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Collaborative Agent 1fe479

Name: Collaborative Agent 1fe479
Author: 534422530

作者 534422530 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install collaborative-agent-1fe479

功能描述

从抖音视频学习: collaborative-agent — AI给自己写工具？字节团队出品 MUSE-Autoskill 让Agent实现技能自进化，推动skills成为可复用的知

使用说明 (SKILL.md)

\r \r

collaborative-agent\r

从 @智能体老王的视频中学到的技能\r 关键词: AI给自己写工具, 字节团队出品, MUSE, Autoskill, 让Agent实现技能自进化, 推动skills成为可复用的知识资产\r \r

描述\r

\r AI给自己写工具？字节团队出品 MUSE-Autoskill 让Agent实现技能自进化，推动skills成为可复用的知识资产\r \r

操作步骤\r

理解核心概念: collaborative-agent\r
掌握关键技巧: AI给自己写工具, 字节团队出品, MUSE, Autoskill\r
参考案例: 智能体老王的演示\r
动手实践并迭代\r \r

参考来源\r

作者: @智能体老王\r
学习时间: 2026-06-02 09:33\r
领域标签: tool\r \r

触发场景\r

用户说"collaborative-agent"\r
用户说"AI给自己写工具"\r
用户需要collaborative-agent相关帮助\r \r

B站学习 (第1轮)\r

学习时间: 2026-06-02 09:33\r \r

陌冉航: 【推荐系统论文代码讲解】Neural Graph Collaborative Filtering\r https://www.bilibili.com/video/BV1bt4y1k7vP\r
WJ_UPC: 20221216_王钧_Advances in Collaborative Neurodynamic Optimization\r https://www.bilibili.com/video/BV1U8411p7rL\r
人间拾月光星河: 基于多时间尺度滚动优化的多能源微网双层调度模型参考文档：《Collaborative Autonomous Optimization of Inte\r https://www.bilibili.com/video/BV1i85Q6yEtq\r \r

融合来源: collaborative-agent-1fe479-bc36fe\r

融合时间: 自动合并\r \r

collaborative-agent-1fe479\r

从 @陌冉航的视频中学到的技能\r 关键词: 推荐系统论文代码讲解, Neural, Graph, Collaborative, Filtering\r \r

描述\r

【推荐系统论文代码讲解】Neural Graph Collaborative Filtering\r \r

操作步骤\r

理解核心概念: collaborative-agent-1fe479\r
掌握关键技巧: 推荐系统论文代码讲解, Neural, Graph, Collaborative\r
参考案例: 陌冉航的演示\r
动手实践并迭代\r \r

参考来源\r

作者: @陌冉航\r
学习时间: 2026-06-02 09:33\r
领域标签: code\r \r

触发场景\r

用户说"collaborative-agent-1fe479"\r
用户说"推荐系统论文代码讲解"\r
用户需要collaborative-agent-1fe479相关帮助\r \r

安全使用建议

Reasonable to install as a lightweight reference skill. Be aware that its triggers are broad and its source material appears video-derived, so treat it as a learning aid rather than an authoritative technical implementation guide.

能力评估

✓ Purpose & Capability

The artifact is a Markdown-only skill that summarizes learning steps and video references for collaborative-agent/MUSE-Autoskill topics; its capabilities match that instructional purpose.

ℹ Instruction Scope

Some trigger wording is broad and the merged content includes a loosely related recommendation-system video, so it may activate in low-relevance conversations, but it does not add sensitive authority or unsafe actions.

✓ Install Mechanism

The package contains only SKILL.md, with no scripts, dependencies, binaries, or install-time commands.

✓ Credentials

No artifact instructions request filesystem, network, shell, account, profile, credential, or local indexing access.

✓ Persistence & Privilege

No persistence, background execution, privilege escalation, mutation authority, or credential/session handling is present.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install collaborative-agent-1fe479
安装完成后，直接呼叫该 Skill 的名称或使用 /collaborative-agent-1fe479 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of collaborative-agent-1fe479 skill. - Provides guidance on learning collaborative-agent concepts and practices from popular video sources. - Includes step-by-step instructions and video-based case references for mastering AI that writes its own tools (MUSE-Autoskill by ByteDance). - Supports user queries related to collaborative-agent skills, with triggers for both general and specialized help. - Aggregates knowledge and resources from multiple relevant Bilibili videos and creators.

元数据

Slug collaborative-agent-1fe479

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题