## Command Syntax Standardization - Fix lowercase "superclaude" → "SuperClaude" in installation.md - Distinguish between terminal commands (SuperClaude install) and Claude Code commands (/sc:*) - Add clear command context headers to all major documentation files ## Documentation Improvements - Add command reference tables to key guides - Create visual distinction markers (🖥️ Terminal vs 💬 Claude Code) - Update verification sections with proper command separation - Fix content duplications in Developer-Guide and Getting-Started files ## Cross-Reference Updates - Standardize all documentation links to use Docs/ prefix structure - Replace invalid email addresses with anton.knoery@gmail.com - Remove non-existent team references from security documentation ## Files Enhanced - Getting-Started: installation.md, quick-start.md with command clarity - User-Guide: commands.md with comprehensive command context - Reference: troubleshooting.md, common-issues.md with mixed command support - Root files: README.md, CONTRIBUTING.md, SECURITY.md link updates This resolves command confusion between installation (terminal) and development (/sc:) commands. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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SuperClaude PyPI Publishing Guide
SuperClaude Framework is published to PyPI as a Python package with automated CI/CD workflows for testing, validation, and release management. The publishing process includes comprehensive testing, security validation, and multi-platform compatibility verification.
Publishing Workflow Overview:
- Development: Feature development with comprehensive testing
- Version Management: Semantic versioning and changelog updates
- Pre-Publication Testing: TestPyPI validation and integration testing
- Quality Gates: Security scanning, dependency validation, cross-platform testing
- Production Release: PyPI publication with automated distribution
- Post-Release: GitHub release creation, documentation updates, community notification
Package Distribution:
- Primary: PyPI (pip install SuperClaude)
- Alternative: npm (npm install -g superclaude) for Node.js environments
- Development: Direct GitHub installation for contributors and testers
🚀 Quick Start
For Maintainers (Production Publishing):
# 1. Prepare release
python scripts/validate_pypi_ready.py
git tag v4.0.1
git push origin v4.0.1
# 2. GitHub Actions handles the rest automatically
# - Builds package
# - Tests on multiple platforms
# - Publishes to PyPI
# - Creates GitHub release
For Contributors (Testing):
# 1. Local development testing
pip install -e ".[dev]"
python -m pytest tests/
# 2. Package validation
python scripts/validate_pypi_ready.py
# 3. TestPyPI testing (maintainers only)
python -m build
twine upload --repository testpypi dist/*
For Users (Installation):
# Production installation
pip install SuperClaude
# Development version
pip install git+https://github.com/SuperClaude-Org/SuperClaude_Framework.git
# Specific version
pip install SuperClaude==4.0.0
Automated Release Process:
- Git tag creation triggers GitHub Actions workflow
- Automated testing across Python 3.8-3.12 and multiple OS platforms
- Security scanning and dependency validation
- Automatic PyPI publication on successful validation
- GitHub release creation with changelog and artifacts
📋 Prerequisites
PyPI Account Setup:
Account Requirements:
- PyPI account: https://pypi.org/account/register/
- Two-factor authentication enabled (required for package maintenance)
- Project maintainer access to SuperClaude package
- TestPyPI account: https://test.pypi.org/ (for testing)
API Token Configuration:
For GitHub Actions (Maintainers):
# Generate PyPI API token with SuperClaude package scope
# Add to GitHub repository secrets as PYPI_API_TOKEN
# Token format: pypi-AgEIcHl... (scoped to SuperClaude package)
For Local Publishing (Emergency Only):
# Create ~/.pypirc file (never commit this)
[distutils]
index-servers = pypi testpypi
[pypi]
username = __token__
password = pypi-AgEIcHl...
[testpypi]
repository = https://test.pypi.org/legacy/
username = __token__
password = pypi-AgEIcHl...
Security Best Practices:
- Use scoped API tokens (package-specific, not account-wide)
- Rotate tokens regularly (quarterly recommended)
- Never commit tokens or credentials to version control
- Use GitHub secrets for automated workflows
- Enable PyPI security notifications
Permission Management:
- Maintainer-level access required for publishing
- Owner permissions for critical package configuration
- Trusted publisher configuration for GitHub Actions (recommended)
- Regular review of package collaborator access Development Environment Setup:
Python Environment:
# Python 3.8+ required
python3 --version
# Create virtual environment
python -m venv venv
source venv/bin/activate # Linux/macOS
# For Windows: venv\Scripts\activate
# Install development dependencies
pip install -e ".[dev]"
Required Tools:
# Core publishing tools
pip install build twine wheel
# Development and testing tools
pip install pytest pytest-cov black flake8 mypy
# Security scanning
pip install safety bandit
Local Configuration:
# Verify package structure
python scripts/validate_pypi_ready.py
# Build package locally
python -m build
# Verify package contents
twine check dist/*
# Local installation test
pip install dist/SuperClaude-*.whl
Git Configuration:
# Configure for release tagging
git config user.name "Your Name"
git config user.email "your.email@example.com"
# GPG signing (recommended for releases)
git config commit.gpgsign true
git config tag.gpgsign true
IDE Setup:
- Configure Python interpreter to use virtual environment
- Enable linting and formatting tools (black, flake8, mypy)
- Set up testing framework integration
- Configure Git integration for commit signing Core Publishing Dependencies:
- build: Modern Python package building (PEP 517/518)
- twine: Secure package uploading to PyPI
- wheel: Binary distribution format support
- setuptools: Package metadata and entry point management
Development Dependencies:
- pytest: Testing framework with comprehensive coverage
- pytest-cov: Code coverage analysis and reporting
- black: Code formatting for consistent style
- flake8: Linting and style checking
- mypy: Static type checking and validation
Security Dependencies:
- safety: Dependency vulnerability scanning
- bandit: Security linting for Python code
- pip-audit: Comprehensive dependency security analysis
- twine: Secure upload with signature verification
CI/CD Dependencies:
- GitHub Actions: Automated testing and deployment
- tox: Multi-environment testing automation
- coverage: Test coverage measurement and reporting
- codecov: Coverage reporting and integration
Optional Tools:
- bumpversion: Automated version management
- changelog-generator: Automated changelog creation
- pre-commit: Git hook automation for quality gates
- sphinx: Documentation generation (if needed)
Platform Requirements:
- Python: 3.8, 3.9, 3.10, 3.11, 3.12 (tested compatibility)
- Operating Systems: Linux, macOS, Windows (cross-platform testing)
- Architecture: x86_64, ARM64 (multi-architecture support)
- Dependencies: Minimal external dependencies for broad compatibility
📦 Package Information
Package Information:
Package Name: SuperClaude
Current Version: 4.0.0 (Major release with v4 architecture)
PyPI URL: https://pypi.org/project/SuperClaude/
GitHub URL: https://github.com/SuperClaude-Org/SuperClaude_Framework
Entry Points:
[console_scripts]
SuperClaude = superclaude.cli:main
superclaude = superclaude.cli:main # Alternative entry point
Package Structure:
SuperClaude/
├── superclaude/ # Main package code
│ ├── __init__.py # Package initialization and version
│ ├── cli.py # Command-line interface
│ ├── core/ # Core framework functionality
│ ├── setup/ # Installation and component management
│ └── utils/ # Utility functions and helpers
├── setup.py # Package configuration and metadata
├── pyproject.toml # Modern Python packaging configuration
├── README.md # Package description for PyPI
├── CHANGELOG.md # Version history and release notes
└── requirements.txt # Runtime dependencies
Metadata:
- Author: SuperClaude Organization
- License: MIT License
- Python Requires: >=3.8
- Classifiers: Development Status :: 5 - Production/Stable
- Keywords: claude, ai, development, automation, mcp, agents
🔧 Available Scripts
Publishing Scripts:
scripts/validate_pypi_ready.py
# Comprehensive pre-publication validation
python scripts/validate_pypi_ready.py
# Validates:
# - Package structure and metadata
# - Version consistency across files
# - Dependency compatibility
# - Entry point functionality
# - Security scanning results
# - Cross-platform compatibility
scripts/build_package.py
# Clean build process with validation
python scripts/build_package.py
# Features:
# - Clean previous builds
# - Generate wheel and source distributions
# - Validate package contents
# - Test installation locally
scripts/test_installation.py
# Test package installation in clean environment
python scripts/test_installation.py
# Tests:
# - Fresh virtual environment installation
# - Entry point functionality
# - Core component functionality
# - Dependency resolution
Manual Commands:
# Build package manually
python -m build
# Upload to TestPyPI
twine upload --repository testpypi dist/*
# Upload to PyPI (production)
twine upload dist/*
# Clean build artifacts
rm -rf build/ dist/ *.egg-info/
GitHub Actions Integration:
- Automated Testing: Multi-platform validation on pull requests
- Release Workflow: Triggered by git tag creation
- Security Scanning: Dependency and code security validation
- Cross-Platform Testing: Linux, macOS, Windows compatibility verification
🤖 GitHub Actions Automation
GitHub Actions Workflows:
.github/workflows/test.yml (Pull Request Testing)
# Triggered on: Pull requests, pushes to main
# Tests: Python 3.8-3.12, Linux/macOS/Windows
# Steps: Linting, testing, coverage, security scanning
.github/workflows/publish.yml (Release Publishing)
# Triggered on: Git tag creation (v*.*.*)
# Steps:
# 1. Multi-platform testing
# 2. Security validation
# 3. Package building
# 4. PyPI publication
# 5. GitHub release creation
Required GitHub Secrets:
- PYPI_API_TOKEN: PyPI API token for package publishing
- CODECOV_TOKEN: Code coverage reporting integration
- GPG_PRIVATE_KEY: Optional GPG signing for releases
Workflow Configuration:
# Release workflow trigger
git tag v4.0.1
git push origin v4.0.1
# GitHub Actions automatically:
# - Runs comprehensive test suite
# - Validates package integrity
# - Publishes to PyPI
# - Creates GitHub release with changelog
Manual Workflow Triggers:
- Repository Dispatch: Manual workflow triggering for emergency releases
- Workflow Dispatch: Manual testing and validation workflows
- Schedule: Nightly dependency security scanning
Status Checks:
- Required Checks: All tests pass, security scan clean, coverage threshold met
- Branch Protection: Main branch protected with required status checks
- Deployment Protection: Production deployment requires maintainer approval
📈 Version Management
Version Scheme (Semantic Versioning):
Format: MAJOR.MINOR.PATCH (e.g., 4.0.0)
- MAJOR: Breaking changes, architectural updates, incompatible API changes
- MINOR: New features, agent additions, MCP server integrations, backward-compatible changes
- PATCH: Bug fixes, documentation updates, security patches, backward-compatible fixes
Current Version: 4.0.0
- Major architectural update with enhanced agent coordination
- 6 MCP server integrations and 13 specialized agents
- Comprehensive command system with 21 slash commands
Version Update Process:
1. Version Planning:
# Review changes since last release
git log v3.5.0..HEAD --oneline
# Determine version increment based on changes
# Breaking changes → MAJOR
# New features → MINOR
# Bug fixes only → PATCH
2. Version Updates:
# Update version in multiple files:
# - superclaude/__init__.py
# - setup.py
# - pyproject.toml
# - CHANGELOG.md
# Validate version consistency
python scripts/validate_pypi_ready.py
3. Release Creation:
# Create and push git tag
git tag -a v4.0.1 -m "Release v4.0.1: Bug fixes and stability improvements"
git push origin v4.0.1
# GitHub Actions handles automated publishing
Pre-release Versions:
- Alpha: 4.1.0a1 (early development, unstable)
- Beta: 4.1.0b1 (feature complete, testing phase)
- Release Candidate: 4.1.0rc1 (production candidate, final testing) Version Validation Checklist:
Pre-Release Validation:
# 1. Version consistency check
python scripts/validate_pypi_ready.py
# 2. Verify version in all files matches
grep -r "4\.0\.0" superclaude/ setup.py pyproject.toml
# 3. Changelog validation
# Ensure CHANGELOG.md includes version with release date and changes
# 4. Dependency validation
pip-compile requirements.in
safety check
Git Tagging Workflow:
# 1. Ensure clean working directory
git status
git pull origin main
# 2. Create annotated tag with release notes
git tag -a v4.0.1 -m "Release v4.0.1
Bug Fixes:
- Fixed MCP server connection timeout
- Resolved agent coordination race condition
Improvements:
- Enhanced error messaging for command validation
- Updated documentation for best practices"
# 3. Push tag to trigger release
git push origin v4.0.1
Tag Validation:
# Verify tag creation
git tag -l "v4.0.*"
git show v4.0.1
# Verify tag signature (if GPG signing enabled)
git tag -v v4.0.1
Automated Validation:
- GitHub Actions: Triggered automatically on tag push
- Tests: Full test suite across multiple Python versions and platforms
- Security: Dependency scanning and vulnerability assessment
- Package: Build validation and installation testing
🔍 Package Structure
PyPI Package Structure:
Source Distribution Contents:
SuperClaude-4.0.0.tar.gz
├── superclaude/
│ ├── __init__.py # Version and package metadata
│ ├── cli.py # Main CLI entry point
│ ├── core/
│ │ ├── __init__.py
│ │ ├── agent_manager.py # Agent coordination logic
│ │ ├── command_parser.py # Command parsing and routing
│ │ └── session_manager.py # Session persistence
│ ├── setup/
│ │ ├── __init__.py
│ │ ├── installer.py # Component installation
│ │ ├── components/ # Component definitions
│ │ └── validators.py # Installation validation
│ └── utils/
│ ├── __init__.py
│ ├── file_utils.py # File system utilities
│ └── logging_utils.py # Logging configuration
├── setup.py # Package setup configuration
├── pyproject.toml # Modern packaging configuration
├── README.md # PyPI package description
├── LICENSE # MIT license text
├── CHANGELOG.md # Version history
├── requirements.txt # Runtime dependencies
└── PKG-INFO # Package metadata
Wheel Distribution:
SuperClaude-4.0.0-py3-none-any.whl
├── superclaude/ # Compiled package code
├── SuperClaude-4.0.0.dist-info/ # Package metadata
│ ├── METADATA # Package description and requirements
│ ├── WHEEL # Wheel format metadata
│ ├── entry_points.txt # CLI entry points
│ └── LICENSE # License information
Entry Points Configuration:
[console_scripts]
SuperClaude = superclaude.cli:main
superclaude = superclaude.cli:main
Package Dependencies:
- Runtime: Minimal dependencies for broad compatibility
- Development: Extended toolchain for contributors
- Optional: MCP server dependencies installed as needed
🧪 Testing
Local Testing Procedures:
Package Build Testing:
# 1. Clean environment setup
rm -rf build/ dist/ *.egg-info/
python -m venv test_env
source test_env/bin/activate
# 2. Build package
python -m build
# 3. Validate package contents
twine check dist/*
tar -tzf dist/SuperClaude-*.tar.gz | head -20
# 4. Local installation test
pip install dist/SuperClaude-*.whl
SuperClaude --version
SuperClaude install --dry-run
TestPyPI Testing (Maintainers):
# 1. Upload to TestPyPI
twine upload --repository testpypi dist/*
# 2. Test installation from TestPyPI
pip install --index-url https://test.pypi.org/simple/ SuperClaude
# 3. Functional testing
SuperClaude install --list-components
SuperClaude --help
# 4. Clean up test environment
pip uninstall SuperClaude
Cross-Platform Testing:
# Docker-based testing for Linux environments
docker run -v $(pwd):/app python:3.9 /bin/bash -c "
cd /app &&
pip install dist/SuperClaude-*.whl &&
SuperClaude --version
"
# Virtual machine testing for Windows/macOS
# Manual testing on target platforms
Integration Testing:
# Test with real Claude Code environment
claude --version
SuperClaude install --components core
# Verify slash commands work: /sc:help
🚨 Troubleshooting
Common Publishing Issues:
Build Failures:
# Issue: "No module named 'setuptools'"
# Solution: Update setuptools
pip install --upgrade setuptools wheel
# Issue: "error: Microsoft Visual C++ 14.0 is required"
# Solution: Install Visual Studio Build Tools (Windows)
# Or use wheel distribution instead of source
# Issue: "Permission denied" during build
# Solution: Check file permissions and virtual environment
chmod -R u+w build/ dist/
Upload Failures:
# Issue: "403 Forbidden" during upload
# Solution: Verify API token and package permissions
twine upload --username __token__ --password pypi-... dist/*
# Issue: "Package already exists"
# Solution: Version already published, increment version
# Check: https://pypi.org/project/SuperClaude/
# Issue: "File already exists"
# Solution: Clean dist/ directory and rebuild
rm -rf dist/ && python -m build
Installation Issues:
# Issue: "No matching distribution found"
# Solution: Check Python version compatibility
python --version # Must be 3.8+
# Issue: "Command 'SuperClaude' not found"
# Solution: Check PATH and entry points
pip show -f SuperClaude | grep console_scripts
which SuperClaude
GitHub Actions Failures:
# Issue: "PYPI_API_TOKEN not found"
# Solution: Configure repository secrets
# GitHub Settings → Secrets → Add PYPI_API_TOKEN
# Issue: "Tag validation failed"
# Solution: Ensure tag follows semver pattern
git tag -d v4.0.0 && git tag v4.0.0
Publishing Support Resources:
Documentation:
- Python Packaging Guide - Official Python packaging documentation
- PyPI Help - PyPI-specific guidance and troubleshooting
- Twine Documentation - Secure package uploading
- GitHub Actions Documentation - CI/CD automation
SuperClaude-Specific Support:
- GitHub Issues: https://github.com/SuperClaude-Org/SuperClaude_Framework/issues
- Maintainer Contact: For urgent publishing issues
- Community Discussions: General publishing questions and experiences
- Documentation: Contributing Guide for development setup
Emergency Publishing: For critical security patches or urgent fixes:
- Contact maintainers directly for expedited review
- Use emergency publishing workflow with manual approval
- Follow security advisory process for vulnerability patches
Community Resources:
- Python Packaging Discord: Real-time help with packaging issues
- PyPA GitHub: Python Packaging Authority resources and discussions
- Stack Overflow: Tag questions with 'python-packaging' and 'pypi'
- Reddit r/Python: Community discussion and troubleshooting
Professional Support: For organizations requiring dedicated packaging support:
- Custom CI/CD pipeline development
- Enterprise PyPI mirror setup
- Private package repository configuration
- Compliance and security validation automation
📊 Publication Checklist
Pre-Publication Checklist:
Code Quality:
- All tests pass locally and in CI
- Code coverage meets minimum threshold (>90%)
- Linting and formatting checks pass (black, flake8, mypy)
- Security scanning clean (bandit, safety)
- No critical TODO items or debugging code
Package Validation:
- Version updated in all relevant files (__init__.py, setup.py, pyproject.toml)
- CHANGELOG.md updated with release notes and date
- Package builds successfully (
python -m build) - Package contents validated (
twine check dist/*) - Entry points functional (
SuperClaude --version)
Documentation:
- README.md updated with new features and changes
- API documentation reflects current functionality
- Installation instructions tested and accurate
- Breaking changes clearly documented with migration guide
Testing:
- Local installation test successful
- TestPyPI upload and installation successful
- Cross-platform compatibility verified (Linux, macOS, Windows)
- Integration testing with Claude Code environment
- MCP server integrations functional
Security:
- Dependency vulnerabilities resolved
- API tokens and secrets properly configured
- No sensitive information in package or repository
- GPG signatures enabled for release tags (if applicable)
Release Management:
- Git tag created with proper semantic version
- GitHub Actions workflow configured and tested
- Release notes prepared for GitHub release
- Community notification plan prepared
🎯 Production Publishing
Production Publishing Options:
Option 1: Automated GitHub Actions (Recommended)
# Create release tag
git tag -a v4.0.1 -m "Release v4.0.1: Bug fixes and improvements"
git push origin v4.0.1
# GitHub Actions automatically:
# 1. Runs full test suite
# 2. Validates package integrity
# 3. Publishes to PyPI
# 4. Creates GitHub release
Option 2: Manual Publishing (Emergency Only)
# 1. Validate and build
python scripts/validate_pypi_ready.py
python -m build
# 2. Upload to PyPI
twine upload dist/*
# 3. Create GitHub release manually
gh release create v4.0.1 --title "v4.0.1" --notes-file CHANGELOG.md
Recommended Workflow:
1. Pre-Release (Development)
- Feature development with comprehensive testing
- Version planning and changelog preparation
- TestPyPI validation for complex changes
2. Release Preparation
- Final version update and validation
- Documentation review and updates
- Security scanning and dependency audit
3. Production Release
- Git tag creation triggers automated workflow
- Monitoring of GitHub Actions progress
- Verification of PyPI publication success
4. Post-Release
- GitHub release creation with changelog
- Community notification (social media, forums)
- Documentation updates and link validation
Release Cadence:
- Major Releases: Quarterly (significant features, breaking changes)
- Minor Releases: Monthly (new features, agents, MCP servers)
- Patch Releases: As needed (bug fixes, security patches)
- Hotfixes: Emergency releases for critical issues
🔐 Security Best Practices
API Token Security:
Token Management:
- Use package-scoped tokens (not account-wide) for PyPI publishing
- Rotate tokens quarterly or after any security incident
- Store tokens only in GitHub repository secrets, never in code
- Enable two-factor authentication on PyPI account
GitHub Secrets Configuration:
# Required secrets for automated publishing:
PYPI_API_TOKEN # PyPI publishing token (scoped to SuperClaude)
CODECOV_TOKEN # Code coverage reporting
GPG_PRIVATE_KEY # Optional: GPG signing for releases
GPG_PASSPHRASE # Optional: GPG key passphrase
Token Scope Configuration:
- Project Scope: Limited to SuperClaude package only
- Permission Level: Upload permissions only (not management)
- Expiration: Set reasonable expiration dates (1 year maximum)
- Audit Trail: Regular review of token usage and access logs
Credential Protection:
# Never store credentials in:
# - Source code or configuration files
# - Shell history or scripts
# - Documentation or comments
# - Temporary files or logs
# Use secure storage:
# - GitHub repository secrets
# - Environment variables (local development)
# - Secure credential managers (keyring, etc.)
Security Monitoring:
- Enable PyPI security notifications for package changes
- Monitor GitHub Actions logs for credential usage
- Regular audit of repository access and collaborator permissions
- Automated alerts for unauthorized publishing attempts
Incident Response:
- Immediately revoke compromised tokens
- Generate new tokens with updated scope
- Review recent package releases for unauthorized changes
- Notify community of security incidents affecting package integrity
📝 Post-Publication
Post-Publication Tasks:
Immediate Verification (Within 1 hour):
# 1. Verify PyPI publication
curl -s https://pypi.org/pypi/SuperClaude/json | jq '.info.version'
# 2. Test installation from PyPI
pip install SuperClaude==4.0.1
SuperClaude --version
# 3. Verify entry points functional
SuperClaude install --list-components
GitHub Release Management:
# 1. GitHub release created automatically by Actions
# 2. Verify release notes and changelog accuracy
# 3. Upload additional assets if needed (documentation, etc.)
# 4. Pin release for major versions
# Manual release creation (if automated fails):
gh release create v4.0.1 \
--title "SuperClaude v4.0.1" \
--notes-file CHANGELOG.md \
--latest
Community Notification:
- GitHub Discussions: Announce release with highlights and breaking changes
- Social Media: Share release announcement with key features
- Documentation: Update installation guides with new version numbers
- Issue Tracking: Close resolved issues and update project boards
Documentation Updates:
- Verify documentation links work with new version
- Update version references in installation guides
- Refresh example commands and outputs
- Update compatibility matrices and requirements
Monitoring and Support:
- Monitor GitHub issues for installation problems
- Watch PyPI download statistics and user feedback
- Respond to community questions about new features
- Track adoption and usage patterns for future development
Release Follow-up (Within 1 week):
- Analyze download statistics and adoption metrics
- Collect community feedback and feature requests
- Plan next release cycle based on feedback and roadmap
- Update project roadmap and documentation priorities
Publishing Support Contacts:
Primary Maintainers:
- GitHub: @SuperClaude-Org maintainer team
- Issues: https://github.com/SuperClaude-Org/SuperClaude_Framework/issues
- Email: anton.knoery@gmail.com (for urgent publishing issues)
Specific Support Areas:
PyPI Publishing Issues:
- GitHub Issues with
publishinglabel - Include: version, platform, error messages, steps to reproduce
- Response time: 24-48 hours for critical publishing failures
GitHub Actions / CI/CD:
- Workflow failures and automation issues
- Repository configuration and secrets management
- Cross-platform testing and validation problems
Package Distribution:
- Installation failures and dependency conflicts
- Entry point and command-line interface issues
- Cross-platform compatibility problems
Security-Related Publishing:
- Security token management and rotation
- Vulnerability disclosure and patch releases
- Secure publishing workflow configuration
Emergency Contacts: For critical security patches or urgent publishing needs:
- Security: anton.knoery@gmail.com
- Direct: Maintainer contact information provided upon first contact
- Priority: Use
urgentlabel on GitHub issues for expedited response
Self-Service Resources: Before contacting support:
- Review this publishing guide thoroughly
- Check Troubleshooting documentation
- Search existing GitHub issues for similar problems
- Test with latest versions and clean environments