What makes Agency Agents Zh notable?

4.7K downloads. Trust evidence available

How should Agency Agents Zh be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Agency Agents Zh

193 个即插即用的 AI 专家角色库 - 覆盖工程、设计、营销、产品、游戏、安全、金融等 18 个部门。支持多智能体协作工作流。 Skill: Agency Agents Zh Owner: mouxangithub Summary: 193 个即插即用的 AI 专家角色库 - 覆盖工程、设计、营销、产品、游戏、安全、金融等 18 个部门。支持多智能体协作工作流。 Tags: ai:1.0.0, latest:1.0.0, mcp:1.0.0, memory:1.0.0, search:1.0.0, unified:1.0.0 Version history: v1.0.0 | 2026-04-20T09:42:17.680Z | auto Initial release of agency-agents-zh — a comprehensive library of 193 ready-to-use AI expert roles for Chinese users. - Covers 18 departments including engineeri

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

4.7k

Updated

Oct 9, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 4.7K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 4.7K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.0release · observed Apr 20, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176s21g23d19kn327srqb81m183g3pd:agency-agents-zh

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mouxangithub-agency-agents-zh/snapshot"

Documentation

CLAWHUB

4,819 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: agency-agents-zh
description: "193 个即插即用的 AI 专家角色库 - 覆盖工程、设计、营销、产品、游戏、安全、金融等 18 个部门。支持多智能体协作工作流。"
user-invocable: true
---

# agency-agents-zh 专家角色库

## 概述

这是 agency-agents-zh 项目的 OpenClaw 集成技能。提供了 **193 个专业 AI 专家角色**，覆盖 18 个部门，包括 46 个中国市场原创智能体。

## 安装位置

项目已克隆到：`/root/.openclaw/agency-agents-zh/`

## 主要目录结构

```
agency-agents-zh/
├── academic/          # 学术领域
├── design/           # 设计领域
├── engineering/      # 工程领域（最大）
├── finance/          # 金融领域
├── game-development/ # 游戏开发
├── marketing/        # 市场营销
├── product/          # 产品管理
└── ...
```

## 如何使用

### 方法1: 直接调用特定专家

当需要特定领域的专业知识时，可以：

1. **指定角色名称**：如"安全工程师"、"后端架构师"、"UI设计师"
2. **系统会自动加载对应的专家角色定义**
3. **AI 将按照该专家的思维模式和工作流程执行任务**

### 方法2: 与 workflow-runner 配合使用

对于复杂任务，使用多智能体协作：

1. 创建 YAML 工作流文件
2. 使用 `workflow-runner` 技能执行
3. 多个专家角色自动协作完成任务

## 核心专家角色示例

### 工程领域
- **安全工程师** - OWASP Top 10, 威胁建模, 安全代码审查
- **后端架构师** - 系统设计, 微服务, 数据库优化
- **前端开发者** - 现代前端框架, 性能优化, 用户体验
- **DevOps 自动化师** - CI/CD, 容器化, 云原生
- **数据工程师** - 数据管道, ETL, 大数据处理

### 设计领域
- **UI 设计师** - 界面设计, 用户体验, 设计系统
- **UX 研究员** - 用户研究, 可用性测试, 用户旅程
- **视觉故事讲述者** - 数据可视化, 信息设计

### 中国市场原创
- **小红书运营专家** - 种草笔记策略, 达人合作
- **抖音内容策略师** - 短视频内容, 算法优化
- **微信小程序开发者** - 小程序开发, 微信生态
- **飞书集成开发者** - 飞书应用开发, 机器人集成
- **钉钉集成开发者** - 钉钉工作台, 智能助手

## 工作流程

1. **识别需求** - 确定需要哪种专家
2. **加载角色** - 从 agency-agents-zh 加载对应的角色定义
3. **执行任务** - AI 按照专家的工作流程执行
4. **交付成果** - 输出符合专业标准的成果

## 与现有技能的整合

- **workflow-runner** - 用于多智能体协作工作流
- **superpowers-writing-plans** - 增强规划能力
- **security-auditor** - 与安全工程师角色互补

## 注意事项

1. 角色定义文件在 `/root/.openclaw/agency-agents-zh/` 目录
2. 每个角色都有完整的专业流程和交付物标准
3. 支持多角色协作完成复杂任务
4. 中国市场角色针对中国本土需求优化

## 快速开始

```bash
# 查看所有可用的专家角色
cat /root/.openclaw/agency-agents-zh/AGENT-LIST.md

# 查看特定角色定义
cat /root/.openclaw/agency-agents-zh/engineering/engineering-security-engineer.md
```

现在你可以说："作为安全工程师，请审查这段代码" 或 "我需要后端架构师帮助设计系统"。

_meta.json

{
  "ownerId": "kn7ddtw3srapdb2a5hxt1jjph1825kye",
  "slug": "agency-agents-zh",
  "version": "1.0.0",
  "publishedAt": 1776678137680
}

skill-card.md

## Description:

193 个即插即用的 AI 专家角色库 - 覆盖工程、设计、营销、产品、游戏、安全、金融等 18 个部门。支持多智能体协作工作流。

This skill is ready for commercial/non-commercial use.

## Publisher:

[mouxangithub](https://clawhub.ai/user/mouxangithub)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and Chinese-language agent users use this skill to load specialized AI expert-role behavior across engineering, design, marketing, product, game development, security, finance, and other departments. It supports direct expert-role invocation and multi-agent collaborative workflows.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill relies on external role definition files that shape agent responses.

Mitigation: Install only when those local role files are trusted, and review or control the role directory when strict instruction provenance is required.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/mouxangithub/skills/agency-agents-zh)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]

**Output Format:** [Markdown or plain text with role-specific guidance, code, shell commands, and configuration snippets as appropriate to the requested expert task]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Outputs are shaped by the selected external role definition files and the requested workflow.]

## Skill Version(s):

1.0.0 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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