👥
AI EngineeringPython

Agent Team

by anbeime

Agent Team is an AI Engineering skill for Claude Code, published by anbeime in skill.

5.3K stars519 forkson anbeime/skillAdded 2026/08/16+3% in starsRepository updated 2026/08/16
claude-skillsfinance-skillgemini-skillshermes-skilloffice-skillopenclaw-skillsskillskill-mdskills
Install in seconds
Install Agent Team
Copy Agent Team into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/anbeime/skill/tree/main/skills/agent-team/agent-team ~/.claude/skills/agent-team

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/anbeime/skill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/agent-team/agent-team/SKILL.md in anbeime/skill
Installs to
~/.claude/skills/agent-team
Collection
One of 23 skills cataloged from this repository
Category
AI Engineering2451 skills

What Agent Team does

Agent Team provides a framework for managing and combining multiple AI agent roles into task-oriented teams with real-time communication and shared memory. Use it when coordinating multiple agents for meetings, system building, or complex projects.

Agent Team is cataloged under AI Engineering on DirSkills. Agent Team comes from a repository tagged claude-skills, finance-skill, gemini-skills, hermes-skill and office-skill.

Documentation

README

智能体团队协作框架

任务目标

  • 本Skill用于:统一管理和灵活组合多个智能体角色,组建任务导向的智能体团队
  • 能力包含:智能体注册、动态组队、协作流程、角色扩展、共享记忆、实时沟通
  • 触发条件:当需要多个智能体协同完成任务时,或需要管理特定场景的智能体组合时

核心概念:忙碌的AI团队公司

智能体即角色

每个智能体是一个独立的角色,具备:

  • 角色定位:明确的职责和专业领域
  • 能力特征:专业知识和性格特点
  • 协作接口:与其他智能体协作的方式
  • 输出规范:标准化的输出格式

智能体团队:一个忙碌的一人AI团队公司

团队由多个智能体组成,就像一个真实的工作团队:

角色分工明确

干活的智能体(执行层):

  • 自动化工程智能体:实现技术方案、生成代码、部署系统
  • 前端/后端工程师:编写代码、实现功能
  • 数据分析师:处理数据、生成报告
  • 运营专家:执行运营策略、优化流程

指挥的智能体(管理层):

  • 主持人:引导讨论流程、控制节奏
  • 项目经理:制定计划、分配任务、跟踪进度
  • 战略分析智能体:制定战略、规划方向
  • 产品经理:定义产品、规划路线图

挑毛病的智能体(评审层):

  • 评审员:评估质量、发现问题、提供建议
  • 技术架构师:评审架构、指出风险
  • 市场分析师:评审方案、指出市场问题
  • 财务顾问:评审成本、指出财务风险
实时沟通可见

智能体之间的讨论过程完全可见:

  • ✅ 实时显示发言过程
  • ✅ 记录每个智能体的观点
  • ✅ 展示辩论和争论
  • ✅ 显示共识和分歧
  • ✅ 记录决策过程

就像在一个真实的会议室,你能看到每个人发言、讨论、辩论的全过程。

共享数据库记忆

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Team

  • What else does anbeime publish alongside Agent Team?

    Agent Team is one of 23 skills that DirSkills catalogs from anbeime/skill, the repository it ships in. Its siblings there include AgentKit Multimedia Shopping, Antinet Doc Parse and Antinet Four Color Cards. Each one is a separate skill with its own page in this directory, installs the same way Agent Team does, and is maintained by anbeime in that same repository. The rest of the collection is listed on the anbeime/skill page.

  • How does Agent Team compare to other AI Engineering skills?

    Agent Team ranks #485 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Team against them. Open each page to compare what they document and how they install.

More from anbeime/skill

Agent Team is one of 23 skills cataloged on DirSkills from anbeime/skill.

See all 23 skills
🎬
2w ago

AgentKit Multimedia Shopping

AgentKit Multimedia Shopping generates digital human shopping guide videos by orchestrating AI image, voice, music, and video generation into a 9:16 vertical workflow. Use it to produce e-commerce digital human shopping guide videos with ByteDance agentkit multimedia samples.
Automation
5.3K519
📄
2w ago

Antinet Doc Parse

Antinet Doc Parse converts PDF, PPT, Excel, and Word files into structured Markdown with metadata and confidence scores. Use it as a data foundation for RAG pipelines and knowledge-card generation.
Data
5.3K519
🃏
2w ago

Antinet Four Color Cards

Antinet Four Color Cards generates four structured analysis cards—blue facts, green explanations, yellow risks, and red actions—from parsed documents and user intent, with source traceability. Used for research, finance, and legal document analysis.
Data
5.3K519
🧾
2w ago

Antinet Provenance

Antinet Provenance collects full-chain operational logs and generates traceable evidence chains and vector indexes for multi-agent system observability and security auditing. Use it to record key operation events, query audit trails by trace ID or time window, and support rollback and compliance.
AI Engineering
5.3K519
🛡️
2w ago

Antinet Security Scan

Antinet Security Scan performs security and compliance checks on incoming files or URLs and returns a pass/reject verdict together with a scan report. Use it as a mandatory front-line gate before any document processing.
Quality
5.3K519
🖼️
2w ago

Article Illustrator

Article Illustrator analyzes article content and generates illustrations at positions where visual aids help, such as abstract concepts, processes, or comparisons. It is used when a user asks to add images or illustrations to an article.
AI Engineering
5.3K519