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Get Started Free →datadrivenconstruction/interoperability-analyzer
Analyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.
Passed 19 of 22 test cases with the skill, and 4 of 22 without it.
and 20 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
List the explicit technical capability flags defined for Navisworks NWC files.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies NWC as supporting geometry, properties, and scheduling, while lacking relationships, costs, and open standard status | Missed | Passed |
The instructions your model reads when the skill loads.
Data interoperability challenges:
Analyze data exchange patterns, identify interoperability issues, and recommend solutions for seamless data flow.
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class DataFormat(Enum):
IFC = "ifc"
RVT = "revit"
DWG = "autocad"
NWC = "navisworks"
SKP = "sketchup"
EXCEL = "excel"
CSV = "csv"
JSON = "json"
XML = "xml"
BCF = "bcf"
COBIE = "cobie"
class InteroperabilityLevel(Enum):
NATIVE = "native" # Same format
LOSSLESS = "lossless" # Full data preserved
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.