什么是 Business Claw ERPNext 技能库？

Business Claw 技能提供了一个在 ERPNext 环境中构建高级企业工作流的结构化框架。通过将多个 MCP（模型上下文协议）工具组合成可重用的定义，这些 Openclaw 技能允许开发人员弥补简单 API 调用与复杂业务逻辑之间的差距。该系统使用自然语言触发器来激活预定义的序列，使 AI 代理能够更准确、安全地与 ERP 数据进行交互。

该库对于希望自动化重复性任务（如客户入驻、销售订单处理或库存管理）的团队至关重要。通过利用 Openclaw 技能，您可以确保每个操作都遵循严格的验证规则和组织护栏，从而减少错误并提高业务运营速度。它充当高级编排器，将自然语言意图转换为可执行的多步骤序列。

下载入口:https://github.com/openclaw/skills/tree/main/skills/ravana-indus/erpnext-frappe

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Business Claw ERPNext 技能库 应用场景

• 在 CRM 模块中自动创建线索和客户。
• 执行从报价到付款处理的端到端销售工作流。
• 通过库存分录和新项目注册同步库存。
• 管理财务记录并处理跨各种 DocType 的付款。
• 在 ERP 内执行批量操作和跨功能搜索。

1. AI 代理检测到与可用技能模式匹配的自然语言触发器。
2. SkillLoader 从 Openclaw 技能库中检索相应的 JSON 定义。
3. 用户提供的输入参数根据严格的 JSON 模式进行验证。
4. ToolRouter 按照工作流步骤中定义的顺序执行 MCP 工具。
5. 变量替换处理生命周期中不同步骤之间的动态数据传递。
6. 预定义的护栏检查验证规则以确保安全执行。
7. 使用输出模板生成最终响应，为用户提供清晰的摘要。

Business Claw ERPNext 技能库 配置指南

要集成这些 Openclaw 技能，您必须拥有正常运行的 Frappe/ERPNext 环境并安装了 bc_mcp 模块。使用以下模式加载并执行工作流：

from bc_skills import get_available_skills, load_skill

# 列出所有可用的 Openclaw 技能
skills = get_available_skills()

# 加载并执行特定工作流
from bc_skills.loader import execute_skill
result = execute_skill(
    name="create_sales_order",
    context={"customer": "Example Corp", "items": [...]},
    user="Administrator"
)

Business Claw ERPNext 技能库 数据架构与分类体系

每个技能都由一个 JSON 模式定义，该模式规定了代理应如何解释和执行业务逻辑。

Business Claw Skills

High-level business workflows that combine multiple MCP tools into reusable, executable skills for ERPNext.

Overview

Skills are pre-defined workflows stored as JSON files in definitions/. Each skill defines:

• Triggers: Natural language patterns that activate the skill
• Tools: MCP tools to execute in sequence
• Input Schema: Required and optional parameters
• Workflow Steps: Ordered execution plan with variable substitution
• Guardrails: Validation rules for safe execution
• Output Template: Formatted response message

Available Skills

CRM Skills

Sales Skills

Purchase Skills

Inventory Skills

Project Skills

Financial Skills

Utility Skills

Usage

Loading Skills

from bc_skills import get_available_skills, load_skill

# List all available skills
skills = get_available_skills()
print(skills)  # ['create_customer', 'create_sales_order', ...]

# Load a specific skill
skill = load_skill("create_customer")

Executing Skills

from bc_skills.loader import execute_skill

result = execute_skill(
    name="create_customer",
    context={
        "customer_name": "ACME Corp",
        "customer_type": "Company",
        "customer_group": "Commercial",
        "email": "contact@acme.com"
    },
    user="Administrator"
)

print(result)

Trigger Examples

Skills respond to natural language triggers:

Skill Definition Schema

{
  "name": "skill_name",
  "version": "1.0.0",
  "description": "What the skill does",
  "author": "Business Claw Team",
  "category": "crm|sales|purchase|inventory|project|payments|utility",
  
  "triggers": [
    "trigger phrase 1",
    "trigger phrase 2"
  ],
  
  "tools": [
    {
      "name": "tool_name",
      "description": "What it does",
      "required": true
    }
  ],
  
  "input_schema": {
    "type": "object",
    "properties": {
      "param_name": {
        "type": "string",
        "description": "Parameter description",
        "enum": ["option1", "option2"]
      }
    },
    "required": ["required_param"]
  },
  
  "workflow": {
    "steps": [
      {
        "step": "step_name",
        "tool": "tool_to_call",
        "arguments": {
          "doctype": "DocType",
          "data": {
            "field": "${variable}"
          }
        }
      }
    ]
  },
  
  "guardrails": {
    "rule_name": true
  },
  
  "output_template": "Formatted output {{variable}}"
}

Variable Substitution

Workflow steps support ${variable} substitution from execution context:

{
  "step": "create_order",
  "tool": "create_document",
  "arguments": {
    "doctype": "Sales Order",
    "data": {
      "customer": "${customer_id}",
      "items": "${items}"
    }
  }
}

Creating Custom Skills

1. Create a JSON file in definitions/
2. Define triggers, tools, input schema, and workflow
3. Use the SkillLoader to load and execute

Example custom skill structure:

{
  "name": "my_custom_skill",
  "version": "1.0.0",
  "description": "My custom workflow",
  "category": "utility",
  "triggers": ["my trigger"],
  "tools": [
    {"name": "get_doctype_meta", "required": true},
    {"name": "create_document", "required": true}
  ],
  "input_schema": {
    "type": "object",
    "properties": {
      "param1": {"type": "string"}
    },
    "required": ["param1"]
  },
  "workflow": {
    "steps": [
      {
        "step": "step1",
        "tool": "get_doctype_meta",
        "arguments": {"doctype": "Item"}
      }
    ]
  },
  "output_template": "Result: {{result}}"
}

Architecture

• loader.py - SkillLoader class manages skill loading and execution
• definitions/ - JSON files containing skill definitions
• Skills use the ToolRouter to execute MCP tools in sequence
• Guardrails provide validation before skill execution

Requirements

• Frappe/ERPNext environment
• bc_mcp module for tool routing
• JSON or YAML skill definitions

License

MIT