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.
Python Patterns, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add eyadsibai/ltk --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
eyadsibai
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 eyadsibai/ltk at f8e85697b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f8e85697b9
- Scanned
- 1 file, 122 lines
About this skill
What it does
This skill provides access to a collection of common and useful Python design patterns. It enables AI agents to write more structured, maintainable, and efficient code by applying established solutions to recurring programming problems. The skill offers pre-implemented pattern examples and guidance on when and how to use them effectively.
When to use it
- Refactoring existing Python code for improved readability and structure.
- Developing new Python applications or modules where design patterns can enhance maintainability.
- Learning about common Python programming practices and best practices.
- Generating boilerplate code based on established pattern implementations.
Key capabilities
- Provides examples of various Python design patterns.
- Offers guidance on when to apply specific patterns.
- Supports code generation using pattern-based templates.
- Promotes writing more maintainable and efficient Python code.
Example prompts
- "Show me an example of the Singleton pattern in Python."
- "Generate a factory function for creating different types of database connections."
- "How can I use the Observer pattern to implement real-time updates?"
Tips & gotchas
This skill assumes basic familiarity with Python programming concepts. While it provides examples, understanding the underlying principles of each design pattern is crucial for effective application.