Office Transform logo

Office Transform

OrganizationPopular
CherryHQ
office-transform

Derive new Office files from structural selections without touching the original. Use when the user points at part of a spreadsheet, Word document, PDF, or PowerPoint deck (a worksheet range, paragraph, page, slide, shape, or a pasted selection-ref block) and wants it extracted, converted, or edited — the result is always a NEW file; the source file is never modified. Covers xlsx range extraction to csv/markdown/xlsx, docx paragraph extraction and text replacement, pdf page extraction, pptx slide/shape/table-cell extraction and editing, and targeted xlsx cell edits.

Overview

PublisherCherryHQ
Repositorycherry-studio
Skill nameoffice-transform
Stars
51.9K
Forks
5K
Bundled files
11
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by CherryHQ on GitHub. Read the source before you install it.

Installation

Install the Office Transform AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/CherryHQ/cherry-studio.git /tmp/cherry-studio
mkdir -p .claude/skills
cp -r /tmp/cherry-studio/resources/skills/office-transform .claude/skills/office-transform
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Office Transform in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Office Transform on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Office Transform is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Office Transform

Turn a structural selection of an Office/PDF document into a new derived file.

Two invariants hold for every operation:

  1. The source file is read-only. Every result is a new file; both scripts refuse to write to the source path or overwrite an existing file. Never work around this with ad-hoc shell edits to the original.
  2. Anchors are structural. Selections address the document's own coordinates — worksheet + A1 range, body-level paragraph ordinal, one-based page number — never screen or DOM positions.

When to use which tool

  • Only need to read a document to summarize or answer questions → use mcp__cherry-tools__to_markdown instead (see the cherry-tool-guide skill); it is lossy but built for reading.
  • The user wants a file out — an extracted range, a converted fragment, an edited copy → this skill.

Input: selection references

Chat surfaces may hand you a fenced selection-ref block:

selection
{"path": "/abs/report.xlsx", "anchor": {"format": "xlsx", "sheet": "Sheet1", "range": "A1:C10"}, "excerpt": "…", "fileStamp": {"size": 1024, "mtimeMs": 1700000000000}}

The anchor object is exactly what the scripts take via --anchor.

Freshness check. fileStamp.mtimeMs is milliseconds since the Unix epoch, floored to whole milliseconds. Do not compare it to stat's default output: stat -f %m (macOS) and stat -c %Y (GNU) give whole seconds, so multiplying by 1000 loses the sub-second part and never matches. Read whole milliseconds the way the app wrote them:

bash
uv run python -c "import os,sys;st=os.stat(sys.argv[1]);print(st.st_size, st.st_mtime_ns//1_000_000)" '/abs/report.xlsx'

Treat the file as changed when the size differs, or when the mtimes differ by more than 2 ms. The tolerance is small on purpose: both sides floor the same nanosecond timestamp to milliseconds, so they agree exactly, and the couple of milliseconds only covers the rounding of a double that can no longer represent current epoch milliseconds exactly. A wider window would hide real edits — a same-size change made within it would read as unchanged, which is why the anchor check below is not optional. On a change, tell the user the file changed since they selected and ask them to re-select — never silently re-anchor.

Anchor check. Before a patch-copy edit, also verify the anchor still points where the user thinks: extract the anchored region and compare its text with the reference's excerpt, normalizing both sides the same way (NFC, collapse each whitespace run to one space, trim). The two are not equal and are not meant to be — the excerpt is what the user selected, while the extract is the whole region an edit would replace. A selection sitting inside one region makes the excerpt the shorter side; a selection running past that region anchors to where it starts, which makes it the longer one. So the test is containment, whichever way round fits: the excerpt appears inside the extract, or the extract's tail is where the excerpt begins. Only when neither holds has the anchor stopped pointing at the selection — then stop and tell the user, never edit at a mismatched anchor and never go searching for a "close enough" location. Two cases need care because the two sides are not directly comparable as-is:

  • xlsx: the excerpt is tab-separated cells and newline-separated rows, while extraction writes csv or md. Compare cell values, not the raw file — read the csv with a csv reader and join the fields with single spaces before normalizing, so , and | never count as a difference. That join drops the cell boundaries on both sides, so a match proves the text is unchanged, not the grid — the same words re-split across cells still reads as a match. The freshness check above is what catches that; never skip it on a passing anchor check. Number formats are the second asymmetry: the excerpt holds what Excel displays, because that is what the user pointed at (1,234.50, 45.67%), while extraction writes the stored value (1234.5, 0.4567). Neither side is wrong, so a formatted cell never matches literally. Compare those cells by value, and leave them out of the joined strings so the containment test runs on the text cells alone. Dates, times and durations are the same asymmetry seen from the other side: extraction writes one fixed shape (2024-01-03, 2024-01-03 15:04:05, 26:30:00) rather than the cell's format, so treat a cell that differs only in date or time presentation as a format difference too. A difference that is only the number format is not a moved anchor, and stopping on one sends the user back to re-select a selection that never moved.
  • docx with charRange: the slice is only part of what patch-copy compares and replaces — it rewrites the whole paragraph. Extract the paragraph without charRange as well, and read "Edit docx" below before writing.

Users may also describe the region in words ("sheet 2, columns A through C"); build the anchor JSON yourself, confirming the worksheet name or paragraph if ambiguous.

Anchor shapes:

FormatAnchor
xlsx{"format":"xlsx","sheet":"Sheet1","range":"A1:C10"} (range may be one cell)
docx{"format":"docx","paragraph":3,"paraId":"502E8D33","charRange":[0,12]} (paraId optional = the paragraph's w14:paraId, resolved first when present; charRange optional; ordinal counts body-level paragraphs only, tables excluded)
pdf{"format":"pdf","page":3,"charRange":[0,120]} (charRange optional, applies to extracted text)
pptx{"format":"pptx","slide":2,"nodeId":"4","paragraph":0} or {"format":"pptx","slide":2,"nodeId":"7","tableCell":{"row":1,"col":0}} (slide is one-based; nodeId is the OOXML shape id — omit for the whole slide; paragraph and tableCell are optional, mutually exclusive, and only valid together with nodeId)

Operations

Scripts live in this skill's scripts/ directory; resolve paths relative to this skill folder. The library-edit recipes routed to below live in references/ beside them. Python dependencies are per-format and provided at invocation time via uv run --with <pkg> (the bundled-shell idiom — do not pip install globally).

Which route an edit takes follows from the library that can write the format: openpyxl drops charts and drawings on a round-trip, which is why xlsx edits go through patch-copy, while python-pptx keeps XML it does not understand, which is why pptx edits go through the library.

Extract — pull the anchored region into a new file

Always single-quote paths — real documents have spaces in their names (Q1 report.xlsx). If a path itself contains a single quote, close and reopen the quoting around it: '/abs/Bob'\''s deck.pptx'.

bash
uv run --with openpyxl python scripts/office_extract.py \
  --file '/abs/report.xlsx' \
  --anchor '{"format":"xlsx","sheet":"Sheet1","range":"A1:C10"}' \
  --out '/abs/report-q1-range.csv'

The output format is inferred from --out's extension:

SourceDependency (--with)Output formats
xlsxopenpyxlxlsx, csv, md
docx'python-docx>=1.1,<2'docx, txt, md
pdfpypdfpdf (page copy), txt, md
pptxpython-pptxtxt, md (slide, shape, paragraph, or table-cell text)

The docx pin is not optional. Patch-copy's expectText gate compares a paragraph read with python-docx against the same paragraph read by the script's own paragraph_text, which reproduces python-docx's Paragraph.text element for element. That equivalence was checked against 1.x; a release that changes what .text spells would make the gate refuse paragraphs nobody edited. Quote the specifier — > and < are redirects to a shell.

xlsx extraction reads computed values (data_only), so formula cells yield their last saved result. docx extraction to docx carries text only, not run styling.

Patch-copy — derive an edited copy, standard library only

bash
uv run python scripts/office_patch_copy.py \
  --file '/abs/report.xlsx' \
  --edits '{"format":"xlsx","sheet":"Sheet1","cells":{"B2":42,"C3":"hello"}}' \
  --out '/abs/report-updated.xlsx'

OOXML packages are ZIPs of XML parts. Patch-copy copies every part byte-for-byte and re-serializes only what an edit reaches — the target worksheet or word/document.xml, plus the workbook bookkeeping noted below for xlsx — so styles, charts, images, and macros in untouched parts survive exactly. Edit shapes:

  • {"format":"xlsx","sheet":"S","cells":{"B2":42,"C3":"text","D4":true}} — numbers, strings, and booleans; an existing formula in an edited cell is replaced by the value. Patch-copy does not recalculate, so a formula reading an edited cell keeps the value it last cached; every write sets fullCalcOnLoad in xl/workbook.xml so Excel recomputes those on open. Replacing a formula also drops xl/calcChain.xml (a recalculation cache Excel rebuilds), along with the content-type and relationship entries that would otherwise point at a part no longer there; keeping a chain entry for a cell that no longer has a formula makes Excel report the derived file as damaged. Cells in a shared, array, or data-table formula group are refused — the expression lives in one member and the others only reference it, so overwriting a member would strip the formula from cells you never named. Rewrite such a range with openpyxl. Coordinates outside the worksheet grid (past XFD or row 1048576) are refused too.
  • {"format":"docx","replacements":[{"paragraph":3,"text":"new text","paraId":"502E8D33","expectText":"old text"}]} — the paragraph keeps its paragraph style and the first run's character style; extra run-level styling within that one paragraph is flattened into the new text. text must be the complete new paragraph. The whole body paragraph is replaced, and charRange does not narrow that — feeding back a charRange slice as text silently discards the rest of the sentence. The output is exactly w:p > [w:pPr] + w:r > [w:rPr] + w:t, so a paragraph holding anything that shape cannot carry is refused, not silently stripped. That covers bookmarks, comment anchors and fields (their start/end can pair across paragraphs, and rewriting one half unbalances the document), images, embedded objects, footnote/endnote references, hyperlinks, tracked changes and moves, content controls, equations — and anything else not on the short allow-list, including elements from namespaces that did not exist when this was written. A dropped w:del would even accept a pending deletion on the user's behalf. A page or column break (<w:br w:type="page"/>) is refused for a quieter reason: it carries no characters, so the extract reads the text on either side of it as one string and the anchor check cannot see that the rewrite would delete it. A bare <w:br/> line break still passes. To edit such a paragraph, see "Edit docx" below — do not reach for Paragraph.text, which destroys exactly the same content, only silently. paraId (optional) is resolved before the ordinal; a disagreement between the two is an error, never a silent pick. expectText (optional but strongly recommended) is a hard gate: the target paragraph's current text must match it after whitespace normalization or the edit is refused. Take its value from an extract of the same paragraph taken without charRange — the gate compares the whole paragraph, and a selection-ref excerpt is truncated at 2000 chars and may span more than the edit target.
  • Any text written into a cell or paragraph must be storable in XML: control characters other than tab, newline and carriage return are refused. Text extracted from a deck can carry them (python-pptx maps a soft line break to \x0B), so strip them before feeding extracted text back in as an edit value. A docx paragraph refuses tab, newline and carriage return as well: WordprocessingML spells those <w:tab/> and <w:br/>, and the single w:t this rewrite emits cannot carry them. Extracting a paragraph that holds them gives you \t / \n, so editing that string and writing it back would delete the elements while reading identically — split the content across separate body paragraphs, or see "Edit docx" below.

Text comparisons on both sides of this skill use one normalization rule, identical to the renderer's normalizeSelectionText: NFC-normalize, collapse every whitespace run to a single space, trim the ends.

Generate — write ad-hoc library code for new documents

Generation (a fresh deck, workbook, or document — from scratch or from data you just extracted) has no source file to protect, so there is no fixed script: write a short Python program against the matching library (python-pptx, openpyxl, python-docx) and run it via uv run --with <pkg> python. The two skill invariants still apply: write to a path nothing occupies yet — open it with "xb" rather than handing the library a name, since every one of these save() methods overwrites — and verify the output by reopening it before reporting success.

Edit docx — edit runs, never Paragraph.text

When patch-copy refuses a paragraph, python-docx can still edit it — but only run by run. Never assign paragraph.text = "...": it inflicts exactly the loss patch-copy refused, minus the refusal. save(path) overwrites, so open the destination with "xb".

Read references/docx-edit.md before writing any python-docx edit.

Edit pptx — use python-pptx, saving to a new path

pptx edits do not go through office_patch_copy.py. Never assign .text at paragraph or shape level: it rebuilds that subtree as one unformatted run. Edit runs, and open the destination with "xb".

Read references/pptx-edit.md before writing any python-pptx edit.

Output conventions

  • Name derived files after the source with an operation suffix: report.xlsxreport-updated.xlsx, report-q1-range.csv, spec-p3.txt.
  • Write into the session workspace (or where the user asked). Both scripts print the written path on success — report it to the user.
  • --file and --out must both be absolute; a relative path is refused rather than resolved against whatever working directory the shell happens to be in.
  • Output is staged and renamed on success, so a failed run leaves nothing behind and the same command can be retried at the same path.

Verify before reporting success

Always reopen the derived file with the matching reader and check the result, e.g.:

bash
uv run --with openpyxl python -c "
from openpyxl import load_workbook
ws = load_workbook('/abs/report-updated.xlsx', data_only=True)['Sheet1']
print(ws['B2'].value)"

data_only reads cached values and patch-copy does not recalculate, so a formula reading a cell you just wrote still reads back its old result. Check the cells you wrote, and tell the user the dependent totals are recomputed when Excel opens the file.

A written xlsx string cell that held a literal _xHHHH_ or a carriage return reads back through openpyxl in its escaped form (_x005F_xHHHH_, _x000D_) — see the ST_Xstring note under "Limits". That is the reader, not a verification failure.

If verification fails, say so and show the error — do not present an unverified file.

Limits

  • pptx edits go through python-pptx (see "Edit pptx"), not patch-copy; slide-copy into a new deck is not supported (python-pptx cannot clone slides) — say so when asked for it.
  • Patched xlsx string cells become inline strings (valid OOXML; Excel reads them fine). Their text is written as ST_Xstring, so a literal _xHHHH_ in the value is escaped to _x005F_xHHHH_ and a carriage return is stored as _x000D_ — that is what makes Excel show the characters that were written. openpyxl decodes neither, so a verification read of such a cell shows the escaped form; that is the reader, not the file.
  • Edited XML parts may lose insignificant serialization details (attribute quoting, empty-element form); namespace prefixes and untouched content are preserved.
  • A patched docx paragraph keeps its characters but not every break opportunity: w:softHyphen leaves no mark in the extract and is dropped, and w:noBreakHyphen comes back as a plain -, so what both lose is only where a line may break. w:sym is refused instead — its glyph is a character the reader can see, not a hyphenation hint.
  • xlsx extraction refuses ranges over 1,000,000 cells; both scripts refuse packages with more than 10,000 entries, an entry over 256 MiB uncompressed, or over 1 GiB total uncompressed — ask the user for a smaller selection or file instead of retrying.
  • xlsx extraction does not mask merge followers — the streaming reader cannot see the merge ranges. Excel and openpyxl clear the covered cells when a merge is made, so followers normally extract as empty, matching what the user sees; a file that kept hidden text under a merge (LibreOffice offers to) extracts that text as its own cell. If the anchor check fails inside a merged range, look at the cells before telling the user to re-select.
  • csv and md carry cell text verbatim, formula-looking text included (=SUM(A1), +1, -); a spreadsheet opening the csv would evaluate it, which matters only for a source the user does not trust — say so if they mean to open the csv in one. In the derived xlsx, text that openpyxl would re-type — a leading = into a live formula, an error code such as #N/A into an error value — is written back as quote-prefixed text; +1 and - are already stored as text and stay that way, and a cell that really holds an error stays an error.
  • Scanned/image-only PDFs yield no text (no OCR here).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Office Transform AI skill do?

Derive new Office files from structural selections without touching the original. Use when the user points at part of a spreadsheet, Word document, PDF, or PowerPoint deck (a worksheet range, paragraph, page, slide, shape, or a pasted selection-ref block) and wants it extracted, converted, or edited — the result is always a NEW file; the source file is never modified. Covers xlsx range extraction to csv/markdown/xlsx, docx paragraph extraction and text replacement, pdf page extraction, pptx slide/shape/table-cell extraction and editing, and targeted xlsx cell edits.

Why use Office Transform on TypingMind?

Because you install it once and use it with any model. Office Transform is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Office Transform in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CherryHQ/cherry-studio/tree/main/resources/skills/office-transform. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Office Transform?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Office Transform?

As many as you like. As long as a model supports skills, you can use Office Transform with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Office Transform AI skill free?

Yes. It is published on GitHub by CherryHQ under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇