Where does the skill pull information from?

It retrieves information directly from the official AgentScope GitHub repository and your local Python environment to ensure accuracy.

AgentScope is a high-level multi-agent platform designed to simplify the building of large-scale agent applications with built-in components and flexible communication.

How does this skill help with AgentScope development?

It provides Claude with specific tools to clone the AgentScope repository, search its tutorials, browse implementation examples, and inspect its Python module structure.

Do I need to have AgentScope installed locally?

The skill includes functionality to check for the library and can prompt you to install it via pip if it's missing from your environment.

AgentScope Analyzer

Name: AgentScope Analyzer
Author: Microck

byMicrock

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데이터 과학 및 ML

Facilitates deep analysis and navigation of the AgentScope library to assist in building multi-agent systems.

소개

This skill empowers Claude to explore and interpret the AgentScope library efficiently by providing specialized scripts to search tutorials, official examples, and the library's internal code structure. It streamlines the development process for multi-agent AI applications by offering targeted guidance on initialization, implementation patterns, and function discovery. By automating the retrieval of documentation and source code from the AgentScope repository, it ensures that developers have access to the most relevant information for building sophisticated AI agent workflows.

주요 기능

89 GitHub stars
Structured exploration of official implementation examples in the GitHub repository.
Seamless integration with Git and Pip for repository cloning and library management.
Intelligent decision logic to select the best information source based on user queries.
Deep inspection of Python modules, classes, and functions within the library.
Automated searching of official AgentScope tutorials for usage guidance.

사용 사례

Debugging implementation issues by inspecting module hierarchies and function signatures.
Learning how to initialize and configure multi-agent frameworks using AgentScope.
Finding specific code examples for complex agent interaction and communication patterns.

소개

주요 기능

89 GitHub stars
Structured exploration of official implementation examples in the GitHub repository.
Seamless integration with Git and Pip for repository cloning and library management.
Intelligent decision logic to select the best information source based on user queries.
Deep inspection of Python modules, classes, and functions within the library.
Automated searching of official AgentScope tutorials for usage guidance.

사용 사례

Debugging implementation issues by inspecting module hierarchies and function signatures.
Learning how to initialize and configure multi-agent frameworks using AgentScope.
Finding specific code examples for complex agent interaction and communication patterns.