data-table-manager
Load before calling data_tables or parse-file. Use for natural standalone requests like "what data tables do I have?", "show/list my tables", or "what columns are in this table?", and whenever the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments. Also load before building or planning workflows that create or write to Data Tables (then load workflow-builder before workflow_builder_build_workflow).
Install
git clone https://github.com/n8n-io/n8n /tmp/n8n && ln -s /tmp/n8n/packages/@n8n/instance-ai/skills/data-table-manager ~/.claude/skills/data-table-managerFrom README
Data Table Manager Routing For workflow builds that create or write Data Tables, load this skill, then workflow-builder, before workflowbuilderbuildworkflow. Use this skill to build and maintain n8n Data Tables in the current turn with datatables and, for attachments, parse-file. Do not spawn another agent for data-table-only work. Also load this skill before building a workflow whose trigger, processing steps, or outputs create, inspect, or write Data Table records, then pass the relevant schema/row-handling guidance to the builder. n8n Data Tables are flat, workflow-friendly stores. Design them so future workflow expressions can read predictable field names and so updates/deletes can target rows with narrow filters. Default Procedure Classify the job: inspect, design/create, import, seed, query, schema change, row mutation, row delete, table delete, or cleanup. Resolve the target first.
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