reportlisted

Generate a CUBRID-house-style Korean analysis report as a Word (.docx): error analyses, code analyses, issue write-ups, before/after comparisons, and status/investigation reports. Builds the .docx with docx-js (the engine behind Anthropic's docx skill) from a JSON spec, embedding matplotlib charts, reproducing the exact design: centered cover (navy 23pt title), auto table of contents, navy/blue numbered headings, and bordered tables with row-level color coding (sky-blue header, green pass rows, red fail rows). Use when the user wants a Word report or structured document summarizing analysis, findings, comparisons, or current status of Hibernate/JDBC/CUBRID work. Triggers on phrases like 'write a report', '보고서 만들어', 'Word 문서로 정리', 'docx로 작성', 'analysis report', '검증 보고서', '비교 분석 문서'.
Srltas/claude-skills · ★ 0 · Data & Documents · score 69

Install: claude install-skill Srltas/claude-skills

# Analysis report → Word (.docx) Generate a CUBRID-house-style Korean Word report by writing a JSON spec and running the bundled generator (`assets/build_report.js`), which assembles the .docx with **docx-js** (the engine behind Anthropic's docx skill) and embeds matplotlib charts. The exact house design is reproduced: - **Centered cover**: title (bold 23pt navy #1F3864), subtitle (12pt gray), meta line (9pt gray), bold conclusion abstract (10pt) - **Auto table of contents** generated from the `h1` sections - **Numbered headings**: Heading 1 = navy 15pt bold, Heading 2 = blue 12pt - **Bordered tables with row-level color coding**: sky-blue (#D5E8F0) header row, green (#E2EFDA) pass rows, red (#F8D7DA) fail rows, gray (#F2F2F2) neutral-emphasis - **Running header** set to the report title; footer page numbers ## Step 0: Ensure dependencies (one-time) ```bash # docx-js: document assembly npm list -g docx >/dev/null 2>&1 || npm install -g docx # Python venv: chart rendering (matplotlib) VENV="$HOME/.cache/claude-skills/report-venv" [ -x "$VENV/bin/python" ] || python3 -m venv "$VENV" "$VENV/bin/python" -c "import matplotlib" 2>/dev/null || "$VENV/bin/pip" -q install matplotlib ``` The document is assembled with **docx-js**; `chart`/`diagram` blocks are rendered by `assets/figures.py` (matplotlib) and embedded as images. Extra tools, needed only when those blocks are used: a `mermaid` block needs `curl` + network to reach **Kroki** (or set `KROKI_URL` to a self-hosted instanc