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CloudFormation Best Practices Guide

cloudformation-best-practices

sickn33/antigravity-awesome-skills

This skill serves as an expert guide for writing, reviewing, and optimizing AWS CloudFormation templates. It covers foundational best practices, including utilizing parameterized environments, implementing nested stacks, managing stateful resources with deletion policies, and ensuring production-grade infrastructure consistency. Use it when building robust and maintainable Infrastructure as Code (IaC) for AWS.

Cloudfront Distribution Setup

cloudfront-distribution-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates AWS CloudFront distribution setup with step-by-step guidance, production-ready configurations, and validation against best practices for compute, storage, networking, and serverless workloads.

Executive Strategy Advisor

alirezarezvani/claude-skills

Guides CEOs through strategic planning, capital allocation, culture shaping, and stakeholder leadership with frameworks for board prep, fundraising, and crisis thinking in fast-moving organizations.

CLIP Vision-Language Toolkit

Orchestra-Research/AI-Research-SKILLs

CLIP enables general-purpose vision-language tasks through zero-shot image classification, similarity scoring, semantic search, and content moderation using pretrained contrastive embeddings without fine-tuning.

AI-Powered Code Review Specialist

code-review-ai-ai-review

sickn33/antigravity-awesome-skills

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

Technical Debt Analysis And Remediation

codebase-cleanup-tech-debt

sickn33/antigravity-awesome-skills

A comprehensive expert system for analyzing software codebases to identify, quantify, and prioritize technical debt across various dimensions (code, architecture, testing, infrastructure). It provides detailed metrics, impact assessments (development velocity, quality loss), and actionable, prioritized remediation roadmaps with clear ROI projections.

Debugging CodeRabbit Configuration Issues

coderabbit-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive troubleshooting guide for diagnosing and fixing common operational and configuration issues with the CodeRabbit PR review bot. Use this guide when reviews fail to post, scope is incorrect, comments are excessive, or configurations are ignored. It covers steps for checking GitHub permissions, YAML syntax, and advanced bot interaction commands.

Tuning Code Review Quality with AI

coderabbit-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This skill guides users on fine-tuning CodeRabbit's review quality. It teaches the AI agent team preferences through PR feedback, integrates custom code guidelines (e.g., security policies), allows customization of the review tone, and implements path filters to drastically reduce false positives and noise. This ensures that all code feedback is highly relevant, actionable, and aligns with specific team standards.

CodeRabbit Cost and Usage Optimization

coderabbit-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing costs associated with AI code review tools like CodeRabbit. Learn strategies for right-sizing seat allocation, scoping services to high-value repositories, and implementing granular file filters to minimize unnecessary AI processing and billing overhead. Essential for managing SaaS spend in a DevOps environment.

Setting Up CodeRabbit AI Code Review

coderabbit-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a step-by-step walkthrough for setting up automated AI code reviews using CodeRabbit. It covers creating the necessary `.coderabbit.yaml` configuration file, defining path-specific instructions, triggering reviews via Pull Requests (PRs), and interacting with the feedback using PR comments or the local CLI. Essential for integrating quality gates into CI/CD workflows.

Automating CodeRabbit Reviews with GitHub API

coderabbit-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This pattern demonstrates how to automate workflows around CodeRabbit reviews. By utilizing GitHub API, TypeScript, and Bash scripting, users can programmatically fetch review results, extract detailed line-level comments, trigger specific CodeRabbit actions (like 'summary' or 'resolve'), and implement CI/CD gates to enforce quality standards before merging.

AI Code Review and Changelog Generator

sickn33/antigravity-awesome-skills

This skill provides professional, AI-powered code review, integrated with Codex AI. It is designed to ensure high code quality before commits, automatically generate comprehensive CHANGELOGs, and assist in managing large-scale refactoring projects efficiently.

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