Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: dataclass

英語版ディレクトリ

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

282
Stars
64/100
信頼
カテゴリ: design-creative監査

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

282
Stars
63/100
信頼
カテゴリ: data-analysis監査

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

282
Stars
63/100
信頼
カテゴリ: data-analysis監査

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
信頼
カテゴリ: automation監査

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

282
Stars
61/100
信頼
カテゴリ: automation監査

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

282
Stars
63/100
信頼
カテゴリ: coding-agents監査

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

282
Stars
61/100
信頼
カテゴリ: security監査

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

282
Stars
61/100
信頼
カテゴリ: design-creative監査