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Get Started Free →datadrivenconstruction/schedule-compression
Compress construction schedules using crashing and fast-tracking techniques. Analyze cost-time tradeoffs and find optimal acceleration strategies.
Passed 20 of 20 test cases with the skill, and 15 of 20 without it.
and 6 more in the full report
6 fixed16 passed either way0 still failing0 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.
A project manager seeks 5 days of critical path crashing for a water main replacement. The best available activity has a crash slope of $10,000 per day. The client provides a strict maximum budget allowance of $25,000. How many days of crashing will be executed before the optimization halts due to budget exhaustion?
| Checked | Without skill | With skill |
|---|---|---|
| Halts schedule crashing after achieving 2 days of reduction. | Missed | Passed |
The instructions your model reads when the skill loads.
Compress construction schedules when project deadlines are at risk. Apply crashing (adding resources) and fast-tracking (parallel activities) to accelerate delivery while managing cost and risk.
"Strategic compression can recover 20% of schedule with 10% cost increase" — DDC Community
┌─────────────────────────────────────────────────────────────────┐
│ SCHEDULE COMPRESSION │
├─────────────────────────────────────────────────────────────────┤
│ │
│ CRASHING FAST-TRACKING │
│ ──────── ───────────── │
│ Add resources to reduce Overlap sequential │
│ activity duration activities │
│ │
│ Before: ████████ (10d) Before: A ──→ B ──→ C │
│ After: █████ (5d) + $$$ After: A ──→ B │
│ └──→ C │
│ Cost: Higher labor/OT Risk: Rework if A changes │
│ │
└─────────────────────────────────────────────────────────────────┘
from dataclasses import dataclass, field
from typing import List, Dict, Optional, Tuple
from enum import Enum
class CompressionMethod(Enum):
CRASH = "crash"
FAST_TRACK = "fast_track"
HYBRID = "hybrid"
test cases passed, vs 15 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.