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Get Started Free →datadrivenconstruction/airflow-dag
Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.
Passed 22 of 23 test cases with the skill, and 8 of 23 without it.
and 20 more in the full report
14 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
When checking ConstructionDAGBuilder.DEFAULT_ARGS, what value is set for the retries configuration key?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies retries equal to 2 in DEFAULT_ARGS. | Missed | Passed |
The instructions your model reads when the skill loads.
Apache Airflow orchestrates complex data pipelines. This skill creates DAGs for construction ETL processes - from BIM extraction to cost reports.
from datetime import datetime, timedelta
from typing import Dict, Any, List, Optional, Callable
from dataclasses import dataclass
from enum import Enum
import json
class TaskStatus(Enum):
"""Task execution status."""
PENDING = "pending"
RUNNING = "running"
SUCCESS = "success"
FAILED = "failed"
SKIPPED = "skipped"
@dataclass
class DAGTask:
"""Single task in DAG."""
task_id: str
operator: str
params: Dict[str, Any]
upstream: List[str]
downstream: List[str]
@dataclass
class DAGConfig:
"""DAG configuration."""
dag_id: str
schedule: str
start_date: datetime
test cases passed, vs 8 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.