xlsx_workbook_views

List every chart in a LOCAL .xlsx file with type (bar / line / pie / scatter / area / doughnut / radar / stock / surface / bubble), title, axis titles, and per-series formula refs (the cell ranges the chart pulls from). Sheet attribution via the OOXML drawing rel chain.

list every cell comment in a workbook — both legacy notes (yellow stickies, cell.note) AND modern threaded comments (multi-author conversations stored separately in the OOXML zip). Per entry: kind, sheet, cell, author, text, plus any reply thread.

list every conditional formatting rule in a workbook — color scales, data bars, icon sets, formula-based highlights, top-N, duplicate / unique values, contains-text, time-period, above-average. Per rule: range, type, operator, formulae, priority, stopIfTrue.

universal spreadsheet format converter. Reads ANY of 25+ input formats (xlsx, xlsb, xlsm, xls, ods, fods, numbers, csv, tsv, dbf, lotus 1-2-3, quattro pro, sylk, dif, html, rtf, etc.) and emits ANY supported output format (xlsx, csv, json, md, html, etc.).

AI-native data cleaning for a LOCAL .xlsx file. Scans for the seven most common data-grime issues — NA variants (N/A, NA, null, -), merged-cell residue, type-coercion mistakes (numeric-as-text / date-as-serial / leading-zero stripped), trailing-row noise (footers / totals), header-row-not-first (pre

list every cell-level data validation rule (dropdowns, numeric/date bounds, text-length caps, custom formulas) defined in a workbook — the constraints that Excel enforces when a human types into the cell.

pandas-style df.describe() per column — count, nulls, unique, min/max/mean/std for numerics, dtype with purity score.

compute a semantic diff between two LOCAL .xlsx files — cell-level deltas, formula changes, added/removed rows.

evaluate Excel formulas against a LOCAL .xlsx file via HyperFormula. xlwings-style.

list every external workbook reference this file depends on — =[Budget.xlsx]Sheet1!A1 style formulas. Per link: target path (decoded), classification (http / network share / absolute / relative), sheets pulled from the external workbook, count of cached cell values, and defined-name references.

pandas-style row filter on a LOCAL .xlsx file with predicates AND-combined: eq/ne/gt/gte/lt/lte/contains/in/isnull/notnull.

list every form control (Check Box, Button, Drop-down, List Box, Option Button, Scroll Bar, Spinner, Label, Group Box) in a workbook with the linked cell, current value, dropdown source range, and min/max/step bounds where applicable.

extract every formula in a LOCAL .xlsx workbook — cell coord (A1), formula text, cached result. openpyxl-style read-only metadata.

Apply ONE specific cure operation against a diagnosed workbook. Operations: renamemove (rewrite ref paths), patternbulk (regex-style ref rewrites), sourcedeletedfreeze (replace broken refs with cached values), sourcedeletedredirect (point at a replacement file), sourcedeletedlocalize (snapshot exter

produce a structured diagnostic report of external references that are broken or at risk in a workbook. Returns five classes of finding: (1) external-workbook references that can't resolve, (2) defined-name external refs, (3) Power Query connections with embedded credentials, (4) #REF! propagation m

list every hyperlink in a workbook with its anchor cell, target URL/anchor, display text, tooltip, and a kind classifier (external / internal / mailto / unknown).

List every embedded image in a LOCAL .xlsx file with format (png / jpg / gif / svg / bmp / tiff / emf / wmf), size in bytes, sheet attribution, and anchor cell range (the cells the image floats over). Reads xl/media/ + xl/drawings/ directly.

list sheet names, dimensions, and visibility for a LOCAL .xlsx file.

Inspect xlsm / xlsb workbooks for VBA macro presence, vbaProject.bin size, and likely module names (ThisWorkbook / Sheet<N> / Module<N> / Class<N> / UserForm<N> via heuristic UTF-16LE scan). Returns short safety advice the LLM should relay to the user.

list every merged-cell region with master-cell value, range, span dimensions, and kind heuristic ("header" / "horizontal" / "vertical" / "block"). Pandas reads merged cells by dropping the relationship — it sees one value in the master cell and three blanks alongside. xlsxmergedcells is the layout-a

list all defined names (named ranges) in a LOCAL .xlsx workbook — name, scope (workbook or sheet), kind (cell / range / formula), reference.

pandas-style pivottable() on a LOCAL .xlsx file — reshape a flat table into a 2D matrix where rows are unique values of index, columns are unique values of columns, and cells are an aggregation of values.

List every PRE-EXISTING pivot table definition in a LOCAL .xlsx file (the ones an Excel user already built). Per pivot: sheet, name, location range, source range (or named-range / table reference), row / column / page fields, and data fields with their agg function (sum / count / average / max / min

surface "what would Excel print right now" per worksheet — print area, orientation, paper size (A4 / Letter / Legal / Tabloid / etc.), scale or fitToPage, margins, headers/footers split into Excel's L/C/R zones, print titles (rows / columns repeated on every page), manual page breaks, plus B&W / dra

Surface the workbook's identity card from a LOCAL .xlsx file. Core: creator, lastmodifiedby, created/modified/lastPrinted timestamps, title, subject, company, manager, keywords, category, description. Application: app name + version, doc security label, hyperlink base. Custom: every user-defined Inf

Surface every protection setting in a LOCAL .xlsx file so an agent knows what it can and cannot edit. Workbook-level (lockStructure, lockWindows), per-sheet (protected? password? hidden state?), per-action allow/block list (formatCells, sort, insertRows, pivotTables, etc.), and per-cell unlocked / h

read an .xlsx file by path and return a rendered markdown/JSON/SQL representation.

read a workbook that has already been uploaded to the server via the chunked upload flow, by its server-side cache handle, WITHOUT re-transferring the bytes. Returns the same shape as xlsxread (text / json / markdown) but skips the fileb64 round-trip.

redact PII and sensitive values from a LOCAL .xlsx file before sharing or archiving.

infer column schema of a LOCAL .xlsx file — types, nullable flags, header row, sample values.

List every slicer (interactive filter button) and timeline (date-range filter visual) in a LOCAL .xlsx file with their captions, source bindings (table column or pivot table), and timeline granularity (years / quarters / months / days) plus the currently-selected date range.

pandas-style df.sortvalues() on a LOCAL .xlsx file with multi-column sort and per-column direction (asc/desc, default asc).

surface cell formatting (number formats, fonts, fills, alignment) so an agent knows what a cell LOOKS like, not just its raw value. Default mode: per-sheet rollup of top-N number formats / fonts / fills with counts. Detailed mode (opt-in, capped at 1000 cells): per-cell breakdown for narrow queries.

list every Excel ListObject ("Format as Table" structures) in a LOCAL .xlsx workbook — name, sheet, range, header/totals flags, columns.

one-call workbook orientation. Returns sheets × dimensions × formulas × named ranges × tables × validations × hyperlinks × merges in one shot, plus feature flags (macros / external refs / pivots / LAMBDA / dynamic arrays).

cross-engine consistency check on a LOCAL .xlsx file — runs the workbook through TWO independent renderers (@protobi/exceljs and @cj-tech-master/excelts) and reports cell-level divergences.

pandas-style Series.valuecounts() on one column of a LOCAL .xlsx file — count each unique value, sorted by frequency desc, with percentage.

create or update a LOCAL .xlsx file from a structured spec.