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Full-Stack Project Architecture and Guidelines

project-guidelines-example

A comprehensive template providing best practices for full-stack development. It covers detailed architecture design, optimal file structures for Next.js and FastAPI, standard code patterns (e.g., API responses, custom hooks), and integration guidance for modern AI services, ensuring scalable and maintainable applications.

Genomic DNA Sequence Prediction

genomic-intelligence

K-Dense-AI/scientific-agent-skills

Predict promoters, splice sites, enhancers, chromatin state, expression, and gene annotation from DNA sequences via hosted transformer models and a REST or MCP API.

OpenMed REST API for Clinical NLP Services

serving-openmed-rest-api

maziyarpanahi/openmed

Provides a hardened FastAPI endpoint for OpenMed's core functionalities: clinical Named Entity Recognition (NER), Personally Identifiable Information (PII) extraction, and de-identification. Designed for self-hosted microservices, it handles inference requests, model lifecycle management, and supports dynamic batching, ensuring secure, on-device processing of sensitive clinical data.

Azure Cosmos DB Python Services

azure-cosmos-db-py

sickn33/agentic-awesome-skills

Build production-grade Azure Cosmos DB NoSQL services in Python using clean architecture, secure authentication, TDD patterns, and FastAPI integration.

Azure Monitor OpenTelemetry Python

azure-monitor-opentelemetry-py

sickn33/agentic-awesome-skills

One-line setup of Azure Monitor Application Insights for Python apps using OpenTelemetry auto-instrumentation. Covers Flask, Django, FastAPI, custom traces, metrics, logs, sampling, and AAD auth.

Project Architecture Guidelines Template

cc-skill-project-guidelines-example

sickn33/agentic-awesome-skills

This skill provides a template for creating project-specific guidelines based on production applications. It includes architecture overviews, file structures, code patterns, testing requirements, and deployment workflows. Ideal for standardizing development practices across teams using technologies like Next.js, FastAPI, and AI integrations.

FastAPI High-Performance API Development

sickn33/agentic-awesome-skills

Master building high-performance asynchronous APIs using FastAPI, SQLAlchemy 2.0, and Pydantic V2. Covers microservices, WebSockets, security, testing, and deployment strategies for production-ready Python backend systems. Includes async patterns, database optimization, and observability.

FastAPI Router Template Creation

fastapi-router-py

sickn33/agentic-awesome-skills

This skill generates FastAPI router templates with authentication, response models, and HTTP status codes. It helps developers create standardized backend endpoints quickly by replacing placeholders for resource names and implementing security patterns.

FastAPI Project Templates

fastapi-templates

sickn33/agentic-awesome-skills

Build production-ready FastAPI projects with async patterns, dependency injection, middleware, and error handling. Ideal for new Python REST APIs, microservices, and high-performance web backends.

Brazilian Auctioneers Data

junta-leiloeiros

sickn33/agentic-awesome-skills

Aggregates official auctioneer information from all 27 Brazilian Commercial Boards into a SQLite store, exposes a FastAPI REST interface, and enables CSV/JSON exports plus customizable scraping per state.

Python Project Architecture Scaffolding

python-development

sickn33/agentic-awesome-skills

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.

Python Project Scaffolding Generator

python-development-python-scaffold

sickn33/agentic-awesome-skills

This skill acts as an expert architect to generate complete, production-ready Python project structures. It supports various modern architectures, including FastAPI, Django (full-stack), standalone libraries, and CLI tools. It ensures adherence to best practices, includes dependency management (uv, pip), type hinting, and comprehensive testing skeletons.

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