office-academic-skill

zLanqing/codex-claude-academic-skills · Agent Skill

從論文、論文和其他材料生成中文學術Word報告和PowerPoint簡報。編輯和檢查Office檔案,保留原始標題、公式和參考文獻。

前往安裝 ↓

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發布者zLanqing社群
儲存庫zLanqing/codex-claude-academic-skills ↗
技能資料夾office-academic-skill
星3,592
附帶檔案1
授權MIT
最近更新2026年5月13日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
需要額外軟體
相似技能
找到 36 個相似技能
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安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “office-academic-skill” skill from mozgi.io (https://mozgi.io/skills/office-academic-skill/) for me.

1. Download the archive: https://mozgi.io/skills/office-academic-skill/download
   If it fails, take the skill folder from the source: https://github.com/zLanqing/codex-claude-academic-skills/tree/main/office-academic-skill
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “office-academic-skill” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/office-academic-skill/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Office Academic Skill

Scope

Use this skill for:

  • Word reports from PDFs, DOCX files, arXiv papers, journal articles, theses, and manuscripts.
  • Chinese-first academic PPTs for literature reports, group meetings, courses, opening/midterm/defense presentations, and project presentations.
  • Editable .docx and .pptx generation, inspection, repair, and style preservation.
  • PPT template matching, native slide editing, speaker notes, and visual quality checks.

Do not use this skill for pure manuscript prose drafting without a Word/PPT deliverable; use research-writing-skill instead. Do not use it for MATLAB, Python analysis, statistics, or plotting unless those outputs are being inserted into Word/PPT.

Language And Evidence

  • Default to Chinese for explanations, Word report prose, slide text, outlines, and speaker notes.
  • Preserve English titles, formulas, variables, model names, software commands, reference entries, and direct source labels.
  • Distinguish 论文原文, 图表/公式证据, 代码或仿真结果, 根据上下文推断, and 建议.
  • Do not invent DOI, authors, journal details, experiment values, figure numbers, section names, page numbers, or conclusions.
  • Attach source labels to claims, parameters, quantitative results, formula explanations, datasets, figures, limitations, and novelty statements.

Paper Reading To Word

Default output, unless the user asks otherwise:

1. A bilingual English-Chinese report for fast browsing.

2. A Chinese-only report for submission, teaching, or presentation preparation.

3. Optional Markdown working notes if useful.

Before writing, build a source map:

  • Title, authors, venue, year, DOI/arXiv if present.
  • Section headings and page spans when available.
  • Figures, tables, equations, datasets, hardware/software, and evaluation settings that support key claims.
  • Uncertain or missing metadata marked as 未在原文中明确给出.

Use references/report-structure.md for the default report structure and evidence-label format.

For .docx creation or editing:

  • Prefer structured headings, summary tables, figure/table placeholders, and source labels.
  • Use reliable Chinese fonts such as Microsoft YaHei or SimSun; use Times New Roman, Calibri, or Arial for English and numbers.
  • For existing academic/legal/business Word documents, make a new version or use tracked-change style edits rather than overwriting the original.
  • For advanced DOCX operations, use references/office-docx/ooxml.md, references/office-docx/docx-js.md, and the scripts under references/office-docx/.

Academic PPT Workflow

First clarify only the high-impact missing details:

  • Purpose: literature report, group meeting, course report, opening/midterm/defense, project display, science communication, or other.
  • Duration and slide count.
  • Audience and evaluation criteria.
  • Required template, school/company constraints, fonts, ratio, logo, sections, notes, or output format.
  • Source files: paper, thesis, Word draft, data, MATLAB/Python/Origin figures, screenshots, old PPT, template.

If the user asks to proceed immediately, make reasonable defaults and state them briefly.

For research PPTs, use a concise structure:

1. Cover.

2. Research background and problem.

3. Related work or theoretical basis.

4. Method, model, system, or algorithm.

5. Experiment/simulation setup.

6. Results and analysis.

7. Comparison and discussion.

8. Contributions, limitations, and outlook.

9. Q&A.

For paper-reading PPTs, use:

1. Paper metadata.

2. Background.

3. Core problem.

4. Method framework.

5. Experiment setup.

6. Main results.

7. Contributions.

8. Limitations.

9. Possible improvements.

10. Relationship to the user's topic.

Slide Quality Rules

  • One core point per slide.
  • Prefer action titles that state the conclusion, not vague topic labels.
  • Figures, diagrams, tables, and formulas should carry the technical argument; avoid long paragraphs.
  • Keep axes, units, legends, formulas, assumptions, data sources, and figure captions scientifically accurate.
  • Use white or restrained academic backgrounds unless a supplied template requires otherwise.
  • Limit colors and decoration; use color to direct attention to evidence.
  • Avoid text overflow, image stretching, Chinese garbling, missing fonts, stale template text, bad navigation labels, and overlapping elements.

The academic-pptx repository was reviewed as an external reference. Because it marks its license as proprietary, do not copy its text into outputs or this skill. Use only general academic presentation principles: argument-first structure, action titles, evidence-led slides, and the ghost-deck test.

PPTX Technical Work

For template-matched defense PPTs:

  • Prefer copying native template slides and replacing content rather than rebuilding from blank slides.
  • On Windows with Microsoft PowerPoint installed, PowerPoint COM can be used for cloning, export, and overflow inspection.
  • Never modify the user's original PPTX directly. Work on a timestamped or versioned copy.
  • Do not disable PowerPoint add-ins or change application settings unless the user explicitly approves in that task.

Useful bundled resources:

  • references/thesis-defense-pptx/scripts/ for thesis context extraction, template cloning, slide export, contact sheets, text scans, and overflow inspection.
  • references/office-pptx/ for OOXML-level PPTX inspection and editing.
  • references/office-docx/ for OOXML-level DOCX inspection and editing.

Quality Gate

Before final delivery, verify what is feasible:

  • For Word: inspect extracted text or package XML for missing text, garbled Chinese, broken images, table overflow, and source labels.
  • For PPT: export or inspect slides, check page order, stale placeholders, text overflow, image aspect ratio, overlap, and readability.
  • Report output file paths, source paths, extraction method, checks performed, and unresolved uncertainties.

常見問題

office-academic-skill 技能有什麼用途?

從論文、論文和其他材料生成中文學術Word報告和PowerPoint簡報。編輯和檢查Office檔案,保留原始標題、公式和參考文獻。

如何安裝 office-academic-skill?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

office-academic-skill 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 office-academic-skill 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

office-academic-skill 是免費的嗎?

此技能由 zLanqing 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

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