DDC_Skills_for_AI_Agents_in_Construction
221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code
- 368 estrellas
- 91 forks
- 1 issues abiertos
- Lenguaje: Python
- Licencia: MIT
- actualizado
Instalación
git clone https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ~/.claude/skills/ddc-skills-for-ai-agents-in-construction- Clone the repository into your ~/.claude/skills directory (or copy the skill folder containing SKILL.md).
- Start a new Claude Code session so the skill registry reloads.
- 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
Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
Manage as-built documentation for project closeout. Track drawing markups, coordinate updates, and verify completeness.
Track as-built documentation and record drawings. Monitor submission status, manage revisions, and ensure completeness for handover.
Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.
Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.
Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Automated cost estimation from BIM models using DDC CWICR database (8 national bases, 78,228 positions). AI classification + vector search for accurate pricing.
Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
Analyze budget vs actual cost variances. Identify overruns, forecast final costs, and generate variance reports.
Forecast project cash flow based on schedule and cost data. Generate S-curves and payment projections.
Process and manage construction change orders. Track costs, approvals, and impact on schedule and budget.
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.
Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.
Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.
Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.
Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.
Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.
Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.
Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
Plan equipment requirements using CWICR norms. Calculate equipment hours, scheduling, utilization rates, and rental vs purchase analysis.
Resumen de Skills
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 368 estrellas en GitHub y su última actualización registrada es del 2026-10-19.
¿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 97/100 (tier: Verified). 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 del 2026-10-19, con 1 issues abiertos.
¿Hay alternativas a DDC_Skills_for_AI_Agents_in_Construction?
Sí. En ClaudeWave puedes explorar skills similares en /categories/skills, ordenados por popularidad o actividad reciente.