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Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.
Passed 24 of 25 test cases with the skill, and 10 of 25 without it.
and 14 more in the full report
15 fixed9 passed either way0 still failing1 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.
What is the maximum number of alternative work items returned by `find_alternatives` after sorting by financial savings?
| Checked | Without skill | With skill |
|---|---|---|
| Caps the returned alternatives list at 10 items. | Missed | Passed |
The instructions your model reads when the skill loads.
Projects often exceed budget:
Systematic value engineering using CWICR data to identify cost-effective alternatives, analyze trade-offs, and document decisions.
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple
from dataclasses import dataclass, field
from datetime import date
from enum import Enum
class VECategory(Enum):
"""Value engineering categories."""
MATERIAL = "material"
METHOD = "method"
DESIGN = "design"
SPECIFICATION = "specification"
SYSTEM = "system"
test cases passed, vs 10 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.