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Analyzing AgentScope Library

Community
Microck
Analyzing AgentScope Library

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

Overview

PublisherMicrock
Repositoryordinary-claude-skills
Skill nameAnalyzing AgentScope Library
Stars
398
Forks
53
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Microck on GitHub. Read the source before you install it.

Installation

Install the Analyzing AgentScope Library AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git /tmp/ordinary-claude-skills
mkdir -p .claude/skills
cp -r /tmp/ordinary-claude-skills/skills_all/analyzing-agentscope-library .claude/skills/microck-analyzing-agentscope-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing AgentScope Library in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyzing AgentScope Library on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyzing AgentScope Library is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

bash
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:

bash
pip list | grep agentscope

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

bash
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.

bash
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).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Analyzing AgentScope Library AI skill do?

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

Why use Analyzing AgentScope Library on TypingMind?

Because you install it once and use it with any model. Analyzing AgentScope Library is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyzing AgentScope Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/analyzing-agentscope-library. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyzing AgentScope Library?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyzing AgentScope Library?

As many as you like. As long as a model supports skills, you can use Analyzing AgentScope Library with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing AgentScope Library AI skill free?

It is published on GitHub by Microck. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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