Python Patterns
CheckedHelps with Python, patterns as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add peopleforrester/claude-dotfiles --skill python-patterns -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
peopleforrester
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned peopleforrester/claude-dotfiles at db7caa0374.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- db7caa0374
- Scanned
- 1 file, 166 lines
About this skill
What it does
This skill provides access to a collection of Python code patterns and snippets designed for common backend development tasks. It allows the AI agent to generate, understand, and apply these patterns to improve code quality and efficiency. The skill focuses on providing reusable solutions rather than generating entire applications from scratch.
When to use it
- Generating boilerplate code for new projects or modules.
- Refactoring existing Python code to adhere to best practices.
- Understanding common design patterns in Python development.
- Creating unit tests and documentation for Python functions.
- Automating repetitive coding tasks within a Python environment.
Key capabilities
- Access to curated Python code patterns.
- Code generation based on specified patterns.
- Code refactoring suggestions.
- Unit test creation assistance.
- Documentation generation support.
Example prompts
- "Generate a Python function for validating email addresses using a common pattern."
- "Refactor this Python code to use the Singleton design pattern."
- "Create unit tests for this Python class, following best practices."
Tips & gotchas
The skill requires a basic understanding of Python programming concepts and design patterns. While it can generate code snippets, users should review and adapt them based on their specific needs and context.