Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: dataclass

영문 디렉토리

Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.

282
Stars
64/100
신뢰
카테고리: design-creative감사

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

282
Stars
63/100
신뢰
카테고리: data-analysis감사

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

282
Stars
63/100
신뢰
카테고리: data-analysis감사

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

282
Stars
63/100
신뢰
카테고리: automation감사

Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.

282
Stars
61/100
신뢰
카테고리: automation감사

Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.

282
Stars
63/100
신뢰
카테고리: coding-agents감사

Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.

282
Stars
61/100
신뢰
카테고리: security감사

Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.

282
Stars
61/100
신뢰
카테고리: design-creative감사