Clari deploy integration

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/clari-deploy-integration

Deploy Clari export pipelines to production with Airflow, Cloud Functions, or Lambda. Use when scheduling automated exports, deploying to cloud platforms, or setting up serverless Clari sync. Trigger with phrases like "deploy clari", "clari airflow", "clari lambda", "clari cloud function", "clari scheduled export".From its SKILL.md

Install

npx -y skills add ComeOnOliver/skillshub --skill clari-deploy-integration

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Clari Deploy Integration

Overview

Deploy Clari export pipelines to production environments: Airflow DAGs, AWS Lambda, or Google Cloud Functions for scheduled, serverless execution.

Instructions

Airflow DAG

# dags/clari_export_dag.py
from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.models import Variable
from datetime import datetime, timedelta

def export_clari_forecast(**context):
    from clari_client import ClariClient, ClariConfig

    client = ClariClient(ClariConfig(
        api_key=Variable.get("clari_api_key"),
    ))

    period = context["params"].get("period", "2026_Q1")
    data = client.export_and_download("company_forecast", period)

    entries = data.get("entries", [])
    context["ti"].xcom_push(key="entry_count", value=len(entries))
    # Load to warehouse here

dag = DAG(
    "clari_daily_export",
    schedule_interval="0 6 * * *",
    start_date=datetime(2026, 1, 1),
    catchup=False,
    default_args={"retries": 2, "retry_delay": timedelta(minutes=5)},
)

export_task = PythonOperator(
    task_id="export_forecast",
    python_callable=export_clari_forecast,
    dag=dag,
)

AWS Lambda

# lambda_handler.py
import json
import boto3
from clari_client import ClariClient, ClariConfig

def handler(event, context):
    ssm = boto3.client("ssm")
    api_key = ssm.get_parameter(
        Name="/clari/api-key", WithDecryption=True
    )["Parameter"]["Value"]

    client = ClariClient(ClariConfig(api_key=api_key))
    data = client.export_and_download(
        event.get("forecast_name", "company_forecast"),
        event.get("period", "2026_Q1"),
    )

    return {
        "statusCode": 200,
        "body": json.dumps({"entries": len(data.get("entries", []))}),
    }

Google Cloud Function

# main.py
import functions_framework
from google.cloud import secretmanager
from clari_client import ClariClient, ClariConfig

@functions_framework.http
def clari_export(request):
    sm = secretmanager.SecretManagerServiceClient()
    secret = sm.access_secret_version(name="projects/my-proj/secrets/clari-api-key/versions/latest")
    api_key = secret.payload.data.decode()

    client = ClariClient(ClariConfig(api_key=api_key))
    data = client.export_and_download("company_forecast", "2026_Q1")

    return {"entries": len(data.get("entries", []))}

Error Handling

Issue	Cause	Solution
Lambda timeout	Export takes > 15min	Use Step Functions for long jobs
Secret not found	Wrong parameter path	Verify SSM/Secret Manager path
Airflow task fails	Rate limited	Add retries with backoff

Resources

Next Steps

For webhook setup, see clari-webhooks-events.

What ships with it

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