What frameworks does this skill support?

It supports leading AI agent frameworks including LangChain, CrewAI, AutoGen, Semantic Kernel, and LlamaIndex.

Does it help with production concerns like costs?

Absolutely. The skill includes best practices for token usage monitoring, cost control limits, and safety guardrails to prevent runaway executions.

Can I use this for multi-agent collaboration?

Yes, it provides specialized patterns for multi-agent orchestration, role-based delegation, and sequential task processing using tools like CrewAI.

How are tools integrated into the agents?

The skill provides templates for custom tool definitions using Pydantic models, LangChain BaseTools, and standard OpenAI function-calling schemas.

What agent architectures are included?

It includes implementations for ReAct (Reasoning and Acting), Plan-and-Execute, and Reflection patterns to improve agent reliability.

Agent Frameworks & Orchestration

Name: Agent Frameworks & Orchestration
Author: pluginagentmarketplace

bypluginagentmarketplace

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Data Science & ML

Develops autonomous AI agents and multi-agent systems using industry-standard frameworks like LangChain, CrewAI, and AutoGen.

About

This skill empowers Claude to architect and implement complex AI agent systems, providing domain-specific expertise in popular frameworks such as LangChain, CrewAI, and AutoGen. It covers critical implementation patterns including ReAct, Plan-and-Execute, and Reflection, while offering robust templates for tool integration, memory management, and production-ready error handling. Whether you are building a simple function-calling agent or a sophisticated multi-agent collaborative team, this skill ensures best practices for reliability, cost-efficiency, and safety are integrated into your AI engineering workflow.

Key Features

2 GitHub stars
Implementation of advanced agent patterns like ReAct, Reflection, and Plan-and-Execute
Custom tool definition and API integration for autonomous task execution
Production-grade safety guardrails, cost monitoring, and robust error handling
Comprehensive memory management strategies for context-aware agents
Multi-agent system orchestration using CrewAI and AutoGen frameworks

Use Cases

Developing enterprise-grade tools that safely interact with internal APIs and databases through function calling
Building research agents that autonomously gather and synthesize information from multiple web sources
Creating multi-agent teams with specialized roles for automated content generation and technical writing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-ai-engineer agent-frameworks

For use in Claude.ai and ChatGPT

Download Skill

GitHub