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Get Started Free →datadrivenconstruction/workflow-automation
Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.
Passed 22 of 22 test cases with the skill, and 5 of 22 without it.
and 30 more in the full report
17 fixed5 passed either way0 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.
When exporting a workflow without an explicit schedule interval to an Airflow DAG file using the built-in generator, what schedule interval identifier is emitted in the python script?
| Checked | Without skill | With skill |
|---|---|---|
| The generated Airflow DAG uses @daily as the schedule_interval string. | Missed | Passed |
The instructions your model reads when the skill loads.
Data workflow challenges:
Automated workflow system for construction data pipelines with task dependencies, scheduling, and monitoring.
import pandas as pd
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from enum import Enum
import json
class TaskStatus(Enum):
PENDING = "pending"
RUNNING = "running"
SUCCESS = "success"
FAILED = "failed"
SKIPPED = "skipped"
class TriggerType(Enum):
MANUAL = "manual"
SCHEDULED = "scheduled"
EVENT = "event"
DEPENDENCY = "dependency"
test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.