Open source alternatives to python-design-patterns
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
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opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
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andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
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microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
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od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
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About python-design-patterns
python-design-patterns
Fundamental design principles for writing maintainable, testable Python code
python-design-patterns is an agent skill from the wshobson/agents collection that sets out fundamental design principles for writing maintainable, testable Python code. It covers five core ideas: KISS, or keeping things simple by choosing the simplest solution that works and justifying any extra complexity with real requirements; the Single Responsibility Principle, which gives each module or class one clear job; Separation of Concerns, which keeps different kinds of work, such as data access, business rules and presentation, apart; Composition Over Inheritance, which builds behavior by combining parts rather than by deep class hierarchies; and the Rule of Three, which waits until a pattern has appeared three times before abstracting it. The skill includes practical code examples that contrast anti-patterns with better versions, so the difference is visible in code. It applies when designing new components or services, refactoring complex or tangled code, deciding whether to create an abstraction, choosing between inheritance and composition, evaluating code complexity and coupling, and planning modular architectures. The principles are judgment aids rather than rules to apply mechanically, so the agent uses them to weigh a design against the code and requirements in front of it. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 22.4K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/python-design-patterns