Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.
SkillScore91Maintained
Automatic
◆Real Estate & Property pack
Last verified 8/27/2026
What it changes
Passed 19 of 21 test cases with the skill, and 5 of 21 without it.
Without skill22%
With skill91%
Checks it passed that the model alone missed
Passes category set to Carpentry
Passes 4.5 as the percentage value
Passes RateType.LABOR as the rate type
and 22 more in the full report
16 fixed5 passed either way2 still failing0 broke
Pass-rate lift
+70 pp
Tokens
+199%
Agent turns
0%
Response time
-8%
Model gemini-3.6-flashMeasured 8/27/2026v221 of 23 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 15
Prompt
We want to inspect existing labor pricing in our dataset before modifying anything. Write the call to retrieve only the labor rates filtered for items matching Carpentry.
What was checked, without and with the skill
Checked
Without skill
With skill
Calls get_current_rates with RateType.LABOR
Missed
Passed
Passes category set to Carpentry
Missed
Passed
case-10 · gemini-3.6-flash · 8/27/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md499 linessingle file
CWICR Rate Updater
Business Case
Problem Statement
Resource rates become outdated:
Material prices fluctuate with market
Labor rates change annually
Equipment costs vary by region
Historical rates need adjustment
Solution
Systematic rate updates integrating market data, inflation indices, and regional factors while maintaining audit trail.
Business Value
Accuracy - Current market pricing
Flexibility - Update specific resources or categories
Audit trail - Track rate changes over time
Automation - Integrate with price APIs
Technical Implementation
import pandas as pd
import numpy as np
from typing import Dict, Any, List, Optional, Tuple, Callable
from dataclasses import dataclass, field
from datetime import datetime, date
from enum import Enum
import json
class RateType(Enum):
"""Types of rates."""
LABOR = "labor"
MATERIAL = "material"
EQUIPMENT = "equipment"
SUBCONTRACT = "subcontract"