docx
An AI agent skill from HKUDS/DeepTutor, scored 69 out of 100 by code.
Code score by group
It loses the most points in Procedure (12), the group that checks whether the steps are numbered, read the context first and say what to do when something fails.
What the author says it does
Read, create, or edit Microsoft Word .docx files — extract/summarize text and tables, generate reports/letters/memos with headings, tables, images, TOC and page numbers, do find-and-replace, or apply tracked changes (redlines) and comments. Use whenever the user has a .docx or wants a Word deliverable. Not for PDF, .xlsx, .pptx, or Google Docs.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- HKUDS/DeepTutor
- Folder
- deeptutor/skills/builtin/docx
- License
- Apache-2.0
- GitHub stars
- 58,502
- SKILL.md lines
- 235
- Other files
- 0
Add docx to your agent
npx skills add HKUDS/DeepTutor --skill docx
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
More skills from HKUDS/DeepTutor
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skill-creator
Design and author DeepTutor skills (SKILL.md packages). Use when the user wants to create a new skill, improve an existing skill, or asks how skills work.
69C -
pptx
Read, create, or edit PowerPoint .pptx decks — build slides from an outline, extract slide text/speaker notes, edit shapes/tables/charts, replace images, or export to PDF/images.…
66C -
pdf
Read, extract (text/tables), create, merge/split/rotate, watermark, encrypt, fill, and render-to-image .pdf files. Use whenever the user uploads a .pdf or asks to produce, edit, o…
63C -
xlsx
Read, create, or edit Excel spreadsheets (.xlsx/.xlsm) — sheet data, formulas, styles, charts, multi-sheet workbooks — and bulk .csv/.tsv tables; use whenever a spreadsheet is the…
58C -
deeptutor-cli
Configure, manage, and use DeepTutor through its CLI, including capabilities, knowledge bases, partners, memory, sessions, notebooks, providers, skills, and the server or Web app.
52D -
34F
-
31F
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.