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Python Patterns

Checked
davila7·vlatest·backend·MIT

Helps with Python, patterns as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill python-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/development/python-patterns/SKILL.md
Scanned
1 file, 406 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

Python Patterns Library

What it does

This skill provides a curated collection of reusable code patterns specifically designed for Python development. It enables AI agents to generate consistent, idiomatic solutions for common backend challenges without reinventing logic.

When to use it

  • Standardizing error handling and logging across multiple microservices.
  • Generating database migration scripts that follow established project conventions.
  • Creating utility functions for data validation and transformation pipelines.
  • Implementing authentication flows using proven security patterns.

Key capabilities

  • Access to a library of pre-defined Python code templates.
  • Support for backend-specific architectural patterns.
  • Facilitates rapid prototyping by reducing boilerplate code generation.
  • Ensures consistency in coding style and structure within teams.

Example prompts

  • "Generate a Flask route handler using the authentication pattern from the library."
  • "Create a data validation function following the established utility patterns."
  • "Write a database migration script that adheres to the project's standard conventions."

Tips & gotchas

Ensure your AI agent has access to the specific Python version requirements defined in the source templates. While these patterns streamline development, always review generated code for context-specific edge cases before deployment.