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multi-agent-dev-team多 Agent 开发团队

Agent Skill

multi-agent-dev-team 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

39,552

周安装

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下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:multi-agent-dev-team(多 Agent 开发团队)
来源仓库:https://github.com/chloepark85/multi-agent-dev-team
安装命令:
openclaw skills install multi-agent-dev-team
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install multi-agent-dev-team

简介

multi-agent-dev-team 实现 OpenClaw 中两个代理协作完成软件开发全流程。

  • 适合需求分析、编码实现与测试部署等环节的分工协作模式。
  • 通过 clawhub 安装后,Agent 可自动分派任务并合并输出结果。
  • 使用前需设定清晰的沟通协议与交付标准,保障协作质量。
  • 注意版本控制与代码合并冲突处理,建议启用自动化 CI/CD 流程。

SKILL.md

name
Multi-Agent Dev Team
description
2-agent collaborative software development workflow for OpenClaw
homepage
https://ubik.systems
metadata
{"clawdbot":{"emoji":"🤝","requires":{"agents":["multi-agent-pm","multi-agent-dev"]}}}

Multi-Agent Dev Team

2-agent collaborative software development workflow for OpenClaw

Build complete software projects using AI agents that work together like a real development team.

What is this?

The Multi-Agent Dev Team skill provides a PM (Project Manager) and Dev (Developer) agent that collaborate to build software projects. You describe what you want, the PM breaks it down into tasks, and the Dev agent implements them.

Perfect for:

  • Landing pages and websites
  • Small web applications
  • Prototypes and MVPs
  • Code generation projects
  • Learning multi-agent workflows

Quick Start

1. Install the skill

npx clawhub install multi-agent-dev-team

2. Set up agents

The skill includes two pre-configured agents:

PM Agent (multi-agent-pm)

  • Handles project planning
  • Coordinates the Dev agent
  • Reports progress to you

Dev Agent (multi-agent-dev)

  • Implements code
  • Tests functionality
  • Commits to Git

3. Configure in ~/.openclaw/config.yaml

agents:
  multi-agent-pm:
    soul: ~/.openclaw/skills/multi-agent-dev-team/agents/pm-agent/SOUL.md
    model: anthropic/claude-sonnet-4-5-20250929  # or your preferred model
    
  multi-agent-dev:
    soul: ~/.openclaw/skills/multi-agent-dev-team/agents/dev-agent/SOUL.md
    model: google/gemini-2.5-flash  # faster for code generation

4. Start your PM agent

openclaw chat --agent multi-agent-pm

Usage Example

Building a Landing Page

You (Director):

Build me a Next.js landing page with hero section, features, and contact form. Use Tailwind CSS and TypeScript.

PM Agent:

I'll break this down into a clear task for the Dev agent. Starting now... *[Spawns Dev agent with detailed spec]* Dev agent is working on the project. I'll monitor progress and report back when complete.

PM Agent (later):

✅ Landing page completed! Deliverables: - Next.js 14+ App Router project - Hero, Features, Contact sections - Fully responsive design - TypeScript + Tailwind CSS - Git repository initialized Location: ~/projects/my-landing-page/ Ready for deployment. Would you like me to deploy to Vercel?

How It Works

Architecture

You (Director)
    ↓
PM Agent (Orchestrator)
    ↓
Dev Agent (Implementer)
    ↓
Working Code

Workflow

  1. You describe your project to the PM agent
  2. PM creates a structured task specification
  3. PM spawns Dev agent with the spec
  4. Dev implements the code
  5. PM reviews the deliverables
  6. PM reports completion (or requests revisions)
  7. Repeat steps 4-6 if needed (max 3 iterations)

Task Specification Format

The PM agent uses this template to communicate with Dev:

## Project: [NAME]
## Task: [ACTION]

## Requirements:
1. [Requirement 1]
2. [Requirement 2]

## Technical Constraints:
- [Constraint 1]
- [Constraint 2]

## Acceptance Criteria:
- [ ] [Criterion 1]
- [ ] [Criterion 2]

## Deliverables:
- [Deliverable 1]
- [Deliverable 2]

Supported Project Types

✅ Works Great

  • Next.js landing pages & apps
  • React components & SPAs
  • Node.js scripts & APIs
  • TypeScript projects
  • Static sites (HTML/CSS/JS)
  • Documentation sites

⚠️ Limited Support

  • Complex backend systems (use Pro version)
  • Real-time applications
  • Multi-service architectures
  • Mobile apps

❌ Not Recommended

  • Large enterprise systems
  • Mission-critical production code without human review
  • Projects requiring specialized agents (use Pro version)

Configuration Options

Agent Models

PM Agent (orchestration):

  • anthropic/claude-sonnet-4-5 - Best reasoning
  • google/gemini-2.5-flash - Fast & efficient
  • openai/gpt-4o - Balanced

Dev Agent (code generation):

  • google/gemini-2.5-flash - Fast iteration (recommended)
  • anthropic/claude-sonnet-4-5 - Higher quality
  • openai/gpt-4o-mini - Budget-friendly

Workspace Configuration

Set a dedicated workspace for projects:

agents:
  multi-agent-pm:
    soul: ~/.openclaw/skills/multi-agent-dev-team/agents/pm-agent/SOUL.md
    model: anthropic/claude-sonnet-4-5-20250929
    cwd: ~/dev-projects  # All projects created here

Best Practices

1. Start Small

Don't ask for everything at once. Start with an MVP:

❌ Bad:

Build a full e-commerce site with user auth, payments, admin dashboard, and inventory management.

✅ Good:

Build a simple product landing page with hero, features, and signup form.

2. Be Specific

The more specific your requirements, the better the result:

❌ Vague:

Make a nice website.

✅ Specific:

Create a Next.js landing page with: - Hero section with CTA button - 3-column feature grid - Contact form with email validation - Tailwind CSS styling - Dark mode support

3. Iterate Incrementally

Build in phases:

Phase 1: Basic structure Phase 2: Add features Phase 3: Polish & deploy

4. Review Output

Always review the generated code before deploying. The agents are good, but human oversight is important.

5. Provide Examples

If you have a specific style or pattern in mind, share examples:

Build a landing page similar to https://example.com, but for [your product].

Troubleshooting

"Dev agent didn't complete the task"

Check:

  1. Was the task specification clear?
  2. Are required tools available (Node.js, Git)?
  3. Did the agent hit resource limits?

Solution:

  • Simplify the task
  • Check PM agent logs via sessions_history
  • Try again with clearer requirements

"Code doesn't work"

Check:

  1. Dependencies installed? (npm install)
  2. Environment variables set?
  3. Correct Node.js version?

Solution:

  • Ask PM agent: "The code has errors. Please review and fix."
  • The PM will spawn Dev again for corrections

"Task took too long"

Solutions:

  • Break into smaller tasks
  • Use faster model for Dev agent (gemini-2.5-flash)
  • Simplify requirements

Examples

Example 1: Simple Landing Page

You: Build a landing page for a SaaS product called "TaskFlow". 
Include hero, features (3 cards), and pricing table. Use Next.js 
and Tailwind CSS.

PM: Working on it... 
[2 minutes later]
PM: ✅ TaskFlow landing page complete! Ready for deployment.

Example 2: React Component Library

You: Create a reusable Button component library with variants 
(primary, secondary, outline) and sizes (sm, md, lg). Use 
TypeScript and class-variance-authority.

PM: Task received. Spawning Dev agent...
[3 minutes later]
PM: ✅ Button component library complete with Storybook examples.

Example 3: API Integration

You: Build a Next.js app that fetches and displays GitHub user 
profiles. Include search functionality and responsive cards.

PM: Starting development...
[4 minutes later]
PM: ✅ GitHub profile viewer complete with search and error handling.

Upgrading to Pro

Want more power? Upgrade to Multi-Agent Dev Team Pro ($49):

Pro Features

  • 🎯 6 specialized agents: PM, Architect, Dev, QA, DevOps, BizDev
  • 🔄 Lobster pipelines: Automated workflows with approval gates
  • 🏗️ Architecture design: Dedicated agent for system design
  • Automated QA: Code review & testing agent
  • 🚀 DevOps automation: Deployment & CI/CD setup
  • 💼 Business planning: Market research & strategy agent
  • 📚 Comprehensive guides: English + Korean setup docs

Get Pro →

Support

License

MIT License - See LICENSE file for details

Credits

Built by UBIK Collective

Powered by OpenClaw


Ready to build with AI agents? Install now:

npx clawhub install multi-agent-dev-team

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

81.05%
按下载量换算10,686

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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