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Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.
Passed 9 of 20 test cases with the skill, and 5 of 20 without it.
and 4 more in the full report
4 fixed6 passed either way12 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact hex color codes are specified for 'Slab', 'Wall', and 'Finishes' categories in 4D schedule Gantt charts?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns hex color #DC143C to Slab elements | Missed | Passed |
| Assigns hex color #FF8C00 to Wall elements | Missed | Passed |
| Assigns hex color #FFD700 to Finishes elements | Passed | Passed |
The instructions your model reads when the skill loads.
Based on DDC methodology (Chapter 3.3), this skill implements 4D BIM simulations - linking 3D model elements to the 4th dimension: time. Visualize construction sequences, detect scheduling conflicts, and optimize work phasing.
Book Reference: "4D, 6D-8D и расчет CO2" / "4D-8D BIM and CO2 Calculation"
"4D моделирование позволяет визуализировать последовательность строительства и выявлять конфликты на этапе планирования." — DDC Book, Chapter 3.3
import pandas as pd
from datetime import datetime, timedelta
# BIM elements with schedule data
elements = pd.DataFrame({
'ElementId': ['E001', 'E002', 'E003', 'E004'],
'Category': ['Foundation', 'Column', 'Beam', 'Slab'],
'Level': ['Level 0', 'Level 1', 'Level 1', 'Level 1'],
'Start_Date': ['2024-01-01', '2024-01-15', '2024-02-01', '2024-02-15'],
'End_Date': ['2024-01-14', '2024-01-31', '2024-02-14', '2024-02-28'],
'Phase': ['Structure', 'Structure', 'Structure', 'Structure']
})
elements['Start_Date'] = pd.to_datetime(elements['Start_Date'])
elements['End_Date'] = pd.to_datetime(elements['End_Date'])
elements['Duration_Days'] = (elements['End_Date'] - elements['Start_Date']).dt.days
# Get elements active on a specific date
target_date = pd.to_datetime('2024-01-20')
active_elements = elements[
(elements['Start_Date'] <= target_date) &
(elements['End_Date'] >= target_date)
]
print(f"Elements under construction on {target_date.date()}:")
print(active_elements[['ElementId', 'Category']])
test cases passed, vs 5 / 20 without
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