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Get Started Free →datadrivenconstruction/erp-data-extractor
Extract and analyze data from construction ERP systems. Pull project data for analytics, reporting, and integration.
Passed 21 of 24 test cases with the skill, and 4 of 24 without it.
and 21 more in the full report
18 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the extractor's transform_data method, what specific formula string value must be provided to calculate column differences between two numerical columns?
| Checked | Without skill | With skill |
|---|---|---|
| Requires string 'variance' for formula key in calculate transformation | Missed | Passed |
The instructions your model reads when the skill loads.
ERP data extraction challenges:
Structured extraction and transformation of construction ERP data for analytics, reporting, and cross-system integration.
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import date, datetime
from enum import Enum
import json
class ERPModule(Enum):
PROJECT = "project"
COST = "cost"
PROCUREMENT = "procurement"
INVENTORY = "inventory"
HR = "hr"
EQUIPMENT = "equipment"
SUBCONTRACT = "subcontract"
BILLING = "billing"
@dataclass
class DataSource:
name: str
module: ERPModule
test cases passed, vs 4 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.