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Get Started Free →datadrivenconstruction/resource-allocation-optimizer
Optimize construction resource allocation across activities. Level resources, resolve over-allocations, and balance workload while minimizing schedule impact.
Passed 19 of 23 test cases with the skill, and 16 of 23 without it.
and 1 more in the full report
4 fixed15 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
When outputting an ASCII resource usage histogram for daily site equipment monitoring, what single character symbol is appended to a day line when demand exceeds maximum capacity?
| Checked | Without skill | With skill |
|---|---|---|
| Appends an exclamation mark '!' to indicate overallocation on a given day. | Missed | Passed |
The instructions your model reads when the skill loads.
Optimize resource allocation in construction schedules. Level workforce and equipment utilization, resolve over-allocations, and balance workload across the project duration.
"Resource leveling reduces peak demand by 30% and improves productivity" — DDC Community
Before Leveling: After Leveling:
Workers Workers
20│ ████ 15│ ████████████
15│ ████████ 10│████████████████
10│████████████ 5│████████████████████
5│██████████████████ 0└──────────────────────
0└──────────────────── Week 1 2 3 4 5 6
Week 1 2 3 4 5
Peak reduced, duration extended
from dataclasses import dataclass, field
from typing import List, Dict, Optional, Tuple
from datetime import datetime, timedelta
from collections import defaultdict
import heapq
@dataclass
class Resource:
id: str
name: str
resource_type: str # labor, equipment, material
capacity: float # units available per day
cost_per_unit: float = 0.0
skills: List[str] = field(default_factory=list)
test cases passed, vs 16 / 23 without
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