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".
Best use case
clari-deploy-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using clari-deploy-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/clari-deploy-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clari-deploy-integration Compares
| Feature / Agent | clari-deploy-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
```python
# 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
```python
# 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
```python
# 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
- [Airflow Documentation](https://airflow.apache.org/docs/)
- [AWS Lambda](https://docs.aws.amazon.com/lambda/)
## Next Steps
For webhook setup, see `clari-webhooks-events`.Related Skills
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