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CodeRabbit Setup and Integration Guide

coderabbit-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide on installing and configuring CodeRabbit AI, an advanced AI-powered code review platform. Learn how to integrate CodeRabbit into your GitHub or GitLab repositories via App installation, CLI setup, and YAML configuration. Use this guide when setting up the service for the first time or connecting it to new repositories to ensure automated, high-quality code reviews on every pull request.

Color Palette Curator

davepoon/buildwithclaude

Helps designers explore trending Coolors palettes, capture hex codes, and map selections into Tailwind configs or curated fallbacks when the browser is unavailable, ensuring contrast and role guidance for frontend themes.

Auto Scaling Policy Setup

configuring-auto-scaling-policies

jeremylongshore/claude-code-plugins-plus-skills

Generates production-ready auto-scaling configurations for apps and infrastructure, covering Kubernetes HPAs and scaling policies so you can handle load spikes, enforce high availability, and keep resource usage efficient.

Confluence Automation Toolkit

confluence-automation

davepoon/buildwithclaude

Automates Confluence page creation, updates, searches, space management, labels, and hierarchy navigation through Rube MCP (Composio), enabling teams to script documentation workflows, honor workspace schemas from RUBE_SEARCH_TOOLS, and keep content consistent.

Constitutional AI Safety

constitutional-ai

Orchestra-Research/AI-Research-SKILLs

Guides setting up Constitutional AI by combining self-critique SL with RLAIF training to align generative models without human labels and reduce harmful outputs in systems like Claude.

Collaborative Content Research

content-research-writer

ComposioHQ/awesome-claude-skills

Acts as a collaborative writing partner, helping you build outlines, research with citations, improve hooks, and review each section so blogs, tutorials, thought leadership, and docs get polished without losing your voice.

Context Engineering For LLMs

context-fundamentals

sickn33/antigravity-awesome-skills

A comprehensive guide to understanding the complete state (context) available to Large Language Models during inference. Covers core components like System Prompts, Tool Definitions, Message History, and Retrieval Augmented Generation (RAG). Learning to engineer context is crucial for building robust, efficient, and reliable AI agent systems by managing the attention budget and ensuring high-signal information delivery.

Dynamic Context Management and Orchestration

context-manager

sickn33/antigravity-awesome-skills

An expert system for designing and implementing advanced AI context architectures. It specializes in integrating intelligent memory systems, vector databases, and knowledge graphs to ensure AI applications maintain coherent, relevant, and scalable state across complex, multi-agent workflows. Essential for enterprise RAG implementation and stateful AI development.

Core Component Design System Implementation

core-components

sickn33/antigravity-awesome-skills

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.

Intelligent Alerting Rule Builder

creating-alerting-rules

jeremylongshore/claude-code-plugins-plus-skills

Automates intelligent alert rule creation for SREs and DevOps, guiding through thresholds, routing, escalation, and runbooks to monitor latency, error rates, throughput, resource use, availability, and SLO violations.

CrewAI Multi-Agent Architect

sickn33/antigravity-awesome-skills

Designs and orchestrates role-based multi-agent workflows with CrewAI, defining agent personas, tasks, processes, and memory to run complex structured collaborations and planning pipelines.

CrewAI Multi-Agent Orchestration

crewai-multi-agent

Orchestra-Research/AI-Research-SKILLs

CrewAI orchestrates autonomous multi-agent teams for role-based collaboration, sequential or hierarchical workflows, and production-grade orchestration with memory and tool integrations without LangChain.

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