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create-file-viewer
Create a custom file viewer for the Datagrok file share browser
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
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Create a custom file viewer for the Datagrok file share browser
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Use whenever you need the Datagrok browser to actually execute JavaScript — adding viewers, filtering, modifying the view, or returning a result widget to the chat. Open this skill before calling the datagrok_exec tool.
Filter rows of a Datagrok DataFrame inside a datagrok-exec block through the Filters panel — by range, equals/contains/in-set, multi-value, boolean, free-text row expressions, or substructure (SMILES / SMARTS / molblock). Also covers clearing, inverting, the show-only-filtered vs destructive-drop split, and the filter event lifecycle (onRowsFiltering / onFilterChanged / onRowsFiltered). Use whenever the user says "filter", "show only", "hide rows where", "narrow to subset", "find rows that", "contains", "substructure search", "categorical filter", "range filter", "invert", "clear the filter", "clear filters", "drop rows", or asks for the filtered subset as a new table. Does NOT cover selection (separate skill) or generic DataFrame cloning (datagrok-df-and-columns).
Add a calculated, formula-based column to a dataframe inside a datagrok-exec block. Use whenever the user asks to compute, derive, add, or create a new column from existing columns — LipE, ratios, log/round, heavy atom count, any expression in the Datagrok formula DSL. Replaces hand-written addNewFloat/addNewInt + for-loop with a single formula-attached column that recomputes when source columns change.
Find, describe, add, remove, rename, clone, or set metadata on columns of a Datagrok DataFrame inside a datagrok-exec block. Use whenever the user asks to locate "the X column", summarize a column, add a typed/empty/values-filled/virtual column, set semantic type / units / format / friendly name, apply linear or categorical or conditional color coding, drop or rename columns, or copy a DataFrame. Covers everything in DataFrame.columns and Column.meta — but not row filtering/selection (datagrok-filtering, datagrok-selection) and not formula-only columns (datagrok-calc-column).
Sort, hide, show, reorder, resize, pin, format, and color-code columns in a Datagrok TableView grid from a datagrok-exec block. Use whenever the user asks to sort by a column (any direction), multi-sort, hide / show / reorder / pin / resize columns, freeze the first N columns, change number-format display, color-code cells (defaults and grid-only tint here; full per-type reference in datagrok-df-and-columns), set row height, or reset the grid back to defaults. Distinct from datagrok-df-and-columns (which owns column-level data metadata like semType, units, friendlyName, and is also where canonical color-coding lives) and from datagrok-viewers (which owns scatter plot / histogram / etc.). Does NOT cover filtering (`datagrok-filtering`), selection (`datagrok-selection`), custom cell renderer authoring (`create-cell-renderer`), saving / restoring layouts, or grid event handlers.
Add a viewer, configure a viewer, change viewer options, find viewer, close viewer, view a scatter plot, bar chart, histogram, line chart, box plot, pie chart, heat map, correlation plot, 3D scatter, trellis, density plot, statistics, on a Datagrok TableView inside a datagrok-exec block. Use whenever the user asks to plot, chart, visualize, show a graph, draw a distribution, color by a column, swap a viewer's axis, toggle a legend / regression line / log scale, replace one viewer with another, close every chart, reset the view to just the grid, or find an existing viewer by type. Plugin viewers like "Chem space", "sequence space", "activity cliffs" are NOT viewer types — they're registered functions — route those to `grok.functions.call`. Does NOT cover filtering (separate skill `datagrok-filtering`), selection (`datagrok-selection`), grid cell rendering (`datagrok-grid-customization`), layout save/restore, or custom-viewer authoring.
| name | create-file-viewer |
| description | Create a custom file viewer for the Datagrok file share browser |
| when-to-use | When user asks to create a file viewer, handle a new file type, or add file preview |
| effort | medium |
| argument-hint | [extensions] [package-path] |
Create a custom file viewer that is used by the Datagrok file share browser to display files with specific extensions.
/create-file-viewer [extensions] [package-path]
When this skill is invoked, help the user create a custom file viewer for one or more file extensions. Use the /ui skill for building the UI if necessary.
Add a function to package.ts (or a separate file imported by it) with the correct annotations. The function must:
file inputviewfileViewer tag plus a fileViewer-<ext> tag for each supported extension//name: myFileViewer
//tags: fileViewer, fileViewer-xyz, fileViewer-abc
//input: file file
//output: view v
export function myFileViewer(file: DG.FileInfo) {
let view = DG.View.create();
// Read file content and render it
file.readAsString().then((content) => {
let host = ui.div([]);
// Process and display content
host.innerText = content;
view.append(host);
});
return view;
}
Choose the appropriate method to read file content:
file.readAsString() - for text-based files (returns Promise<string>)file.readAsBytes() - for binary files (returns Promise<Uint8Array>)Example for binary files:
//tags: fileViewer
//input: file file
//output: view v
//meta.fileViewer: mol, sdf, cif
export function structureViewer(file: DG.FileInfo) {
let view = DG.View.create();
let host = ui.div([], 'd4-ngl-viewer');
file
.readAsBytes()
.then(bytes => {
// Process binary content
let blob = new Blob([bytes]);
// Render blob...
});
view.append(host);
return view;
}
meta.fileViewer can take multiple extensionsDG.TableView directly — do not wrap a grid in a custom DG.View// Good — file viewer for a single-table format
static async previewFoo(file: DG.FileInfo): Promise<DG.View> {
const bytes = await file.readAsBytes();
const data = await parseFoo(bytes);
const df = toDataFrame(data);
const view = DG.TableView.create(df, false);
view.name = file.name;
return view;
}
df.setTag('source.format', '...') to record where the data came fromminitab.version, prism.sheetId)description tag for column descriptionsDG.ViewreadAsString vs readAsBytes