document-docx

Solid

Create/edit .docx files with styles, tables, and templates. Use when asked to generate Word reports, contracts, proposals, or extract text.

Data & Documents 80 stars 17 forks Updated 1 weeks ago MIT

Install

Quality Score: 86/100

Stars 20%

64

Recency 20%

90

Frontmatter 20%

70

Documentation 15%

100

Issue Health 10%

80

License 10%

100

Description 5%

100

Skill Content

# Document DOCX Skill - Quick Reference This skill enables creation, editing, and analysis of `.docx` files for reports, contracts, proposals, documentation, and template-driven outputs. Modern best practices (2026): - Prefer templates + styles over manual formatting. - Treat `.docx` as the editable source; treat PDF as a release artifact. - If distributing externally, include basic accessibility hygiene (headings, table headers, alt text). ## Quick Reference | Task | Tool/Library | Language | When to Use | |------|--------------|----------|-------------| | Create DOCX | python-docx | Python | Reports, contracts, proposals | | Create DOCX | docx | Node.js | Server-side document generation | | Convert to HTML | mammoth.js | Node.js | Web display, content extraction | | Parse DOCX | python-docx | Python | Extract text, tables, metadata | | Template fill | docxtpl | Python | Mail merge, template-based generation | | Review workflow | Word compare, comments/highlights | Any | Human review without OOXML surgery | | Tracked changes | OOXML inspection, docx4j/OpenXML SDK/Aspose | Any | True redlines or parsing tracked changes | ## Tool Selection - Prefer `docxtpl` when non-developers must edit layout/design in Word. - Prefer `python-docx` for structural edits (paragraphs/tables/headers/footers) when formatting complexity is moderate. - Prefer `docx` (Node.js) for server-side generation in TypeScript-heavy stacks. - Prefer `mammoth` for text-first extraction or DOCX-to-HTML (be...

Details

Author: vasilyu1983
Repository: vasilyu1983/AI-Agents-public
Created: 9 months ago
Last Updated: 1 weeks ago
Language: Python
License: MIT

Integrates with

OpenAI · AI Anthropic · AI

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