本文へ移動
cccskills
無料GitHub で公開

Analyzing AgentScope Library

This skill provides a way to retrieve information from the AgentScope library for analysis and decision-making.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md3.2 KB
  • metadata.json668 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Analyzing AgentScope Library

Overview

This guide covers the essential operations for retrieving and answering questions about the AgentScope library. If you need to answer questions regarding the AgentScope library, or look up specific information, functions/classes, examples or guidance, this skill will help you achieve that.

Quick Start

The skill provides the following key scripts:

  • Search for guidance in the AgentScope tutorial.
  • Search for official examples and recommended implementations provided by AgentScope.
  • A quick interface to view AgentScope's Python library by given a module name (e.g. agentscope), and return the module's submodules, classes, and functions.

When being asked an AgentScope-related question, you can follow the steps below to find the relevant information:

First decide which of the three scripts to use based on the user's question.

  • If user asks for "how to use" types of questions, use the "Search for Guidance" script to find the relevant tutorial
  • If user asks for "how to implement/build" types of questions, first search for relevant examples. If not found, then consider what functions are needed and search in the guide/tutorial
  • If user asks for "how to initialize" types of questions, first search for relevant tutorials. If not found, then consider to search for the corresponding modules, classes, or functions in the library.

Search for Examples

First ask for the user's permission to clone the agentscope GitHub repository if you haven't done so:

git clone -b main https://github.com/agentscope-ai/agentscope

In this repo, the examples folder contains various examples demonstrating how to use different features of the AgentScope library. They are organized in a tree structure by different functionalities. You should use shell command like ls or cat to navigate and view the examples. Avoid using find command to search for examples, as the name of the example files may not directly relate to the functionality being searched for.

Search for Guidance

Similarly, first ensure you have cloned the agentscope GitHub repository.

The source agentscope tutorial is located in the docs/tutorials folder of the agentscope GitHub repository. It's organized by the different sections. To search for guidance, go to the docs/tutorials folder and view the tutorial files by shell command like ls or cat.

Search for Targeted Modules

First, ensure you have installed the agentscope library in your environment:

pip list | grep agentscope

If not installed, ask the user for permission to install it by command:

pip install agentscope

Then, run the following script to search for specific modules, classes, or functions. It's suggested to start with agentscope as the root module name, and then specify the submodule name you want to search for.

python view_agentscope_module.py --module agentscope

About detailed usage, please refer to the ./view_agentscope_module.py script (located in the same folder as this SKILL.md file).

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

adaptyv

無料

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

日本語の概要は準備中です。原文の説明を表示しています。

Microck/ordinary-claude-skills4052026年9月7日 更新

Microck のスキルをすべて見る

このスキルの問題を報告する