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Git Advanced Workflows

rohitg00/awesome-claude-code-toolkit

Documents advanced Git workflows—worktrees, bisect, interactive rebase, hooks, recovery tactics, aliases, and anti-patterns—so developers can manage parallel branches, pinpoint regressions, and enforce commit hygiene in complex repos.

Go Rod Browser Automation

sickn33/antigravity-awesome-skills

Comprehensive Go guidance for browser automation and web scraping using Rod’s direct Chrome DevTools Protocol integration plus stealth anti-detection patterns, ideal for headless SPA testing, concurrent scraping, and request interception.

Avoiding Common Kling AI API Pitfalls

klingai-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

This guide documents common mistakes, gotchas, and anti-patterns encountered during Kling AI API integration. It covers critical best practices regarding data types, token management, polling, URL persistence, and prompt engineering to ensure stable and reliable AI video generation workflows. Essential reading for robust development and troubleshooting.

Microservices Design Patterns

microservices-design

rohitg00/awesome-claude-code-toolkit

Guides designing robust microservices with service boundaries, event-driven communication, saga orchestration, API gateways, health checks, and anti-pattern awareness for resilient distributed systems.

Mobile Patterns Guide

mobile-development

rohitg00/awesome-claude-code-toolkit

Documenting React Native and Flutter patterns for building responsive, performant product lists with typed navigation, safe areas, and platform-aware styles, plus anti-patterns and checklist to keep JS threads smooth.

NoSQL Database Design and Architecture

sickn33/antigravity-awesome-skills

Expert guidance on designing highly scalable, distributed NoSQL databases, specifically covering Apache Cassandra and Amazon DynamoDB. This skill emphasizes the 'Query-First' modeling approach, teaching best practices like partitioning, denormalization, single-table design, and avoiding common anti-patterns (e.g., hot partitions, joins) to ensure optimal read/write performance at massive scale.

Perplexity API Anti-Patterns and Pitfalls

perplexity-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to identifying and avoiding common integration mistakes and anti-patterns when using the Perplexity Sonar API. It covers critical best practices such as correctly handling citations, setting maximum token limits, utilizing recency filters, and optimizing API calls to ensure cost efficiency and data accuracy. Essential for code review and developer onboarding.

Modern Python Practices

python-best-practices

rohitg00/awesome-claude-code-toolkit

Showcases modern Python practices, covering strict 3.12 type hints, dataclasses vs Pydantic decisions, asyncio/httpx patterns, src-layout projects, pyproject tool configs, virtual env workflows, and pytest guidance for reliable codebases.

Avoiding Common Replit Anti-patterns

replit-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

This guide identifies and explains common anti-patterns and critical pitfalls encountered when building applications on the Replit platform. Topics include data persistence, secret management, networking bindings, and environment configuration. Use this resource when conducting code reviews, onboarding new developers, or auditing existing Replit applications for best practices.

Fixing Common Sentry SDK Pitfalls

sentry-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

This guide identifies and provides remedies for common anti-patterns when configuring and using the Sentry SDK in production environments. It covers critical pitfalls like hardcoded DSNs, incorrect sample rate settings, and failure to flush events, ensuring data integrity, preventing cost overruns, and maintaining comprehensive monitoring coverage across various platforms.

Software Architecture Best Practices Guide

software-architecture

sickn33/antigravity-awesome-skills

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

TDD Workflow Guide

rohitg00/awesome-claude-code-toolkit

Comprehensive TDD workflow guidance covering the Red/Green/Refactor rhythm, Arrange-Act-Assert test structure, Jest/Vitest, pytest, and Go patterns, coverage rules, mocking advice, and anti-pattern warnings to keep teams disciplined across languages.

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