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datadrivenconstruction

DDC_Skills_for_AI_Agents_in_Construction

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221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code

Skills173 estrellas50 forksPythonMITActualizado 3mo ago
ClaudeWave Trust Score
87/100
Trusted
Passed
  • Open-source license (MIT)
  • Healthy fork ratio
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install as a Claude Code skill
Method: Clone
Terminal
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ~/.claude/skills/ddc-skills-for-ai-agents-in-construction
1. Clone the repository into your ~/.claude/skills directory (or copy the skill folder containing SKILL.md).
2. Start a new Claude Code session so the skill registry reloads.
3. Invoke it by name, or let Claude trigger it automatically when the task matches.
💡 If the repo bundles several skills, copy only the folders you need.

24 items en este repositorio

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

Instalar

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

Instalar

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

Instalar

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

Instalar

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

Instalar

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

Instalar

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

Instalar

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

Instalar

Analyze field progress photos. Catalog, tag, and compare against planned progress.

Instalar

Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.

Instalar

Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.

Instalar

Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.

Instalar

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.

Instalar

Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.

Instalar

Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.

Instalar

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

Instalar

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Instalar

Convert RVT files to IFC format. Support IFC2x3, IFC4, IFC4.3 with customizable export settings.

Instalar

Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.

Instalar

Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.

Instalar

Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.

Instalar

Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.

Instalar

Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.

Instalar

Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.

Instalar
Casos de uso

Resumen de Skills

README no disponible. Visita el repo en GitHub para la documentación completa.
aec-industryai-agentsautomationbimclaude-codeclaude-skillsconstructionconstruction-managementcost-estimationgoogle-antigravityn8nskills

Lo que la gente pregunta sobre DDC_Skills_for_AI_Agents_in_Construction

¿Qué es datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction?

+

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction es skills para el ecosistema de Claude AI. 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code Tiene 173 estrellas en GitHub y se actualizó por última vez 3mo ago.

¿Cómo se instala DDC_Skills_for_AI_Agents_in_Construction?

+

Puedes instalar DDC_Skills_for_AI_Agents_in_Construction clonando el repositorio (https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction?

+

Nuestro agente de seguridad ha analizado datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction?

+

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction es mantenido por datadrivenconstruction. La última actividad registrada en GitHub es de 3mo ago, con 2 issues abiertos.

¿Hay alternativas a DDC_Skills_for_AI_Agents_in_Construction?

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Sí. En ClaudeWave puedes explorar skills similares en /categories/skills, ordenados por popularidad o actividad reciente.

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