FastAPI

FastAPI is an AI Engineering skill for Claude Code, published by ReflexioAI in claude-smart.

771 stars85 forkson ReflexioAI/claude-smartAdded 2026/08/23Repository updated 2026/08/17

agent-memoryai-agent-memoryai-agentsclaudeclaude-codeclaude-code-plugincodexcodex-pluginlocal-firstmemoryopencodeopencode-pluginself-improvementself-improving-ai

Install in seconds

Install FastAPI

Copy FastAPI into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/ReflexioAI/claude-smart/tree/main/.agents/skills/fastapi ~/.claude/skills/fastapi

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ReflexioAI/claude-smart.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .agents/skills/fastapi/SKILL.md in ReflexioAI/claude-smart
Installs to: ~/.claude/skills/fastapi
Collection: One of 13 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What FastAPI does

FastAPI best practices and conventions for writing or refactoring FastAPI endpoints and Pydantic models. Use it to keep API code current with newer FastAPI patterns and safe response modeling.

FastAPI is cataloged under AI Engineering on DirSkills. FastAPI comes from a repository tagged agent-memory, ai-agent-memory, ai-agents, claude and claude-code.

Documentation

README

Excerpt

FastAPI

Official FastAPI skill to write code with best practices, keeping up to date with new versions and features.

Project note: This project starts the server via ./run_services.sh (uvicorn), not fastapi dev. The patterns below still apply to all endpoint/model code.

Use the `fastapi` CLI

Run the development server on localhost with reload:

fastapi dev

Run the production server:

fastapi run

Add an entrypoint in `pyproject.toml`

FastAPI CLI will read the entrypoint in pyproject.toml to know where the FastAPI app is declared.

[tool.fastapi]
entrypoint = "my_app.main:app"

Use `fastapi` with a path

This is the opening of the README. Read the full README on GitHub.

Frequently asked about FastAPI

What else does ReflexioAI publish alongside FastAPI?
FastAPI is one of 13 skills that DirSkills catalogs from ReflexioAI/claude-smart, the repository it ships in. Its siblings there include Agent Browser, Check And Test and Claude Smart. Each one is a separate skill with its own page in this directory, installs the same way FastAPI does, and is maintained by ReflexioAI in that same repository. The rest of the collection is listed on the ReflexioAI/claude-smart page.
How does FastAPI compare to other AI Engineering skills?
FastAPI ranks #1644 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of FastAPI against them. Open each page to compare what they document and how they install.