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Multi-Agent System Architecture Designer

alirezarezvani/claude-skills

A comprehensive toolkit for designing, architecting, and evaluating complex multi-agent systems. It provides structured patterns—including Supervisor, Swarm, and Pipeline—for system architecture, defines agent roles (Coordinator, Specialist), and covers best practices for communication (Event Sourcing, Message Passing), tool design, and safety guardrails, ensuring robust and scalable AI workflows.

Autonomous AI Agent Workflow Platform

Orchestra-Research/AI-Research-SKILLs

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

Autonomous AI Agent Workflow Platform

Orchestra-Research/AI-Research-SKILLs

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

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.

Crypto BD Agent Patterns

crypto-bd-agent

sickn33/antigravity-awesome-skills

Provides production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges, covering multi-source intelligence, 100-point scoring, wallet forensics, outreach pipelines, micropayment orchestration, and ERC-8004 registration.

Declarative LM Systems

Orchestra-Research/AI-Research-SKILLs

DSPy lets you declaratively program complex language model systems, assemble modular RAG/agent pipelines, and optimize prompts and modules automatically for reliable LM-driven apps.

Google Cloud Agent SDK

google-cloud-agent-sdk-master

jeremylongshore/claude-code-plugins-plus-skills

Master Google Cloud’s Agent Development Kit and Starter Pack to build containerized multi-agent systems, automate RAG workflows, and deploy production-ready agents via Cloud Run, GKE, Agent Engine, or CI/CD pipelines.

LangChain Architecture Guide

langchain-architecture

sickn33/antigravity-awesome-skills

Comprehensive guide to LangChain architecture, covering agent patterns, chains, memory, document pipelines, and callbacks for building production-ready LLM applications that integrate tools and data sources.

LlamaIndex Data Framework

Orchestra-Research/AI-Research-SKILLs

LlamaIndex is a data-centric framework for building LLM applications, offering 300+ connectors, vector indices, query engines, agents, and multimodal support to power document Q&A, chatbots, knowledge retrieval, and RAG pipelines over private data.

LLM Application Patterns

llm-app-patterns

sickn33/antigravity-awesome-skills

Provides production-ready guidance for constructing retrieval-augmented generation pipelines, agent architectures, and LLMOps best practices, so teams can reliably deploy context-aware AI assistants with vector search, embeddings, and tool use.

RetellAI Architecture Blueprints

retellai-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides selecting and implementing Retell AI architecture blueprints from single webhook servers to event-driven voice pipelines, helping teams match scale, latency budgets, and state management when building or migrating voice agent integrations.

Voice Agent Architect

sickn33/antigravity-awesome-skills

Consults on building production-scale voice agents by balancing speech-to-speech latency and pipeline control, ensuring conversational naturalness through latency budgeting, barge-in handling, and voice activity detection.

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