microsoft/redlining-content
Use when the user asks to redline, track changes, or compare differences in a file. Compares an uploaded .docx or .pdf against a provided .dotx/.docx template and returns a redlined .docx where every textual difference is a Word tracked change (insertion/deletion) authored by "Copilot Studio AI". No visual conversion — built directly on the template.
npx skills add https://github.com/microsoft/cat-agent-skills --skill redlining-content
Reimplements "Word Compare" for the new Copilot Studio orchestrator. The
template is already a perfect Word document, so the output is the template
body with revisions injected as OOXML <w:ins> / <w:del> elements. Accepting
all changes yields the submission's wording; rejecting all keeps the template.
Changes are authored by Copilot Studio AI and the output has Track
Changes turned on so Word keeps tracking any further human edits.
lxml (always)pdfplumber (PDF submissions; pypdfium2 used as a fallback)All are present in the Copilot Studio sandbox — no pip install required.
.docx/.dotx handling is pure lxml + standard library.
assets/ (any single .dotx/.docx file — the name doesn't matter) and
used automatically. A different template (.dotx or .docx) may be
supplied explicitly to override it.
either a .docx or a .pdf.
python scripts/redline.py <submission.docx|.pdf> [output.docx]
The bundled template in assets/ is auto-discovered and used as the
baseline (whatever its file name).
To override the template explicitly, pass it via --template:
python scripts/redline.py --template <template.dotx|.docx> <submission.docx|.pdf> [output.docx]
.docx to the user. Output defaults to the submissionname with a _redlined.docx suffix.
One shared engine, two input readers — the only thing that differs by file
type is how the submission's words are read:
.docx / .dotx → read_docx_words() (paragraph text fromword/document.xml).
.pdf → read_pdf_words() (text extraction only — never converted toDOCX; uses pdfplumber, then pypdfium2).
Both produce a single flat word list fed into the same pipeline:
submission's words are each flattened into one stream and compared once with
difflib.SequenceMatcher. PDF line-wrapping and paragraph boundaries are
therefore irrelevant — only real word differences matter.
changes are kept byte-for-byte (all formatting preserved); only changed
paragraphs are rebuilt, with differing words wrapped in <w:ins> / <w:del>.
.docx submissions, template tables are diffed against thesubmission's tables cell by cell (aligned by position: table → row →
cell), with <w:ins> / <w:del> injected directly into each cell while its
<w:tcPr> (width, borders, shading) is preserved. For .pdf submissions
there is no table structure to align, so template tables pass through
untouched and their words are stripped from the extracted text so they aren't
flagged as insertions.
word/document.xml, adds <w:trackChanges/>to settings.xml, and converts the .dotx main-part content type to the
.docx one so the result opens as a normal document.
See the focused reference docs:
references/docx-submissions.md — .docx handling, high-fidelity path.references/pdf-submissions.md — .pdf handling, why text is extracted (notconverted), the word-level diff, and table handling.
on individual words) is simplified to the paragraph's base formatting.
Unchanged paragraphs keep all formatting exactly.
.docx table cells are diffed and redlined (aligned by position);cells are matched by position, so inserted/deleted rows or columns and nested
tables are not tracked, and multiple paragraphs in one cell collapse to one.
.pdf tables are not diffed (passed through unchanged).
the nearest template position; a hard paragraph break may not be recreated.
Take microsoft/redlining-content from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.