish Checklist

ALWAYS run tests before publishing. Never skip this step.

  1. Run full test suite

    python -m pytest tests/ -v --tb=short
    
    • All tests must pass
    • Check code coverage if applicable
    • Fix any failures before proceeding
  2. Verify version numbers are consistent

    • pyproject.toml: version = "X.Y.Z"
    • package/__init__.py: __version__ = "X.Y.Z"
    • Any other version references (e.g., mcp_server.py server_version)
  3. Check for uncommitted changes

    • Review git status
    • Commit or stash changes as needed
  4. Clean old build artifacts

    # Windows PowerShell
    Remove-Item -Recurse -Force dist, build, *.egg-info -ErrorAction SilentlyContinue
    
    # Linux/Mac
    rm -rf dist/ build/ *.egg-info
    

Publishing Workflow

Step 1: Build Package

uv build
# or
python -m build

Verify output:

  • dist/package-name-X.Y.Z.tar.gz (source distribution)
  • dist/package_name-X.Y.Z-py3-none-any.whl (wheel)

Step 2: Validate Package

uvx twine check dist/*

Must pass before uploading. Fix any warnings or errors.

Step 3: Choose Publishing Target

Test PyPI (recommended for first-time publishing):

uvx twine upload --repository testpypi dist/*

Production PyPI:

uvx twine upload dist/*

Step 4: Authentication

Using API Token (recommended):

Windows PowerShell:

$env:TWINE_USERNAME = "__token__"
$env:TWINE_PASSWORD = "pypi-your-api-token-here"
uvx twine upload dist/* --non-interactive

Linux/Mac:

export TWINE_USERNAME=__token__
export TWINE_PASSWORD=pypi-your-api-token-here
uvx twine upload dist/* --non-interactive

Create API Token:

  1. Go to https://pypi.org/manage/account/token/
  2. Create new token (scope: entire account or specific project)
  3. Copy token immediately (only shown once)
  4. Use as password with username __token__

Common Errors and Solutions

"File already exists" (400 Bad Request)

Cause: Version already published to PyPI.

Solution:

  1. Increment version number in pyproject.toml and __init__.py
  2. Rebuild package
  3. Upload again

Version numbering:

  • Patch: 0.1.00.1.1 (bug fixes)
  • Minor: 0.1.00.2.0 (new features, backward compatible)
  • Major: 0.1.01.0.0 (breaking changes)

"NonInteractive: Credential not found"

Cause: Missing authentication credentials.

Solution:

  • Set TWINE_USERNAME and TWINE_PASSWORD environment variables
  • Or use --non-interactive flag with credentials
  • Or create ~/.pypirc config file

"Package check failed"

Cause: Package metadata or structure issues.

Solution:

  • Run twine check dist/* to see specific errors
  • Fix metadata in pyproject.toml
  • Rebuild and check again

Import errors after publishing

Cause: Package structure or import paths incorrect.

Solution:

  • Verify [tool.hatch.build.targets.wheel] packages configuration
  • Check __init__.py files exist
  • Test local installation: pip install -e .

Automated Publishing Script

For PowerShell (Windows):

# Run tests first
python -m pytest tests/ -v --tb=short
if ($LASTEXITCODE -ne 0) {
    Write-Host "Tests failed! Aborting publish." -ForegroundColor Red
    exit 1
}

# Build
uv build
if ($LASTEXITCODE -ne 0) { exit 1 }

# Check
uvx twine check dist/*
if ($LASTEXITCODE -ne 0) { exit 1 }

# Upload (set credentials first)
$env:TWINE_USERNAME = "__token__"
$env:TWINE_PASSWORD = "your-token"
uvx twine upload dist/* --non-interactive

Version Management

Always update version in these locations:

  1. pyproject.toml: version = "X.Y.Z"
  2. package/__init__.py: __version__ = "X.Y.Z"
  3. Any hardcoded version strings in code (e.g., MCP server version)

Semantic versioning:

  • MAJOR: Breaking changes
  • MINOR: New features (backward compatible)
  • PATCH: Bug fixes

Post-Publish Verification

  1. Check PyPI page:

    https://pypi.org/project/your-package-name/X.Y.Z/
    
  2. Test installation:

    pip install your-package-name==X.Y.Z
    
  3. Verify functionality:

    • Import package
    • Run basic functionality
    • Check CLI commands work (if applicable)

Best Practices

  1. Always test before publishing

    • Run full test suite
    • Test actual package installation
    • Verify end-to-end functionality
  2. Use Test PyPI first

    • Test new publishing workflow
    • Verify package metadata
    • Catch issues before production
  3. Use API tokens, not passwords

    • More secure
    • Can be scoped to specific projects
    • Can be revoked easily
  4. Version consistently

    • Follow semantic versioning
    • Update all version references
    • Document changes in CHANGELOG
  5. Automate what you can

    • Use scripts for repetitive steps
    • Include test runs in automation
    • Add validation checks
  6. Handle errors gracefully

    • Check exit codes
    • Provide clear error messages
    • Stop on failures (don't continue with broken state)

Quick Reference

Essential commands:

# Test
python -m pytest tests/ -v

# Build
uv build

# Check
uvx twine check dist/*

# Upload (Test PyPI)
uvx twine upload --repository testpypi dist/*

# Upload (Production)
uvx twine upload dist/*

Version update locations:

  • pyproject.toml
  • package/__init__.py
  • Code files with version strings

Common file patterns:

  • dist/*.whl - Wheel distribution
  • dist/*.tar.gz - Source distribution
  • build/ - Temporary build files (can delete)
  • *.egg-info/ - Package metadata (can delete)

Automated Publishing Scripts

Pre-built scripts are available in scripts/:

  • publish.ps1 - PowerShell script for Windows

    .\publish.ps1 --test                    # Publish to Test PyPI
    .\publish.ps1 --token "pypi-xxx"        # Publish to Production with token
    
  • publish.sh - Bash script for Linux/Mac

    chmod +x publish.sh
    ./publish.sh --test                     # Publish to Test PyPI
    ./publish.sh --token "pypi-xxx"         # Publish to Production with token
    

These scripts automatically:

  • Run tests before publishing
  • Build and validate package
  • Handle authentication
  • Provide clear error messages