Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Rvt To Excel
Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.
skill openclawclawhub Free
Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- claw.json, instructions.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.0.0
Provenance
- Publisher
- datadrivenconstruction
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Problem Statement
BIM data inside RVT files needs to be extracted for: Processing multiple projects in batch Integrating BIM data with analytics pipelines Sharing structured data with stakeholders Generating reports and quantity takeoffs
Solution
Convert RVT files to structured Excel databases for analysis and reporting.
Business Value
Batch processing - Convert multiple projects Data accessibility - Excel format for universal access Pipeline integration - Feed data to BI tools, ML models Structured output - Organized element data and properties
CLI Syntax
RvtExporter.exe <input_path> [export_mode] [options]
Export Modes
ModeCategoriesDescriptionbasic309Essential structural elementsstandard724Standard BIM categoriescomplete1209All Revit categoriescustomUser-definedSpecific categories only
Options
OptionDescriptionbboxInclude bounding box coordinatesroomsInclude room associationsschedulesExport all schedules to sheetssheetsExport sheets to PDF
Examples
# Basic export RvtExporter.exe "C:\Projects\Building.rvt" basic # Complete with bounding boxes RvtExporter.exe "C:\Projects\Building.rvt" complete bbox # Full export with all options RvtExporter.exe "C:\Projects\Building.rvt" complete bbox rooms schedules sheets # Batch processing for /R "C:\Projects" %f in (*.rvt) do RvtExporter.exe "%f" standard bbox
Python Integration
import subprocess import pandas as pd from pathlib import Path from typing import List, Optional class RevitExporter: def __init__(self, exporter_path: str = "RvtExporter.exe"): self.exporter = Path(exporter_path) if not self.exporter.exists(): raise FileNotFoundError(f"RvtExporter not found: {exporter_path}") def convert(self, rvt_file: str, mode: str = "complete", options: List[str] = None) -> Path: """Convert Revit file to Excel.""" rvt_path = Path(rvt_file) if not rvt_path.exists(): raise FileNotFoundError(f"Revit file not found: {rvt_file}") cmd = [str(self.exporter), str(rvt_path), mode] if options: cmd.extend(options) result = subprocess.run(cmd, capture_output=True, text=True) if result.returncode != 0: raise RuntimeError(f"Export failed: {result.stderr}") # Output file is same name with .xlsx extension output_file = rvt_path.with_suffix('.xlsx') return output_file def batch_convert(self, folder: str, mode: str = "standard", pattern: str = "*.rvt") -> List[Path]: """Convert all Revit files in folder.""" folder_path = Path(folder) converted = [] for rvt_file in folder_path.glob(pattern): try: output = self.convert(str(rvt_file), mode) converted.append(output) print(f"Converted: {rvt_file.name}") except Exception as e: print(f"Failed: {rvt_file.name} - {e}") return converted def read_elements(self, xlsx_file: str) -> pd.DataFrame: """Read converted Excel as DataFrame.""" return pd.read_excel(xlsx_file, sheet_name="Elements") def get_quantities(self, xlsx_file: str, group_by: str = "Category") -> pd.DataFrame: """Get quantity summary grouped by category.""" df = self.read_elements(xlsx_file) # Group and count summary = df.groupby(group_by).agg({ 'ElementId': 'count', 'Area': 'sum', 'Volume': 'sum' }).reset_index() summary.columns = [group_by, 'Count', 'Total_Area', 'Total_Volume'] return summary
Excel Sheets
SheetContentElementsAll BIM elements with propertiesCategoriesElement categories summaryLevelsBuilding levelsMaterialsMaterial definitionsParametersShared parameters
Element Columns
ColumnTypeDescriptionElementIdintUnique Revit IDCategorystringElement categoryFamilystringFamily nameTypestringType nameLevelstringAssociated levelAreafloatSurface area (m²)VolumefloatVolume (m³)BBox_MinX/Y/ZfloatBounding box minBBox_MaxX/Y/ZfloatBounding box max
Usage Example
# Initialize exporter exporter = RevitExporter("C:/Tools/RvtExporter.exe") # Convert single file xlsx = exporter.convert("C:/Projects/Office.rvt", "complete", ["bbox", "rooms"]) # Read and analyze df = exporter.read_elements(str(xlsx)) print(f"Total elements: {len(df)}") # Quantity summary quantities = exporter.get_quantities(str(xlsx)) print(quantities) # Export to CSV for further processing df.to_csv("elements.csv", index=False)
Integration with DDC Pipeline
# Full pipeline: Revit → Excel → Cost Estimate from semantic_search import CWICRSemanticSearch # 1. Convert Revit exporter = RevitExporter() xlsx = exporter.convert("project.rvt", "complete", ["bbox"]) # 2. Extract quantities df = exporter.read_elements(str(xlsx)) quantities = df.groupby('Category')['Volume'].sum().to_dict() # 3. Search CWICR for pricing search = CWICRSemanticSearch() costs = {} for category, volume in quantities.items(): results = search.search_work_items(category, limit=5) if not results.empty: avg_price = results['unit_price'].mean() costs[category] = volume * avg_price print(f"Total estimate: ${sum(costs.values()):,.2f}")
Best Practices
Use appropriate mode - basic for quick analysis, complete for full data Include bbox - Required for spatial analysis and visualization Batch carefully - Large files may take time; process overnight Validate output - Check element counts against Revit schedules
Resources
GitHub: cad2data Pipeline Download: See repository releases for RvtExporter.exe
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Config
- SKILL.md
- instructions.md
- claw.json