fastapi-to-skill 0.1.4

Convert FastAPI apps and OpenAPI specs into CLI tools and AI agent skills (SKILL.md)

fastapi-to-skill

Convert any FastAPI app or OpenAPI spec into a CLI + SKILL.md for AI agents — in one command.

pip install fastapi-to-skill
fastapi-to-skill generate main:app -o ./skills/myapi/

---

The Problem

A year ago, APIs served frontends. Developers read docs, learned the UI, wrote integration code.

Now APIs serve AI agents. And agents don't read docs — they read skill files.

If your product has no SKILL.md, agents can't discover it, can't use it, and will use a competitor that does have one.

The new distribution channel is not the App Store. It's the agent skill registry.

---

The Solution

fastapi-to-skill takes your existing FastAPI app (or any OpenAPI spec) and generates everything an AI agent needs to use your API:

Output	What it is
cli.py	Standalone Typer CLI — one command per endpoint, no deps on this tool
SKILL.md	Universal skill file for Claude Code, OpenClaw, and any Agent Skills-compatible platform
openapi.json	Copy of the spec for reference
pyproject.toml	Install the CLI as a named command (pip install -e .)

No MCP server. No AI costs. No infrastructure. Just files.

---

Why FastAPI?

FastAPI auto-generates an OpenAPI spec from your Python type hints. You write:

@app.post("/tasks")
def create_task(task: Task) -> TaskOut:
    ...

FastAPI gives you a full API contract for free — endpoints, parameters, request bodies, types, auth schemes. Always in sync with your code. No manual YAML.

fastapi-to-skill reads that spec with one call to app.openapi() and turns it into agent-ready tools. The whole pipeline is: your type hints → OpenAPI spec → CLI + SKILL.md.

Big thanks to @sebastianramirez for building FastAPI + Typer — an ecosystem where this kind of tooling is possible in a weekend.

---

Quick Start

Install

pip install fastapi-to-skill
# or for global CLI tools (recommended)
pipx install fastapi-to-skill

Generate from a FastAPI app

# main.py
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(title="Task Manager API")

class Task(BaseModel):
    title: str
    done: bool = False

@app.post("/tasks")
def create_task(task: Task):
    ...

@app.get("/tasks/{task_id}")
def get_task(task_id: int):
    ...

fastapi-to-skill generate main:app -o ./skills/task-manager/

Output:

skills/task-manager/
├── cli.py          ← standalone CLI
├── SKILL.md        ← agent skill file
├── openapi.json    ← spec copy
└── pyproject.toml  ← install as named command

Install and use the generated CLI

cd skills/task-manager/
pip install -e .

# Run without a command — shows SKILL.md (AI-friendly)
task-manager-api

# List all commands
task-manager-api --help

# See body schema for any command
task-manager-api create-task --help
# Body fields:
#   title: string (required)
#   done: boolean  default: False

# Call the API
task-manager-api create-task --body '{"title": "Ship the feature"}'
task-manager-api get-task 1
task-manager-api list-tasks --done false

# Search commands by keyword
task-manager-api search "task"

Generate from an OpenAPI spec file

fastapi-to-skill generate --spec openapi.json -o ./skills/myapi/
fastapi-to-skill generate --spec openapi.yaml -o ./skills/myapi/

Choose target platform

# Claude Code (default)
fastapi-to-skill generate main:app -t claude-code

# OpenClaw
fastapi-to-skill generate main:app -t openclaw

Other options

# Preview without writing files
fastapi-to-skill generate main:app --dry-run

# Validate spec only
fastapi-to-skill generate main:app --validate

# Override base URL
fastapi-to-skill generate main:app --base-url https://api.myapp.com

---

Authentication

Set your credentials via environment variables before calling any command:

# API key
export MYAPI_API_KEY="sk-your-key"

# Bearer token
export MYAPI_TOKEN="your-token"

# Custom base URL
export MYAPI_BASE_URL="https://api.myapp.com"

The env var prefix is derived from your API title automatically.

---

How the SKILL.md works

When an AI agent encounters your CLI, it runs:

task-manager-api          # reads SKILL.md, understands the API
task-manager-api --help   # sees all available commands
task-manager-api create-task --help  # sees body schema

No human needed. The agent discovers capabilities, reads the contract, and starts calling commands.

The SKILL.md follows the Agent Skills open standard — compatible with Claude Code, OpenClaw, and any platform that supports it.

---

License

MIT

---

Built on FastAPI + Typer by Sebastian Ramirez.