Research Writing Skill

Research Writing Skill

Scope

Use this skill for research writing and revision when the output is prose, LaTeX, Markdown, or manuscript text. Use office-academic-skill instead when the main deliverable is Word/PPT. Use scientific-toolkit-skill when the task is primarily MATLAB, Python, plotting, statistics, simulation, or literature search.

Writing Principles

• Default to Chinese academic expression unless the user requests English.
• Preserve English titles, formulas, variables, methods, software names, citations, and reference entries.
• Do not invent data, DOI, journal details, experiment settings, results, or author claims.
• Separate 原文/已有数据, 用户确认内容, 根据上下文推断, and 建议性扩展.
• Prefer verifiable technical statements over generic claims.
• When revising, preserve the user's intended meaning and terminology unless a change is clearly needed.

Manuscript Workflow

For a new section or paper draft:

• Clarify target: journal/conference/thesis/course report, language, length, audience, and required format.
• Identify source material: paper notes, experiment results, figures, tables, MATLAB/Python outputs, references, advisor comments.
• Build an argument outline before full prose: problem, gap, method, evidence, contribution, limitation.
• Draft in coherent paragraphs, not empty slogan bullets.
• Add source or evidence labels for quantitative claims and literature claims.
• Revise for logic, specificity, terminology consistency, and citation accuracy.

For revision or polishing:

• Keep claims tied to evidence.
• Replace vague words such as "显著", "先进", "有效", "鲁棒" with measured conditions, comparison baselines, or remove them.
• Check whether each paragraph advances the section's purpose.
• Keep formulas with variable definitions, units, assumptions, and applicable conditions.
• For experimental sections, state dataset/sample, hardware/software, parameters, metrics, baselines, and uncertainty when available.

Section Guides

Use these default moves unless the user's school or journal template overrides them:

• Abstract: problem, method, experiment/data, key result, contribution.
• Introduction: background, unresolved gap, why it matters, proposed approach, contributions.
• Related work: organize by technical theme, compare assumptions and limitations, avoid simple paper-by-paper summaries.
• Methods: model assumptions, variables, workflow, algorithm, implementation details needed for reproduction.
• Experiments: data/source, platform/software, parameters, metrics, baseline, repeated trials, visualization plan.
• Results and discussion: claim first, evidence second, mechanism/explanation third, limitation last.
• Conclusion: answer the research question, summarize evidence, state limitations and next steps.

Bundled References

The folder references/paper-writing/ contains external writing checklists and section patterns adapted as references. Load only the relevant file when needed:

• brainstorming_guide.md for turning an unclear idea into a paper plan.
• section_rhetorical_moves/ for section structure.
• writing_checklists/ for self-diagnosis.
• figure_templates/ for figure planning.
• author_profile/ for editorial heuristics.

These references come from an external systems/networking-oriented repository. Treat them as optional craft guidance, not binding rules, and adapt them to光电信息科学与工程, optics, optoelectronics, sensing, communication, signal processing, and MATLAB simulation work.

Final Checks

Before delivery, state:

• What was drafted or revised.
• Which source material was used.
• Which claims still need user-provided data or citation support.
• Any uncertainty about terminology, parameters, or references.