python-packagingDeep Python packaging workflow—pyproject metadata, dependencies and optional extras, build backends, wheels, versioning, publishing, and CI release hygiene....
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clawdbot install codekungfu/python-packagingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 5, 2026
A developer wants to distribute a command-line tool written in Python to a wide audience. The Python Packaging skill guides through src layout, entry points, and build backends to create installable wheels, then uses PyPI trusted publishing for secure deployment.
A team maintains multiple Python packages within a single repository. The skill helps set up independent pyproject.toml files, coordinate dependency versions, and avoid dependency hell by using lockfiles for applications and loose pins for libraries.
A data science team needs to automate testing and publishing of a machine learning library to an internal index. The skill provides a six-stage workflow including cibuildwheel for cross-platform wheels and OIDC-based publishing in CI.
A researcher develops a Python package with Cython or C extensions targeting multiple OSes. The skill recommends cibuildwheel and manylinux standards, ensuring reproducible builds and consistent artifacts across platforms.
A startup modernizes its Python packaging from setup.py to pyproject.toml with PEP 621 metadata. The skill covers metadata fields, entry points, and license SPDX identifiers, making the project PyPI-ready and easier to maintain.
Offer a hosted private PyPI index with features like dependency scanning, license compliance checks, and role-based access. Revenue comes from subscription tiers based on storage and user count.
Provide expert services to help companies set up professional Python packaging workflows, including monorepo management, automated releases, and secure publishing practices. Charge project-based or retainer fees.
Develop online courses or workshops teaching deep Python packaging, from beginner to advanced topics like trusted publishing and cross-platform builds. Revenue from course sales and corporate training contracts.
💬 Integration Tip
Implement the six-stage workflow incrementally, starting from project layout and metadata, then gradually add build backends, versioning, and CI publishing. Use TestPyPI to validate the entire pipeline before going live.
Scored May 5, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
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Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.