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fastapi-backend-overview
Overview and guidelines for FastAPI 3-layer architecture with async SQLAlchemy, Pydantic v2, and best practices
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Search results for “FastAPI”
Skills matching the name, description or GitHub author.
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fastapi-entity
Create a new entity with model, schemas, repository, service, router, dependencies, and filters
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GitHub
fastapi-core-schemas
Create Pydantic v2 base schemas for request validation and response serialization in FastAPI
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GitHub
fastapi-logging
Configure structured JSON logging with correlation IDs and request context for FastAPI
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GitHub
fastapi-entity
Create a new entity with model, schemas, repository, service, router, dependencies, and filters
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GitHub
fastapi-core-schemas
Create Pydantic v2 base schemas for request validation and response serialization in FastAPI
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GitHub
fastapi-logging
Configure structured JSON logging with correlation IDs and request context for FastAPI
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GitHub
fastapi-project-setup
Initialize FastAPI project with uv, pyproject.toml, ruff configuration, and environment files
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GitHub
fastapi-project-setup
Initialize FastAPI project with uv, pyproject.toml, ruff configuration, and environment files
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GitHub
fastapi-postgres-repository
Implement PostgreSQL repository with bulk upsert, soft delete filtering, and fastapi-pagination/filter integration
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GitHub
fastapi-postgres-repository
Implement PostgreSQL repository with bulk upsert, soft delete filtering, and fastapi-pagination/filter integration
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GitHub
fastapi-alembic-setup
Configure Alembic for async SQLAlchemy migrations with PostgreSQL
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GitHub
fastapi-alembic-setup
Configure Alembic for async SQLAlchemy migrations with PostgreSQL
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GitHub
fastapi-background-tasks
This skill should be used when the user asks to "create background task", "add async job", "implement task queue", "schedule periodic task", "use Celery", "use ARQ", "process async", or mentions background proc...
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GitHub
fastapi-patterns
FastAPI best practices, Pydantic models, SQLAlchemy ORM, async patterns, dependency injection, and JWT authentication. Activate for FastAPI apps, async Python APIs, API design, and modern Python web services.
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GitHub
fastapi-observability
This skill should be used when the user asks to "add logging", "implement metrics", "add tracing", "configure Prometheus", "setup OpenTelemetry", "add health checks", "monitor API", or mentions observability, A...
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GitHub
fastapi-real-time-features
This skill should be used when the user asks to "add WebSocket", "implement real-time", "create file upload", "add S3 upload", "send email", "implement notifications", "broadcast events", or mentions WebSockets...
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GitHub
keycloak-fastapi-integration
This skill should be used when the user asks to "add Keycloak authentication", "implement OIDC", "configure SSO", "validate JWT token", "add role-based access", "protect API endpoint", or mentions Keycloak, OAu...
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GitHub
fastapi-patterns
This skill should be used when the user asks to "create a FastAPI endpoint", "add async route", "implement dependency injection", "create middleware", "handle exceptions", "structure FastAPI project", or mentio...
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GitHub
fastapi
FastAPI development including async endpoints, Pydantic models, dependency injection, and OpenAPI documentation. Activate for FastAPI apps, async Python APIs, and modern Python web services.
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GitHub
fastapi-kubernetes-deployment
This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", o...
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GitHub
beanie-odm
This skill should be used when the user asks to "create MongoDB model", "define Beanie document", "write MongoDB query", "create aggregation pipeline", "run database migration", "index MongoDB collection", or m...
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GitHub
fastapi-caching
This skill should be used when the user asks to "add caching", "implement Redis cache", "cache API response", "invalidate cache", "add cache layer", "optimize with caching", or mentions Redis, caching strategie...
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GitHub
kieran-python-reviewer
Use this agent when you need to review Python code changes with an extremely high quality bar. This agent should be invoked after implementing features, modifying existing code, or creating new Python modules....
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