What problem does it solve? Releasing a multi-package Python SDK involves error-prone manual steps: version bumps across packages, TestPyPI validation, wheel building, CI pipeline configuration, and Git tagging. This Skill encodes the full release runbook so releases follow a consistent, verified procedure instead of ad-hoc memory. ## Core Features & Use Cases - PyPI Release Runbook: Step-by-step procedures for version consistency checks, TestPyPI validation, dependency-ordered publishing, and rollback via yanking. - CI/CD Pipeline Patterns: GitHub Actions templates for test matrices, multi-platform wheel builds (including maturin/Rust), tag-triggered publishing with OIDC trusted publishers, and documentation deployment. - Git & GitHub Workflows: Branching strategies, conventional commit formats, PR templates, issue/project board management, and todo-to-GitHub issue synchronization. - Use Case: When preparing to release kailash v0.9.26, invoke this Skill to verify version consistency across all sub-packages, run the pre-release checklist, tag the release, and let CI publish wheels to PyPI in dependency order. ## Quick Start Ask the AI to walk you through releasing version X.Y.Z of your Python package to PyPI using the release runbook.