What problem does it solve? Designing analytical pivot and chart views in a Thinkwise Software Factory model requires navigating a large family of interdependent entities (cube, cube_field, cube_view, cube_view_field, filters, totals, conditional layouts, role rights) plus judgment calls about grain, additivity, and whether a cube is even the right tool. This Skill provides the confirmed entity schema, live-verified API quirks, and analytical design guidance needed to build correct cubes through an MCP connector. ## Core Features & Use Cases - Cube and field modeling: Create cubes and classify fields as dimensions or values, with aggregation types, intervals, hierarchies via cube_field_grp_id, and calculated fields through per-RDBMS cube_field_query expressions. - Cube view configuration: Place fields into filter/category/series/value areas, set totals, sorting, Top-X, chart types, constant lines, conditional layouts, and view groups. - Rights and variants: Configure per-role cube and cube-field rights, editable values with their six preconditions, and per-table-variant cube overrides. - Use Case: A user asks to build a sales analysis pivot showing revenue by region and quarter with drill-down. The Skill guides grain validation, dimension/value classification, hierarchy placement in ancestor-to-leaf order, and verified workarounds like patching cube_area directly instead of calling the drag-drop task. ## Quick Start Ask Claude to create a cube on a specific table in your Software Factory model with dimensions, values, and a default pivot view, and it will apply this Skill's guidance.