docx-advanced-patterns
DOCX Advanced Patterns Skill
Specialized patterns for python-docx that handle complex document structures not covered by basic .text extraction.
When to Use This Skill
Invoke this skill when working with DOCX files that have:
- Nested tables within table cells
- Forms with checkbox options
- Complex multi-row cell layouts
- Checklists with embedded options
- Cell content that doesn't appear with
.textproperty
Use alongside the official docx skill for comprehensive document handling.
Core Pattern: Nested Table Extraction
Problem
More from belumume/claude-skills
ralph-loop
Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
156rtl-document-translation
Translate structured documents (DOCX) to RTL languages (Arabic, Hebrew, Urdu) while preserving exact formatting, table structures, colors, and layouts. Handles quote normalization, multi-pass translation matching, and RTL-specific formatting patterns.
52obsidian-study-vault-builder
Build comprehensive, mobile-compatible Obsidian study vaults from academic course materials with checkpoint-based workflow, error pattern recognition, and quality assurance. Battle-tested patterns from 828KB/37-file projects. Works across all subjects - CS, medicine, business, self-study.
41document-quality-standards
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns to the document-skills plugin.
29rlm-orchestrator
>-
17deep-brainstorming
Use when brainstorming a product or feature where multiple valid technology choices exist and the wrong one is costly, when the user asks for 'objectively best' or 'highest quality', or when the domain has tools/frameworks where marketing or popularity biases could mislead research agents. Also use when starting architecture decisions, evaluating tech stacks, or when the user mentions bias, vendor lock-in, hallucinated benchmarks, or wants research-backed decisions rather than default recommendations.
7