Best use case
eo-ability-multi-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
多专家编排能力(Multi-Expert Orchestrator)，协调多个专家并行/串行工作，结果自动汇流
Teams using eo-ability-multi-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/eo-ability-multi-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How eo-ability-multi-expert Compares
| Feature / Agent | eo-ability-multi-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
多专家编排能力(Multi-Expert Orchestrator)，协调多个专家并行/串行工作，结果自动汇流
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# eo-ability-multi-expert
> 多专家编排能力 (Multi-Expert Orchestrator) - 协调多个专家并行/串行工作
## 一句话介绍
EO核心编排能力，多专家并行启动、结果自动汇流、依赖管理、冲突解决。
## 核心功能
- **多专家并行**: 多个专家同时启动
- **结果汇流**: 专家输出自动合并
- **依赖管理**: 专家执行顺序控制
- **冲突解决**: 多专家结果冲突处理
- **Checkpoint**: 每N个专家后自动Checkpoint
## 使用方法
```bash
# 启动多专家协作
/dream "开发博客系统"
// 或通过 Team Manager
创建团队: 博客开发团队
添加专家: Architect, Backend, Frontend, QA
启动协作: parallel
```
## 与EO插件的协同
- 被所有 eo-workflow-* 调用
- 是 EO 的核心差异化能力
## 独立运行模式（有EO vs 无EO）
| 模式 | 能力 |
|------|------|
| **有EO插件** | 真实多Agent并行、sessions API调用、结果汇流 |
| **无插件（基础）** | LLM模拟多专家、串行执行 |
## 执行流程
```
用户: /dream "开发博客系统"
│
▼
┌─────────────────────────────────────┐
│ Multi-Expert Orchestrator │
│ 解析任务 → 分解 → 调度 │
└─────────────────┬───────────────────┘
│
┌─────────────┼─────────────┐
▼ ▼ ▼
┌────────┐ ┌────────┐ ┌────────┐
│Architect│ │Backend │ │Frontend│
│ Agent │ │ Agent │ │ Agent │
└────┬────┘ └────┬────┘ └────┬────┘
│ │ │
└────────────┼────────────┘
▼
┌──────────────┐
│ Result Merge │
│ + Checkpoint │
└──────────────┘
```
## Interface
### Input
```typescript
interface MultiExpertInput {
experts: ExpertRequest[]
strategy: 'parallel' | 'sequential' | 'pipeline'
checkpointAfter?: number // 每 N 个专家后 Checkpoint
timeout?: number // 超时时间（ms）
}
```
### Output
```typescript
interface MultiExpertOutput {
results: ExpertResult[]
checkpoints: CheckpointResult[]
summary: string
duration: number
}
```
---
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