Python Fastapi 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.
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terminal$ npx skills add neversight/learn-skills.dev --skill python-fastapi-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
neversight
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Install target
Live repository
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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.
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SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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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.
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Scanned neversight/skills_feed at 58220bbac4.
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- Commit
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- Scanned
- 6 files, 195 lines
About this skill
What it does
This skill enables AI agents to leverage FastAPI, a modern, fast (high-performance), web framework for building APIs with Python. It provides structured patterns and best practices for creating robust and efficient backend services using FastAPI, including data validation, serialization, and API documentation generation. The skill aims to streamline the development process and improve code quality when building Python-based APIs.
When to use it
- Building a RESTful API: You need to create an API endpoint for your application that handles requests and responses in a standardized format (e.g., JSON).
- Data Validation & Serialization: You want to ensure the data received by your API is valid and can be easily converted into different formats.
- Automated API Documentation: You require automatically generated documentation (like OpenAPI/Swagger) for your API, making it easier for others to understand and use.
- Rapid Prototyping: You need a quick way to build and test backend functionality before integrating it into a larger system.
Key capabilities
- FastAPI framework integration
- Data validation using Pydantic
- Automatic API documentation generation (OpenAPI)
- Serialization/deserialization of data
- Structured code patterns for API development
Example prompts
- "Create a FastAPI endpoint to handle user registration with email and password validation."
- "Generate OpenAPI documentation for my existing FastAPI application."
- "Build a simple API that returns a list of products in JSON format."
Tips & gotchas
- Requires Python 3.7 or higher to be installed on the environment where the agent is running.
- Familiarity with basic Python programming concepts will improve your ability to utilize this skill effectively.