Designing Python Apis
CheckedGenerates clean, well-documented Python APIs based on specifications, optimizing for maintainability and testability.
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 wdm0006/python-skills --skill designing-python-apis -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
wdm0006
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 wdm0006/python-skills at 954796b7fc.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 954796b7fc
- Scanned
- 3 files, 630 lines
About this skill
What it does
This skill enables AI agents to design Python APIs, focusing on clear interfaces and maintainable code. It can generate API specifications based on natural language descriptions, create basic API endpoints with appropriate request handling, and suggest improvements for existing API designs. The agent will produce well-structured Python code adhering to common best practices.
When to use it
- Rapid prototyping: Quickly generate a basic API structure for a new project without extensive manual coding.
- API refactoring: Get suggestions on how to improve the design and clarity of an existing API.
- Code generation from specifications: Translate high-level descriptions into functional Python API code.
- Learning best practices: See examples of well-designed APIs and learn about common patterns.
Key capabilities
- Generates API specifications from natural language.
- Creates basic API endpoints with request handling.
- Suggests improvements to existing API designs.
- Produces Python code adhering to best practices.
Example prompts
- "Design a simple REST API for managing books, including endpoints for creating, reading, updating, and deleting."
- "I have this existing API endpoint; can you suggest ways to improve its design?"
- "Generate an OpenAPI specification for an API that allows users to upload images and retrieve their metadata."
Tips & gotchas
The agent’s output is a starting point. Review the generated code carefully, especially for complex logic or security considerations. A basic understanding of Python and RESTful APIs will help you effectively utilize this skill.