Fastapi Api Patterns
ListedHelps with API, 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 vanman2024/ai-dev-marketplace --skill fastapi-api-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
vanman2024
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: cdn.jsdelivr.net, editor.swagger.io.
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.
Hosts contacted
cdn.jsdelivr.netundeclarededitor.swagger.ioundeclaredWhat it found
- plugins/fastapi-backend/skills/fastapi-api-patterns/scripts/generate-openapi-docs.sh:124contacts cdn.jsdelivr.net
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui.css"> - plugins/fastapi-backend/skills/fastapi-api-patterns/scripts/generate-openapi-docs.sh:128contacts cdn.jsdelivr.net
<script src="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui-bundle.js"></script> - plugins/fastapi-backend/skills/fastapi-api-patterns/scripts/generate-openapi-docs.sh:270contacts editor.swagger.io
echo " Online: https://editor.swagger.io/ (upload $OUTPUT_FILE)"
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 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 vanman2024/ai-dev-marketplace at 35f1f5a5fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 35f1f5a5fb
- Scanned
- 10 files, 3,798 lines
About this skill
What it does
This skill enables AI agents to generate code and configurations adhering to common FastAPI API design patterns. It facilitates the creation of well-structured, maintainable APIs with features like data validation using Pydantic models, automatic documentation generation via OpenAPI schemas, and dependency injection for modularity. The skill aims to improve developer productivity by automating repetitive tasks in building robust RESTful APIs.
When to use it
- Rapid API Prototyping: Quickly generate a basic FastAPI application structure with endpoints and data models for initial testing and demonstration purposes.
- Standardized Backend Development: Enforce consistent coding standards and architectural patterns across multiple API projects within an organization.
- Automated Code Generation: Reduce manual effort in creating boilerplate code for new API features or services.
- Learning FastAPI Best Practices: Serve as a learning tool to understand and implement recommended practices for building APIs with FastAPI.
Key capabilities
- Pydantic model generation
- OpenAPI schema creation
- Dependency injection implementation
- FastAPI route definition assistance
- API documentation generation
Example prompts
- "Generate a FastAPI endpoint for retrieving user data based on ID, using Pydantic for request body validation."
- "Create a basic FastAPI application with an endpoint that returns 'Hello, World!'"
- "Show me how to implement dependency injection in my FastAPI application."
Tips & gotchas
The skill assumes some familiarity with Python and the core concepts of REST APIs. While it automates many tasks, understanding the underlying principles of FastAPI will help you effectively utilize its generated code and customize it as needed.