twells89

Convert a Domo dashboard (pages + cards + DataSets + Beast Modes) into a Sigma data model and matching workbook. Use when the user has a Domo instance and wants to recreate a dashboard in Sigma. Discovery via Domo's public + private APIs, Beast Mode (MySQL-dialect SQL) → Sigma formula translation, a reuse check before building a new data model, data model + workbook creation via the Sigma REST API, layout generation, Domo PDP → Sigma row-level-security detection, and parity verification against the same warehouse — driven by `scripts/*.rb`.

Convert a Hex project (SQL cells, single-value/METRIC cells, EXPLORE charts, app layout) into a Sigma data model and matching workbook. Discovery via a Hex project export file (Hex's REST API does not expose cell content), calc translation, DM + workbook creation via REST, layout, and warehouse parity verification.

Convert a Looker instance (LookML semantic model + dashboards) into a Sigma data model and matching workbook(s). Use when the user has Looker content — LookML projects, explores, or dashboards (user-defined OR LookML-defined) — and wants to recreate it in Sigma. Discovery via the Looker REST API 4.0 / Looker MCP server (or LookML files offline), model conversion via the local vendored LookML converter (convert_lookml_to_sigma MCP tool as a manual fallback), dashboard → workbook conversion from the Looker Dashboard API JSON, build via the Sigma REST API, and 3-way parity verification against the source warehouse — driven by `scripts/*`.

Convert a Power BI report + semantic model into a Sigma data model and matching dashboard. Use when the user has a Power BI report (in Power BI Service / Fabric, or a .pbix/.pbit file) and wants to recreate it in Sigma. Covers connecting to Power BI with no Entra app, extracting the model (TMSL) + report layout (PBIR/Report-Layout), converting via the sigma-data-model MCP, posting the data model + workbook via REST, and parity verification. Can also author dashboards back INTO Power BI via the Fabric write API.

Convert a Qlik Sense / Qlik Cloud app into a Sigma data model and matching workbook. Use when the user has a Qlik Cloud tenant/app and wants to recreate it in Sigma. Discovery via qlik-cli (Engine + REST), Qlik-expression → Sigma-formula translation via the local vendored convert_qlik_to_sigma converter (MCP tool only as a manual fallback), data model + workbook creation via the Sigma REST API, and parity verification against the source warehouse. Requires qlik-cli + a Sigma SIGMA_API_TOKEN.

Convert an Amazon QuickSight analysis or dashboard into a Sigma data model and matching dashboard. Use when the user has a QuickSight analysis/dashboard and wants to recreate it in Sigma. Covers AWS-CLI extraction of the analysis definition + datasets + data sources, calc-field / data-prep translation via the local vendored converter (the convert_quicksight_to_sigma MCP tool is a manual fallback only), posting the data model + workbook via the Sigma REST API, layout, and parity verification against the same warehouse.

Convert a ThoughtSpot model/worksheet and its Liveboards into a Sigma data model and matching dashboards. Use when the user has a ThoughtSpot instance (or exported TML) and wants to recreate it in Sigma. Covers discovery (TML export), data-model conversion, workbook build, layout, and parity verification driven by scripts/.

Inventory a Hex instance and produce a migration-readiness readout — environment counts, content mix, complexity, and a value/cost-ranked shortlist. Read-only.

Build, edit, and iterate on Sigma workbook specs — the JSON definition you POST to /v2/workbooks/spec, covering pages, layout, controls, charts, KPIs, tables, formulas, and sources. The Sigma OpenAPI is the source of truth for every shape and field; this skill adds navigation, style guidance, and proven recipes for effective dashboards. Use when the user wants to construct a dashboard from a spec, add or modify pages / elements / controls / formulas, validate a spec before submission, or work through the workbook spec lifecycle programmatically. Requires an SIGMA_API_TOKEN — obtain via the sigma-api skill first.

Build, register, host, embed, and data-bind a bespoke Sigma custom plugin (@sigmacomputing/plugin) to recreate a source visualization for which Sigma has no native chart/KPI/table equivalent — a radial gauge, a custom heatmap, a sankey, or any bespoke viz kind outside Sigma's native element set. **Use when a source viz has no native Sigma equivalent and should be recreated as a bespoke plugin** — not when a native Sigma chart, KPI, or table kind already covers it (that's the `sigma-workbooks` skill). Covers the full lifecycle: writing the single-file plugin, registering it via `POST /v2/plugins`, hosting it, embedding it in a workbook spec bound to real data, and verifying value parity. Ships a worked example (a radial gauge / "value vs. target" plugin) and the `plugin_embed` emitter. Requires an SIGMA_API_TOKEN — obtain via the sigma-api skill first.

Scan Sigma workbooks for custom SQL elements, dedupe across workbooks, build or reuse Sigma data models, then repoint the workbooks via the v3alpha `:swapSources` endpoint. Use when you want to find ad-hoc SQL in workbooks and promote it to one reusable data model per unique query.

Author, retrieve, or modify a Sigma data model spec (the JSON/YAML semantic-layer definition with sources, columns, metrics, relationships, filters, controls, folder groupings, and column-level security) by calling the Sigma REST API directly. Use when the user wants to build a new data model from existing warehouse tables, add metrics or relationships to an existing model, change a model's source, edit columns, or round-trip a data model spec through code. **Out of scope: converting from another BI tool's format (dbt, LookML, Tableau, Power BI, Alteryx, etc.).** Those conversions are handled by the Sigma data-model converter (browser tool + MCP) — point users there when they paste source-format input. Requires an SIGMA_API_TOKEN — obtain via the sigma-api skill first.

Convert a Domo dashboard (pages + cards + DataSets + Beast Modes) into a Sigma data model and matching workbook. Use when the user has a Domo instance and wants to recreate dashboards in Sigma. Discovery via Domo APIs, Beast Mode → Sigma formula translation, data model + workbook creation via REST API, layout generation, and parity verification — driven by `scripts/*.rb`.

Take inventory of a Domo instance and produce a migration-readiness readout — environment counts, licenses, DataSet/DataFlow mix, refresh cadence, per-card usage, per-card complexity (Beast Mode convertibility + card-type coverage + PDP), and a value/cost-ranked migration shortlist. Use to scope a Domo→Sigma migration or audit BI sprawl. Lightweight, public-API driven; hands off to domo-to-sigma.

Migrate MicroStrategy (Strategy One) content to Sigma. Use when the user has MicroStrategy dossiers, reports, or a classic schema (attributes / facts / metrics) and wants to recreate them in Sigma. Extracts the dossier + full semantic model over the MSTR REST API into a bundle, converts it to a Sigma data model + workbook, reproduces Analytical-Engine row-collapse quirks deterministically, and verifies row-level parity. Live-validated with exact parity on the classic-schema grid path.

Take inventory of a MicroStrategy (Strategy One) environment and produce a migration-readiness readout — project/report/dossier counts, a visualization-type histogram (walking panel stacks recursively), datasource types, per-dossier complexity flags, and migrate-first / moderate / needs-review tags scored against the microstrategy-to-sigma converter's actual coverage. Use when a user wants to scope a MicroStrategy→Sigma migration, audit dossier sprawl, or pick which dossiers to convert first. Read-only, all-free pre-scoping.

Migrate GoodData Cloud / GoodData.CN workspaces to Sigma. Use when the user has a GoodData workspace — datasets, MAQL metrics, insights, and analytical dashboards — and wants to recreate it in Sigma. Exports the workspace via the declarative layout API (logicalModel + analyticsModel), maps the LDM (datasets / attributes / facts / references) to a Sigma data model, translates MAQL metrics to Sigma formulas, maps insights to workbook charts/KPIs/pivots and dashboards to pages + layout, ports user data filters (RLS) to Sigma user attributes, and verifies parity against the same warehouse. Translates what maps cleanly and flags what doesn't (compute-engine-only metrics, exotic MAQL context, unsupported widgets) instead of emitting wrong logic. Legacy GoodData Platform (/gdc/md classic) is out of scope for now — Cloud / .CN only.

Take inventory of a GoodData Cloud / GoodData.CN estate and produce a migration-readiness readout — workspace, dataset, metric, insight, and dashboard counts; a MAQL-complexity histogram (which metrics use BY / WITHIN / BY ALL / FOR time transforms); an insight visualization-type mix; and per- dashboard AUTO / HINT / MANUAL / UNHANDLED tags scored against the gooddata-to-sigma converter's actual coverage. Use when a user wants to scope a GoodData→Sigma migration, audit estate sprawl, or pick which dashboards to convert first. Read-only, all-free pre-scoping over the declarative workspace export.

Migrate IBM Cognos Analytics content to Sigma. Use when the user has a Cognos Data Module, Framework Manager package, or report (Report Studio / CA Reporting) and wants to recreate it in Sigma. Converts Data Module JSON → Sigma data model and report-spec XML → Sigma workbook, translating the Cognos expression DSL and flagging constructs with no clean Sigma analog. Discovery via the CA REST API.

Take inventory of an IBM Cognos Analytics estate and produce a migration-readiness readout — content-tree counts, per-artifact conversion complexity (scored against the Cognos→Sigma converter's exact coverage), an estate-wide auto-migration percentage, a named gap analysis, and an effort/wave plan. Use when a user wants to scope a Cognos→Sigma migration, audit Cognos sprawl, or pick which modules / reports to convert first. Read-only, all-free, ~Tableau-assessment-style pre-scoping that complements (does not replace) a deeper paid engagement.

Migrate SAP BusinessObjects to Sigma Computing. Converts a universe (the semantic layer) into a Sigma data model and Web Intelligence (Webi) documents into Sigma workbooks, pulling both straight from the BI RESTful Web Service (RWS) on an on-prem BO 4.x server. Use when a user wants to move BusinessObjects content to Sigma, inventory a BO repository for a migration, or convert a universe / Webi document.

Convert an Excel (.xlsx) workbook — especially a planning / budget / forecast data-entry model — into a Sigma data model + workbook. Use when the user has an Excel file (formal Tables, pivots, charts, or a cell-formula budget model) and wants to recreate it in Sigma. Covers formal-Table discovery, Excel-formula translation, and the input-table → warehouse-view → data-model pattern that preserves data entry. Requires a Sigma SIGMA_API_TOKEN and (for the data-entry half) a write-enabled Sigma connection.

Migrate Metabase content to Sigma. Use when the user has Metabase questions, models, or dashboards and wants to recreate them in Sigma. Converts MBQL cards/models (+ database metadata) → Sigma data model and dashboards → Sigma workbooks, translating MBQL expressions/aggregations and flagging constructs with no clean Sigma analog. Discovery via the Metabase REST API (API key or session token) — works on open-source and Pro/EE alike.