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FastAPI Python

pormindrally·mindrally· v1.0.0 · atualizado em 2026-04-10
83
Score

Expert in FastAPI Python development with best practices for APIs and async operations

fastapipythonapi-developmentbackend-developmentasync-programmingpydanticdependency-injection
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Documento do Skill

SKILL.mdfastapi-python/workflow
1. Define API endpoints and data models using Pydantic.
2. Implement routes using `async def` for asynchronous operations.
3. Implement error handling with `HTTPException`.
4. Use dependency injection for managing dependencies.
5. Implement middleware for logging and monitoring.
6. Optimize performance with caching and lazy loading.
7. Write unit tests to ensure code quality.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

FastAPI Python
fastapi-python
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.RECOMMEND
5.ACT
6.REFLECT
Triggers8
develop a FastAPI applicationcreate a Python backend with FastAPIbuild an asynchronous API using FastAPIimplement best practices for FastAPI developmentoptimize FastAPI application performanceuse Pydantic models for data validation in FastAPIhandle errors in a FastAPI applicationstructure a FastAPI project

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download fastapi-python
$ synaptic skills detail fastapi-python
$ synaptic skills live fastapi-python

Dependências

FastAPIasyncpgaiomysql

Links

GitHub Repository