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Carto Connect Datawarehouse

skill-cartodb-agent-skills-carto-connect-datawarehouse · by CartoDB

Choose and configure the data warehouse engine connection for CARTO (BigQuery, Snowflake, Redshift, Postgres, Databricks, Oracle).

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Install

$ agentstack add skill-cartodb-agent-skills-carto-connect-datawarehouse

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

carto-connect-datawarehouse

CARTO runs spatial analytics in the user's own data warehouse. A connection is the bridge between CARTO and that warehouse: it carries credentials, target project/database scoping, and sometimes a service account or PAT. Most other CARTO operations (querying, importing, building maps, running workflows) require an existing connection.

When to use this skill

  • The user wants to connect a new warehouse to CARTO.
  • The user is debugging a connection (auth failures, missing tables, permission errors).
  • A downstream skill needs a connection name and you don't yet know which engine the user has.
  • The user is rotating credentials or moving from one project/database to another.

Use [carto-explore-datawarehouse](../carto-explore-datawarehouse) once a connection exists and you want to inspect what's inside it.

Quick lifecycle

carto connections list --json             # what's already connected?
carto connections get                 # detailed view of one connection
carto connections create                  # interactive create
carto connections update              # rotate credentials, change scoping
carto connections delete              # remove (irreversible)

connections list and connections get are non-destructive — agents should run them freely before deciding what to do.

Choosing an engine

| Engine | When to choose it | Reference | |---|---|---| | BigQuery | Google Cloud users; CARTO's flagship integration; rich GIS functions native. | [references/bigquery.md](references/bigquery.md) | | Snowflake | Snowflake-shop customers; geospatial via SQL functions and Snowflake-native types. | [references/snowflake.md](references/snowflake.md) | | Redshift | AWS-shop customers on Redshift Serverless or RA3 clusters. | [references/redshift.md](references/redshift.md) | | Postgres | Self-hosted or RDS Postgres with PostGIS; common for small/medium deployments. | [references/postgres.md](references/postgres.md) | | Databricks | Lakehouse / Unity Catalog users; SQL Warehouses recommended for interactive workloads. | [references/databricks.md](references/databricks.md) | | Oracle | Oracle Database with Spatial; on-prem or OCI / Autonomous Database deployments. | [references/oracle.md](references/oracle.md) |

> If the user already has a connection (connections list returns at least one), don't push a new one — use the existing one.

Listing options

carto connections list                    # default page (10)
carto connections list --all              # all pages
carto connections list --search "prod"    # filter by name
carto connections list --json             # machine-readable

Common pitfalls

  • Auth-mode mismatch: BigQuery supports OAuth (interactive) and service-account JSON (CI). Pick one consistently per environment; mixing the two breaks shared connections.
  • Region vs project: Some engines need both an account/project and a region (Snowflake, Redshift). Skipping the region typically yields "endpoint not found" rather than a permissions error.
  • Default database/schema scoping: CARTO can write tilesets, named sources, and analytics output back into the warehouse. Confirm with the user which dataset/schema CARTO is allowed to write to before creating the connection.
  • Permissions for connections describe and table reads come from the credential CARTO holds, not from the user's CARTO role. A CARTO Admin with a low-privilege service account will still see "permission denied" from the warehouse.

What this skill doesn't cover

  • Browsing tables/schemas of an existing connection — that's [carto-explore-datawarehouse](../carto-explore-datawarehouse).
  • Running SQL against the warehouse — that's [carto-query-datawarehouse](../carto-query-datawarehouse).
  • Importing files into the warehouse — that's [carto-import-export-data](../carto-import-export-data).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.