batch-cad-converter
Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.
Install / Use
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill batch-cad-converterInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of batch-cad-converter
batch-cad-converter scores 91/100 on our quality scale, 1204th of 4,644 Development & Engineering skills we index (top 26%).
Its SKILL.md is 14 KB long, well organised into 16 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.
It has 333 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 44 days ago, so batch-cad-converter is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
batch-cad-converter compared with similar skills
All 4 of these similar skills score higher than batch-cad-converter; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| batch-cad-converter (this skill)by datadrivenconstruction | 91 | 333 | 44d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 91.2k | 19d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.4k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 45.0k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 5d ago | CLAUDE.md |
Frequently asked questions
- How do I install batch-cad-converter?
- Run
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill batch-cad-converter. The install tabs above show the steps for each supported agent. - Which AI agents does batch-cad-converter work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is batch-cad-converter safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is batch-cad-converter still maintained?
- The repository was last updated 44 days ago, so batch-cad-converter is actively maintained.
Skill content
View source on GitHubname: "batch-cad-converter" description: "Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw":{"emoji":"🔄","os":["win32"],"homepage":"https://datadrivenconstruction.io","requires":{"bins":["python3"],"anyBins":["RvtExporter","DwgExporter","DgnExporter","RVT2IFCconverter"]}}}
Batch CAD/BIM Converter
Business Case
Problem Statement
Large projects and archives contain hundreds or thousands of CAD/BIM files:
- Manual conversion is tedious and error-prone
- Different formats require different converters
- Progress tracking is needed for long operations
- Error handling is critical for large batches
Solution
Unified batch converter handling all supported formats with progress tracking, error recovery, and consolidated reporting.
Business Value
- Multi-format - Revit, IFC, DWG, DGN in one workflow
- Error recovery - Continue on failures
- Progress tracking - Monitor large batches
- Reporting - Consolidated conversion results
Python Implementation
import subprocess
from pathlib import Path
from typing import List, Optional, Dict, Any, Callable
from dataclasses import dataclass, field
from datetime import datetime
import time
import json
from enum import Enum
from concurrent.futures import ThreadPoolExecutor, as_completed
class CADFormat(Enum):
"""Supported CAD/BIM formats."""
REVIT = (".rvt", ".rfa")
IFC = (".ifc",)
DWG = (".dwg",)
DGN = (".dgn",)
class ConversionStatus(Enum):
"""Status of conversion operation."""
PENDING = "pending"
CONVERTING = "converting"
SUCCESS = "success"
FAILED = "failed"
SKIPPED = "skipped"
@dataclass
class ConversionResult:
"""Result of single file conversion."""
input_file: str
output_file: Optional[str]
format: str
status: ConversionStatus
start_time: datetime
end_time: Optional[datetime]
duration_seconds: float
error_message: Optional[str] = None
file_size_kb: float = 0
@dataclass
class BatchResult:
"""Result of batch conversion."""
total_files: int
successful: int
failed: int
skipped: int
total_duration: float
results: List[ConversionResult]
start_time: datetime
end_time: datetime
class BatchCADConverter:
"""Batch convert multiple CAD/BIM files."""
# Default converter paths
DEFAULT_CONVERTERS = {
'revit': 'RvtExporter.exe',
'ifc': 'IfcExporter.exe',
'dwg': 'DwgExporter.exe',
'dgn': 'DgnExporter.exe'
}
def __init__(self, converter_dir: str = ".",
converters: Dict[str, str] = None):
self.converter_dir = Path(converter_dir)
self.converters = converters or self.DEFAULT_CONVERTERS
self.results: List[ConversionResult] = []
self.progress_callback: Optional[Callable] = None
def set_progress_callback(self, callback: Callable[[int, int, str], None]):
"""Set callback for progress updates."""
self.progress_callback = callback
def _get_format(self, file_path: Path) -> Optional[str]:
"""Detect CAD format from extension."""
ext = file_path.suffix.lower()
for format_name, extensions in [
('revit', ('.rvt', '.rfa')),
('ifc', ('.ifc',)),
('dwg', ('.dwg',)),
('dgn', ('.dgn',))
]:
if ext in extensions:
return format_name
return None
def _get_converter(self, format_name: str) -> Optional[Path]:
"""Get converter path for format."""
if format_name not in self.converters:
return None
converter = self.converter_dir / self.converters[format_name]
if converter.exists():
return converter
# Try in system PATH
return Path(self.converters[format_name])
def convert_file(self, input_file: str,
output_dir: Optional[str] = None,
options: List[str] = None) -> ConversionResult:
"""Convert single file."""
input_path = Path(input_file)
start_time = datetime.now()
# Detect format
format_name = self._get_format(input_path)
if not format_name:
return ConversionResult(
input_file=input_file,
output_file=None,
format='unknown',
status=ConversionStatus.SKIPPED,
start_time=start_time,
end_time=datetime.now(),
duration_seconds=0,
error_message="Unsupported format"
)
# Get converter
converter = self._get_converter(format_name)
if not converter:
return ConversionResult(
input_file=input_file,
output_file=None,
format=format_name,
status=ConversionStatus.FAILED,
start_time=start_time,
end_time=datetime.now(),
duration_seconds=0,
error_message=f"Converter not found for {format_name}"
)
# Build command
cmd = [str(converter), str(input_path)]
if options:
cmd.extend(options)
# Execute
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=3600)
end_time = datetime.now()
duration = (end_time - start_time).total_seconds()
# Determine output file
output_file = input_path.with_suffix('.xlsx')
if output_dir:
output_file = Path(output_dir) / output_file.name
if result.returncode == 0 and output_file.exists():
return ConversionResult(
input_file=input_file,
output_file=str(output_file),
format=format_name,
status=ConversionStatus.SUCCESS,
start_time=start_time,
end_time=end_time,
duration_seconds=duration,
file_size_kb=output_file.stat().st_size / 1024
)
else:
return ConversionResult(
input_file=input_file,
output_file=None,
format=format_name,
status=ConversionStatus.FAILED,
start_time=start_time,
end_time=end_time,
duration_seconds=duration,
error_message=result.stderr or "Conversion failed"
)
except subprocess.TimeoutExpired:
return ConversionResult(
input_file=input_file,
output_file=None,
format=format_name,
status=ConversionStatus.FAILED,
start_time=start_time,
end_time=datetime.now(),
duration_seconds=3600,
error_message="Timeout exceeded (1 hour)"
)
except Exception as e:
return ConversionResult(
input_file=input_file,
output_file=None,
format=format_name,
status=ConversionStatus.FAILED,
start_time=start_time,
end_time=datetime.now(),
duration_seconds=0,
error_message=str(e)
)
def batch_convert(self, input_folder: str,
output_folder: Optional[str] = None,
include_subfolders: bool = True,
formats: List[str] = None,
options: Dict[str, List[str]] = None,
parallel: bool = False,
max_workers: int = 4) -> BatchResult:
"""Convert all files in folder."""
start_time = datetime.now()
input_path = Path(input_folder)
# Find all supported files
files = []
pattern = "**/*" if include_subfolders else "*"
for ext in ['.rvt', '.rfa', '.ifc', '.dwg', '.dgn']:
files.extend(input_path.glob(f"{pattern}{ext}"))
# Filter by format if specified
if formats:
files = [f for f in files if self._get_format(f) in formats]
total_files = len(files)
self.results = []
# Create output directory
if output_folder:
Path(output_folder).mkdir(parents=True, exist_ok=True)
# Process files
if parallel and total_files > 1:
self._convert_parallel(files, output_folder, options, max_workers)
else:
self._convert_sequential(files, output_folder, options)
end_time = datetime.now()
# Calculate statistics
successful = sum(1 for r in self.results if r.status == ConversionStatus.SUCCESS)
failed = sum(1 for r in self.results if r.status == ConversionStatus.FAILED)
skipped = sum(1 for r in self.results if r.status == ConversionStatus.SKIPPED)
return BatchResult(
total_files=total_files,
successful=successful,
failed=failed,
skipped=skipped,
total_duration=(end_time - start_time).total_seconds(),
results=self.results,
start_time=start_time,
end_time=end_time
)
def _convert_sequential(self, files: List[Path],
output_folder: Optional[str],
options: Dict[str, List[str]]):
"""Convert files sequentially."""
total = len(files)
for i, file_path in enumerate(files, 1):
if self.progress_callback:
self.progress_callback(i, total, str(file_path))
format_name = self._get_format(file_path)
format_options = options.get(format_name, []) if options else []
result = self.convert_file(str(file_path), output_folder, format_options)
self.results.append(result)
status_symbol = "✓" if result.status == ConversionStatus.SUCCESS else "✗"
print(f"[{i}/{total}] {status_symbol} {file_path.name}")
def _convert_parallel(self, files: List[Path],
output_folder: Optional[str],
options: Dict[str, List[str]],
max_workers: int):
"""Convert files in parallel."""
total = len(files)
with ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = {}
for file_path in files:
format_name = self._get_format(file_path)
format_options = options.get(format_name, []) if options else []
future = executor.submit(self.convert_file, str(file_path), output_folder, format_options)
futures[future] = file_path
completed = 0
for future in as_completed(futures):
completed += 1
result = future.result()
self.results.append(result)
if self.progress_callback:
self.progress_callback(completed, total, str(futures[future]))
def generate_report(self, batch_result: BatchResult,
output_path: str = None) -> str:
"""Generate conversion report."""
report = {
'summary': {
'total_files': batch_result.total_files,
'successful': batch_result.successful,
'failed': batch_result.failed,
'skipped': batch_result.skipped,
'success_rate': round(batch_result.successful / batch_result.total_files * 100, 1) if batch_result.total_files > 0 else 0,
'total_duration_seconds': round(batch_result.total_duration, 2),
'start_time': batch_result.start_time.isoforma
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
