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Analyze ERP system integration for construction data flows. Map and optimize data flows between ERP modules
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Based on DDC methodology (Chapter 1.2), this skill analyzes ERP system integration patterns in construction organizations, mapping data flows between modules and identifying optimization opportunities.
Book Reference: "Технологии и системы управления в современном строительстве" / "Technologies and Management Systems in Modern Construction"
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Set, Tuple
from datetime import datetime
import json
class ERPModule(Enum):
"""Common ERP modules in construction"""
FINANCE = "finance"
PROJECT_MANAGEMENT = "project_management"
PROCUREMENT = "procurement"
INVENTORY = "inventory"
HR = "human_resources"
PAYROLL = "payroll"
EQUIPMENT = "equipment"
SUBCONTRACTS = "subcontracts"
BILLING = "billing"
COST_CONTROL = "cost_control"
DOCUMENT_MANAGEMENT = "document_management"
REPORTING = "reporting"
class IntegrationMethod(Enum):
"""Types of integration methods"""
API = "api"
DATABASE = "database"
FILE_EXPORT = "file_export"
MANUAL = "manual"
WEBHOOK = "webhook"
MESSAGE_QUEUE = "message_queue"
ETL = "etl"
class DataFlowDirection(Enum):
"""Direction of data flow"""
INBOUND = "inbound"
OUTBOUND = "outbound"
BIDIRECTIONAL = "bidirectional"
@dataclass
class DataFlow:
"""Represents a data flow between systems/modules"""
source_module: str
target_module: str
data_type: str
frequency: str # real-time, hourly, daily, weekly, manual
method: IntegrationMethod
direction: DataFlowDirection
volume: str # low, medium, high
critical: bool = False
issues: List[str] = field(default_factory=list)
@dataclass
class ERPSystem:
"""ERP system definition"""
name: str
vendor: str
version: str
modules: List[ER...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# ERP Integration Analysis
## Overview
Based on DDC methodology (Chapter 1.2), this skill analyzes ERP system integration patterns in construction organizations, mapping data flows between modules and identifying optimization opportunities.
**Book Reference:** "Технологии и системы управления в современном строительстве" / "Technologies and Management Systems in Modern Construction"
## Quick Start
```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Set, Tuple
from datetime import datetime
import json
class ERPModule(Enum):
"""Common ERP modules in construction"""
FINANCE = "finance"
PROJECT_MANAGEMENT = "project_management"
PROCUREMENT = "procurement"
INVENTORY = "inventory"
HR = "human_resources"
PAYROLL = "payroll"
EQUIPMENT = "equipment"
SUBCONTRACTS = "subcontracts"
BILLING = "billing"
COST_CONTROL = "cost_control"
DOCUMENT_MANAGEMENT = "document_management"
REPORTING = "reporting"
class IntegrationMethod(Enum):
"""Types of integration methods"""
API = "api"
DATABASE = "database"
FILE_EXPORT = "file_export"
MANUAL = "manual"
WEBHOOK = "webhook"
MESSAGE_QUEUE = "message_queue"
ETL = "etl"
class DataFlowDirection(Enum):
"""Direction of data flow"""
INBOUND = "inbound"
OUTBOUND = "outbound"
BIDIRECTIONAL = "bidirectional"
@dataclass
class DataFlow:
"""Represents a data flow between systems/modules"""
source_module: str
target_module: str
data_type: str
frequency: str # real-time, hourly, daily, weekly, manual
method: IntegrationMethod
direction: DataFlowDirection
volume: str # low, medium, high
critical: bool = False
issues: List[str] = field(default_factory=list)
@dataclass
class ERPSystem:
"""ERP system definition"""
name: str
vendor: str
version: str
modules: List[ER...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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