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data-type-classifier

Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

datadrivenconstruction0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install datadrivenconstruction/data-type-classifier

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Data Type Classifier

Overview

Based on DDC methodology (Chapter 2.1), this skill classifies construction data by type, analyzes data sources, and recommends appropriate storage, processing, and integration methods.

Book Reference: "Типы данных в строительстве" / "Data Types in Construction"

Quick Start

from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Tuple
from datetime import datetime
import json
import re
import mimetypes

class DataStructure(Enum):
    """Data structure classification"""
    STRUCTURED = "structured"           # Tables, databases, spreadsheets
    SEMI_STRUCTURED = "semi_structured" # JSON, XML, IFC
    UNSTRUCTURED = "unstructured"       # Documents, images, videos
    GEOMETRIC = "geometric"             # CAD, BIM geometry
    TEMPORAL = "temporal"               # Time-series, schedules
    SPATIAL = "spatial"                 # GIS, coordinates

class DataFormat(Enum):
    """Common construction data formats"""
    # Structured
    CSV = "csv"
    EXCEL = "excel"
    SQL = "sql"
    PARQUET = "parquet"

    # Semi-structured
    JSON = "json"
    XML = "xml"
    IFC = "ifc"
    BCF = "bcf"

    # Unstructured
    PDF = "pdf"
    DOCX = "docx"
    IMAGE = "image"
    VIDEO = "video"

    # Geometric
    DWG = "dwg"
    DXF = "dxf"
    RVT = "rvt"
    NWD = "nwd"
    OBJ = "obj"
    STL = "stl"

    # Schedule
    MPP = "mpp"
    P6 = "p6"
    XER = "xer"

class StorageRecommendation(Enum):
    """Storage system recommendations"""
    RELATIONAL_DB = "relational_database"
    DOCUMENT_DB = "document_database"
    OBJECT_STORAGE = "object_storage"
    GRAPH_DB = "graph_database"
    TIME_SERIES_DB = "time_series_database"
    VECTOR_DB = "vector_database"
    FILE_SYSTEM = "file_system"
    DATA_LAKE = "data_lake"

@dataclass
class DataCharacteristics:
    """Characteristics of a data sour...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/datadrivenconstruction/data-type-classifier
Version
—
Commit
300f8ab88df3047c8001cd236d33ff7506580a1e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Data Type Classifier

## Overview

Based on DDC methodology (Chapter 2.1), this skill classifies construction data by type, analyzes data sources, and recommends appropriate storage, processing, and integration methods.

**Book Reference:** "Типы данных в строительстве" / "Data Types in Construction"

## Quick Start

```python
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Dict, Optional, Any, Tuple
from datetime import datetime
import json
import re
import mimetypes

class DataStructure(Enum):
    """Data structure classification"""
    STRUCTURED = "structured"           # Tables, databases, spreadsheets
    SEMI_STRUCTURED = "semi_structured" # JSON, XML, IFC
    UNSTRUCTURED = "unstructured"       # Documents, images, videos
    GEOMETRIC = "geometric"             # CAD, BIM geometry
    TEMPORAL = "temporal"               # Time-series, schedules
    SPATIAL = "spatial"                 # GIS, coordinates

class DataFormat(Enum):
    """Common construction data formats"""
    # Structured
    CSV = "csv"
    EXCEL = "excel"
    SQL = "sql"
    PARQUET = "parquet"

    # Semi-structured
    JSON = "json"
    XML = "xml"
    IFC = "ifc"
    BCF = "bcf"

    # Unstructured
    PDF = "pdf"
    DOCX = "docx"
    IMAGE = "image"
    VIDEO = "video"

    # Geometric
    DWG = "dwg"
    DXF = "dxf"
    RVT = "rvt"
    NWD = "nwd"
    OBJ = "obj"
    STL = "stl"

    # Schedule
    MPP = "mpp"
    P6 = "p6"
    XER = "xer"

class StorageRecommendation(Enum):
    """Storage system recommendations"""
    RELATIONAL_DB = "relational_database"
    DOCUMENT_DB = "document_database"
    OBJECT_STORAGE = "object_storage"
    GRAPH_DB = "graph_database"
    TIME_SERIES_DB = "time_series_database"
    VECTOR_DB = "vector_database"
    FILE_SYSTEM = "file_system"
    DATA_LAKE = "data_lake"

@dataclass
class DataCharacteristics:
    """Characteristics of a data sour...

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