summarizer

Use when the user asks for a summary, TL;DR, or condensed version of any content.

跳到安装查看文件

仓库: agentscope-ai/agentscope-java
最近来源活动: 2026年6月9日 07:40
检测到的 SKILL.md 语言: 英语
星标: 5,999
分支: 1,489

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

用 AI 助手安装

复制这段 Prompt，发给你正在使用的 AI 助手。

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/agentscope-ai/agentscope-java/tree/main/agentscope-examples/documentation/src/main/resources/skills/summarizer.

直接命令不会经过审查 Prompt；运行前请先检查来源。

npx skills add https://github.com/agentscope-ai/agentscope-java --skill summarizer

命令会保持在同一行。复制前请横向滚动并检查完整内容。

想先保存到本地？可下载 SkillsMP 当前能够提供的文件。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

SKILL.md

来源说明 · 只读预览

name: summarizer
description: Use when the user asks for a summary, TL;DR, or condensed version of any content.

# Summarizer Summarize the given content into 3-5 bullet points. Focus on key takeaways.

在 GitHub 查看

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agentscope-java

Expert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.

2026-10-16

code-reviewer

Four-layer skill composition, skill marketplaces, the self-learning loop

四层技能合成、技能市场、自学习闭环