Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: win32

Direktori bahasa Inggris

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

282
Stars
64/100
Kepercayaan
Kategori: design-creativeAudit

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

282
Stars
63/100
Kepercayaan
Kategori: data-analysisAudit

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

282
Stars
63/100
Kepercayaan
Kategori: 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
Kepercayaan
Kategori: automationAudit

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

282
Stars
61/100
Kepercayaan
Kategori: automationAudit

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

282
Stars
63/100
Kepercayaan
Kategori: coding-agentsAudit

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

282
Stars
61/100
Kepercayaan
Kategori: securityAudit

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

282
Stars
61/100
Kepercayaan
Kategori: design-creativeAudit