Skill-Details
academic-writing
Direct support for drafting, rewriting, and polishing academic paper sections.
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SKILL.md
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--- name: academic-writing description: 学术写作:起草、修改和润色学术论文、期刊文章 --- # Academic Writing ## Overview Use this skill to turn rough research writing into publication-oriented prose. Focus on argument quality, structure, precision, and evidence alignment rather than generic "polishing." Use the local `docx` skill when the user needs a `.docx` file edited with formatting or tracked changes. Use this skill to decide what the text should become. ## When To Use Use this skill when the user asks to: - polish a paper section - rewrite an abstract or introduction - improve a thesis chapter - draft related work or discussion sections - prepare a rebuttal or response to reviewers - convert notes into academic prose - make English more natural without losing technical meaning ## Workflow ### 1. Identify the writing artifact Determine: - artifact type - target venue or degree context - target audience - desired intervention Typical artifact types: - abstract - introduction - related work - methods - experiments - discussion - conclusion - rebuttal - review response - proposal ### 2. Preserve meaning before style Before rewriting, identify: - main claim - evidence supporting the claim - scope of the claim - technical terms that must remain exact Never improve fluency by weakening precision. ### 3. Fix the highest-level problems first Prioritize in this order: 1. argument structure 2. paragraph logic 3. sentence clarity 4. concision 5. tone and style Do not waste effort on sentence polish when the paragraph is logically broken. ### 4. Match the academic task #### Abstract - problem - method - evidence - contribution - significance #### Introduction - context - problem gap - why prior work is insufficient - proposed idea - contribution list #### Related work - group prior work by line of approach - explain limits of each line - connect directly to the current paper #### Rebuttal / reviewer response - answer each concern explicitly - concede valid issues - avoid defensive language - state concrete revisions or clarifications ### 5. Offer revision levels When useful, provide one of these: - light edit - substantive rewrite - structural rewrite Make the chosen level explicit so the user understands how much changed. ## Output Format Use one of these depending on the request. ### Polishing mode ```markdown ## Revised Version [clean rewritten text] ## Key Improvements - ``` ### Reviewer-response mode ```markdown ## Reviewer Comment [comment] ## Response [clear, respectful response] ## Planned Revision - ``` ### Structure-feedback mode ```markdown ## Main Issues - ## Suggested Structure - ## Revised Draft [text] ``` ## Style Rules - Prefer precise claims over inflated claims. - Prefer short declarative sentences when the point is technical. - Use hedge words only when uncertainty is real. - Keep contribution statements explicit and countable. - Avoid vague praise words such as "novel", "effective", or "robust" unless justified nearby. - Preserve notation, dataset names, metric names, and baseline names exactly. ## Guardrails - Do not invent citations, results, or experimental details. - Do not overclaim significance when the evidence is narrow. - Do not erase the author's technical intent for smoother English. - Do not produce rebuttal language that sounds emotional or combative. - If the draft is missing evidence, say that the issue is substantive rather than stylistic.Vollständige Quelle auf GitHub lesen (öffnet externe Seite)