Skill Detail

Run Chinese-first academic writing, Office, and scientific workflows with Academic Skills

Install and invoke a Chinese-first academic skill bundle for paper writing, editable Word/PPT research documents, and scientific computing tasks in Claude Code or Codex.

Templates & WorkflowsMulti-Framework
Templates & Workflows Multi-Framework Security Reviewed
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COPY SKILL INSTRUCTIONS (OPTIONAL)
npx skills add agentskillexchange/skills --skill run-chinese-first-academic-writing-office-and-scientific-workflows-with-academic-skills Copy
Uses the third-party skills CLI, not an ASE-owned installer. Check your agent’s compatibility. This copies instructions; complete the upstream tool setup below separately.
At a glance
Tools required
Claude Code or Codex; git; optional Microsoft Office-compatible tooling for DOCX/PPTX workflows; optional MATLAB/Octave or Python scientific stack for computation workflows
Install & setup
git clone https://github.com/zLanqing/codex-claude-academic-skills.git && cp -r codex-claude-academic-skills/research-writing-skill ~/.codex/skills/ && cp -r codex-claude-academic-skills/office-academic-skill ~/.codex/skills/ && cp -r codex-claude-academic-skills/scientific-toolkit-skill ~/.codex/skills/
Author
zLanqing
Publisher
Independent
Last updated
Sep 2, 2026
Quick brief

Use this skill when a researcher wants an agent to run a source-backed academic workflow instead of improvising generic writing or analysis prompts. The operator installs the three bundled skills from zLanqing/codex-claude-academic-skills, selects the matching lane, and keeps outputs grounded in supplied papers, data, citations, formulas, and user-confirmed facts.

How it works

What this skill actually does

The workflow has three bounded modes: research-writing-skill drafts, revises, polishes, and structures academic papers or reviewer responses; office-academic-skill turns papers and research context into editable Word reports or PowerPoint decks with source labels and academic layout checks; scientific-toolkit-skill helps with MATLAB, Octave, Python scientific analysis, statistics, simulation, and publication-grade plots.

Invoke this when the user needs repeatable Chinese-first research assistance across writing, document generation, and scientific computation in an agent runtime. Do not treat it as a general academic platform, citation authority, or unattended research producer. The agent must not invent data, DOI metadata, experiments, journal facts, citation details, or quantitative results, and should label source-backed facts, user-confirmed content, inference, and suggestions separately.