Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: dataclass

Englisches Verzeichnis

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

282
Stars
64/100
Trust
Kategorie: design-creativeAudit

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

282
Stars
63/100
Trust
Kategorie: data-analysisAudit

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

282
Stars
63/100
Trust
Kategorie: data-analysisAudit

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
Trust
Kategorie: automationAudit

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

282
Stars
61/100
Trust
Kategorie: automationAudit

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

282
Stars
63/100
Trust
Kategorie: coding-agentsAudit

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

282
Stars
61/100
Trust
Kategorie: securityAudit

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

282
Stars
61/100
Trust
Kategorie: design-creativeAudit