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Enhance your virtual agents with pre-built skills that allow them to interact more effectively and intelligently in various scenarios. This resource provides tools and examples to streamline the development process for creating smarter, more capable agents.

A comprehensive collection of skills designed to enhance the performance of agent systems, focusing on effective context management for building, optimizing, or debugging these systems. It provides practical tools for developers to improve multi-agent architectures and production environments.

Agent-trace helps users monitor and analyze the behavior of software agents. It provides insights into how these agents interact with their environment, making it easier to optimize their performance and troubleshoot issues.

An HTTP API enables seamless interaction with various AI models like Claude Code, Goose, Aider, Gemini, Amp, and Codex, simplifying the integration of their capabilities into applications. This repository provides a straightforward way for developers to access and utilize these advanced AI functionalities.

AgentCPM provides a comprehensive framework for training and assessing different language model agents. It simplifies the process of developing and evaluating these agents, making it easier for users to create effective AI-driven solutions.

Create AI agents from scratch with this repository, providing practical guidance and resources for building intelligent systems that can perform a variety of tasks. It focuses on making AI development accessible and straightforward, allowing users to understand and implement AI concepts effectively.