Programming
- Updated May 7, 2026
- CHENyiru3/AI-Skills-Collections
programming is an agent skill that routes you through seven Python library sub-skills for setup, quality, testing, docs, CLI, Jupyter, and performance.
About
programming is a Prism skills-market meta entry for Python library development. It does not replace deep SKILL.md content in each child path; it orients developers and small teams toward the right sub-skill for project setup, testing, packaging, performance, security-minded habits, and public API design. Install it when you want one hook that fans out to CLI development, code quality, documentation, Jupyter workflows, performance tuning, and testing strategy under./programming/python/*. Use it early in a new package repo and again before releases when you need consistent agent guidance across backend structure, test gates, and docs—without hunting unrelated Python snippets.
- Meta bundle routing to seven Python paths: CLI, code-quality, documentation, Jupyter, performance, project-setup, testin
- Spans project setup, testing strategy, packaging, performance, security, and API design for libraries
- Non-strict collection—pick sub-skills à la carte for your repo stage
- Sourced from skills-market/programming for agent-driven Python maintenance
- Pairs setup and quality skills before performance and release hardening
Programming by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Last updated | May 7, 2026 |
|---|---|
| Repository | CHENyiru3/AI-Skills-Collections ↗ |
What it does
Navigate a curated stack of Python library skills for setup, quality, tests, docs, CLI, Jupyter, and performance in one place.
Who is it for?
Best when you're maintaining an open-source or internal Python package with Claude Code, Cursor, or Codex.
Skip if: One-off scripts, Django-only web apps, or teams that want a single monolithic SKILL.md instead of a routed collection.
When should I use this skill?
Python library development—project setup, testing, packaging, performance, security habits, or API design—with routing to specialized child skills.
What you get
You invoke the right child skill path for each library milestone—from scaffold and tests to docs and performance—without rebuilding guidance from scratch.
- Chosen child-skill workflow applied to your repo (setup, tests, or docs)
- Clear next step among the seven Python paths in the collection
By the numbers
- 7 Python sub-skill paths under ./programming/python/
- Collection manifest lists cli-development, code-quality, documentation, jupyter, performance, project-setup, testing-str
Files
Python library development — project setup, testing, packaging, performance, security, API design
programming
Source: ./skills-market/programming
{ "name": "programming", "skills": [ "./programming/python/cli-development", "./programming/python/code-quality", "./programming/python/documentation", "./programming/python/jupyter", "./programming/python/performance", "./programming/python/project-setup", "./programming/python/testing-strategy" ], "source": "./skills-market/programming", "strict": false, "description": "Python library development — project setup, testing, packaging, performance, security, API design" }
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A meta router over focused Python library skills—not a single end-to-end codegen template.
FAQ
Who is programming for?
Python authors and maintainers who want agent skills for library structure, testing, documentation, CLI tools, notebooks, and performance.
When should I use programming?
Use it at repo bootstrap and before releases: pick project-setup in Build, testing-strategy in Ship, documentation in Build docs, and performance when profiling hot paths.
Is programming safe to install?
Child skills may request shell, git, or network during tests and packaging—review the Security Audits panel on this page and each sub-skill before running in CI or production repos.