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doc

Read, create, and edit .docx documents with python-docx, then render pages for visual inspection. Organize headings, tables, and lists, and check spacing, alignment, pagination, and readability before delivering the finished document.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.

dp-archive/archive스타 1,107(GitHub 1,107 + cccskills 0)
연동 도구Word

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Creating a Word report with headings and tables
  • Making formatting consistent in an existing document
  • Checking tables and pagination before delivery
  • Reviewing document content alongside its page layout

포함된 파일(6)

  • SKILL.md2.9 KB
  • agents/openai.yaml271 B
  • assets/doc-small.svg1.6 KB
  • assets/doc.png1.2 KB
  • LICENSE.txt10.5 KB
  • scripts/render_docx.py9.5 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

DOCX Skill

When to use

  • Read or review DOCX content where layout matters (tables, diagrams, pagination).
  • Create or edit DOCX files with professional formatting.
  • Validate visual layout before delivery.

Workflow

  1. Prefer visual review (layout, tables, diagrams).
    • If soffice and pdftoppm are available, convert DOCX -> PDF -> PNGs.
    • Or use scripts/render_docx.py (requires pdf2image and Poppler).
    • If these tools are missing, install them or ask the user to review rendered pages locally.
  2. Use python-docx for edits and structured creation (headings, styles, tables, lists).
  3. After each meaningful change, re-render and inspect the pages.
  4. If visual review is not possible, extract text with python-docx as a fallback and call out layout risk.
  5. Keep intermediate outputs organized and clean up after final approval.

Temp and output conventions

  • Use tmp/docs/ for intermediate files; delete when done.
  • Write final artifacts under output/doc/ when working in this repo.
  • Keep filenames stable and descriptive.

Dependencies (install if missing)

Prefer uv for dependency management.

Python packages:

uv pip install python-docx pdf2image

If uv is unavailable:

python3 -m pip install python-docx pdf2image

System tools (for rendering):

# macOS (Homebrew)
brew install libreoffice poppler

# Ubuntu/Debian
sudo apt-get install -y libreoffice poppler-utils

If installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.

Environment

No required environment variables.

Rendering commands

DOCX -> PDF:

soffice -env:UserInstallation=file:///tmp/lo_profile_$$ --headless --convert-to pdf --outdir $OUTDIR $INPUT_DOCX

PDF -> PNGs:

pdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME

Bundled helper:

python3 scripts/render_docx.py /path/to/file.docx --output_dir /tmp/docx_pages

Quality expectations

  • Deliver a client-ready document: consistent typography, spacing, margins, and clear hierarchy.
  • Avoid formatting defects: clipped/overlapping text, broken tables, unreadable characters, or default-template styling.
  • Charts, tables, and visuals must be legible in rendered pages with correct alignment.
  • Use ASCII hyphens only. Avoid U+2011 (non-breaking hyphen) and other Unicode dashes.
  • Citations and references must be human-readable; never leave tool tokens or placeholder strings.

Final checks

  • Re-render and inspect every page at 100% zoom before final delivery.
  • Fix any spacing, alignment, or pagination issues and repeat the render loop.
  • Confirm there are no leftovers (temp files, duplicate renders) unless the user asks to keep them.

리뷰

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Review text for patterns associated with AI-generated writing, including vocabulary, structure, formatting, citations, and model-specific artifacts. The skill combines multiple signals, weighs context and mitigating evidence, and presents a cautious assessment with confidence and caveats.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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biopython

무료

Use Biopython to process DNA, RNA, and protein sequences, read and convert common biology file formats, run alignments or BLAST searches, access NCBI records, and work with protein structures and phylogenetic trees in Python.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reading and converting FASTA, GenBank, or PDB files
  • Calculating sequence statistics or translating DNA
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Turn a project description into a coordinated visual identity package. Define logo variants, color palettes, and typography, then create layouts for business cards and social media covers along with a brand specification document for consistent use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a logo system and brand kit
  • Choosing colors and typography for a new project
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Create original posters and static artwork by first defining a visual direction for color, shape, space, and typography. Receive a Markdown design philosophy alongside a PNG or PDF artwork that communicates primarily through visuals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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Turn a codebase into Mermaid diagrams such as architecture, ER, sequence, class, and flow diagrams. It analyzes relevant files, writes diagram source, renders SVG and PNG images, and checks the rendered result for readability and correctness.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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