About this skill

Problem

Guandata CLI components cover different objects: guancli, guands, guanetl, guanvis, guanmetric, and guanwf. Engineers often need to query resources, modify ETL, adjust metrics, and validate pages across several commands. Picking the wrong entry point is easy, and a common danger is treating edits as delete-and-recreate.

How it works

Intent routing: select the component closest to the user's goal, then combine components in dependency order for cross-domain tasks.
Execution constraints: follow the target skill's query, preview, confirmation, save, publish, and verification rules; handle installation or authentication first when required.
Safety rule: existing BI resources must be updated in place. Resource IDs, permissions, scheduling, and server-side history cannot be safely transferred by deleting and recreating a same-name resource.
Typical flow: use guands for the data layer, then guanetl for complex transformations, then guanvis for visualization; use guancli to query resource IDs or structure.

Boundaries

guancli is best for querying, analysis, and form data read/write; it does not modify ETL, datasets, or dashboards.
guands handles connectors, datasets, and form structure; guanmetric manages metrics; guanwf targets workflow engines, while ordinary ETL stays in guanetl.
The suite does not bypass official CLI limits and does not claim to migrate server-side state.

Screenshots

Use Cases

Before rebuilding a dashboard, query pages, cards, field lineage, and node SQL to assess impact.
Adjust data sources, catalogs, calculated fields, or refresh scheduling, then validate datasets after saving.
Create, debug, save, or schedule ETL and data flows, including Python, subworkflows, and multi-node DAGs.
Manage metric topics and shared dimensions, or read and write SurveyEngine forms and validate their structure.

Best For

Data engineers maintaining Guandata BI projects: route to guancli, guands, or guanetl for data-layer and ETL changes.
Business analysts responsible for metric definitions: create or edit metrics, topics, shared dimensions, and check card dependencies.
Analysts building data products or workflows: orchestrate subworkflows and multi-node DAGs, or create SurveyEngine forms.
Engineers taking over a Guandata environment: query resource IDs, structure, lineage, and node SQL before making in-place updates.

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