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Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.
Passed 21 of 25 test cases with the skill, and 11 of 25 without it.
and 9 more in the full report
11 fixed10 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
When rendering the top category distribution chart in the automated reporting script, how many top categories are sliced from the category distribution DataFrame for display?
| Checked | Without skill | With skill |
|---|---|---|
| Script limits top categories DataFrame slice using head(15) | Missed | Passed |
The instructions your model reads when the skill loads.
Construction companies lack industry benchmarks because:
Analyze 5000+ IFC and Revit projects to extract patterns, create benchmarks, and train ML models for prediction.
| Metric | Value |
|---|---|
| Total Projects | 5000+ |
| File Formats | IFC, RVT |
| Elements | Millions |
| Categories | 200+ |
import pandas as pd
import numpy as np
from pathlib import Path
from typing import Dict, List
import matplotlib.pyplot as plt
import seaborn as sns
class BIMProjectAnalyzer:
test cases passed, vs 11 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.