Gristv1.0.3

Operations teams use the skill to list tables and columns, query records with filters, and add or update structured operational data without leaving their AI workflow. It replaces manual spreadsheet editing with auditable API calls via the oo connector.

Agencies keep project and task trackers in Grist and let the agent create new task rows, update statuses by row ID, and clean out completed items. The skill surfaces workspaces and documents so the agent can target the right tracker and confirm write payloads before changing state.

Retail and e-commerce teams read current stock records, add new SKUs, and update quantities in a Grist document through the connector. Filters and sorting in list_records enable quick low-stock checks, while update_records keeps the catalog current.

Research groups log findings into Grist tables using add_records and review datasets with filtered, sorted queries. Destructive deletes are gated behind explicit approval to protect raw study data.

HR teams maintain candidate records in Grist and use the skill to insert new applicants and update stage or status fields by row ID. The agent can list tables and columns first to map the pipeline schema correctly before writing.

A product team embeds Grist-backed CRM or project data and charges customers a monthly subscription for the hosted workspace experience. The skill automates record CRUD through OOMOL's managed connector, reducing integration engineering.

A consulting firm offers outsourced data upkeep, using the skill to routinely add and update Grist records and clean up stale entries on clients' behalf. Clients pay a retainer for reliable, agent-assisted database maintenance.

A vendor sells prebuilt workflow templates and add-ons that connect Grist to other tools, with CRUD actions powered by this skill. Customers buy templates or a usage-based automation plan.