FlorianBruniaux / claude-code-ultimate-guide

The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.

andkret / Cookbook

The Data Engineering Cookbook

AvdLee / SwiftUI-Agent-Skill

Add expert SwiftUI Best Practices guidance to your AI coding tool (Agent Skills open format).

it235 / multica-best-practices

Copy. Paste. Run. — Production-tested Agent · Skill · Squad templates for Multica, bilingual (Chinese/English)

recommenders-team / recommenders

Best Practices on Recommendation Systems

kedro-org / kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

ansible / ansible-lint

ansible-lint checks playbooks for practices and behavior that could potentially be improved and can fix some of the most common ones for you

aws-powertools / powertools-lambda-python

A developer toolkit to implement Serverless best practices and increase developer velocity.

fastapi-practices / fastapi-best-architecture

Enterprise-level backend architecture solution with fastapi、sqlalchemy,、celery、pydantic、grafana、docker...

aws / aws-eks-best-practices

A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.

palantir / pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

Azure-Samples / chat-with-your-data-solution-accelerator

A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

braintrustdata / autoevals

AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.

aws-samples / hardeneks

Runs checks to see if an EKS cluster follows EKS Best Practices.

johnthagen / python-blueprint

🗺️ Example Python project using best practices 🐍 https://github.com/johnthagen/python-blueprint

ran-isenberg / aws-lambda-handler-cookbook

This repository provides a working, deployable, open source-based, serverless service blueprint with an AWS Lambda function and AWS CDK Python code with all the best practices and a complete CI/CD pipeline.

dereknguyen269 / programing-best-practices

Awesome Programming Best Practices for Beginners

PaulDuvall / ai-development-patterns

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

mlcommons / ck

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

aws-samples / service-screener-v2

A tool for customers to evaluate their AWS service configurations based on AWS and community best practices and receive recommendations on potential improvements.

wemake-services / django-test-migrations

Test django schema and data migrations, including migrations' order and best practices.

nova452 / Rebalance-Pack

A set of evolving nodes that streamline the best use practices in ComfyUI.

global-fde / awesome-fde-resources

A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.

wsvincent / django-skills

Unofficial Django skills based on Django docs and community best-practices

justxor / python-primery-koda-2026

Примеры кода на Python 2026: лучшие практики, разбор примеров, Python 3.14, asyncio, FastAPI, pytest, задачи с решениями на русском

jordanhubbard / literate-ai

A meta-harness for coding agents to follow proper Software Development Lifecycle practices. Can also write code from specs. Based on literate programming ideas from Donald Knuth