Skill · em Construir backend e dados

fastapi-endpoint

Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, authentication method, pagination strategy, and caching before writing any code.

Procedência

Antes de instalar

1 arquivo · 15,2 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/fastapi-endpoint/.

d=".claude/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/fastapi-endpoint/.

d="$HOME/.claude/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/fastapi-endpoint/.

d=".agents/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/fastapi-endpoint/.

d="$HOME/.agents/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/fastapi-endpoint/.

d=".agents/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/fastapi-endpoint/.

d="$HOME/.gemini/antigravity-cli/skills/fastapi-endpoint"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/web-development/fastapi-endpoint"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.fastapi-endpoint

Prévia do SKILL.md

---
name: fastapi-endpoint
description: Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, authentication method, pagination strategy, and caching before writing any code.
tags: [fastapi, python, api, async, pydantic, sqlalchemy, backend]
---

# FastAPI Endpoint Builder

## When to use

Use this skill when you need to:

- Add new API endpoints to an existing FastAPI project
- Build CRUD operations with proper validation and error handling
- Set up authenticated endpoints with dependency injection
- Create async database queries with SQLAlchemy 2.0
- Generate complete test coverage for API routes

## Phase 1: Explore (Plan Mode)

Enter plan mode. Before writing any code, explore the existing project to understand:

### Project structure
- Find the FastAPI app entry point (`main.py`, `app.py`, or `app/__init__.py`)
- Identify the router organization pattern (single file vs `routers/` directory)
- Check for existing `models/`, `schemas/`, `crud/`, or `services/` directories
- Look at `pyproject.toml` or `requirements.txt` for installed dependencies

### Existing patterns
- How are existing endpoints structured? (function-based vs class-based)
- What ORM is used? (SQLAlchemy 2.0 async, Tortoise, raw SQL, none)
- How is the database session managed? (`Depends(get_db)`, middleware, other)
- What auth pattern exists? (OAuth2PasswordBearer, API key header, custom)
- Are there existing Pydantic base models or shared schemas?
- What response format is standard? (direct model, wrapped `{"data": ..., "meta": ...}`)

### Test patterns
- Where do tests live? (`tests/`, `test_*.py`, `*_test.py`)
- What test client is used? (httpx AsyncClient, TestClient, pytest-asyncio)
- Are there test fixtures for database and auth?
…

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