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:

1. Clarify target: journal/conference/thesis/course report, language, length, audience, and required format.
2. Identify source material: paper notes, experiment results, figures, tables, MATLAB/Python outputs, references, advisor comments.
3. Build an argument outline before full prose: problem, gap, method, evidence, contribution, limitation.
4. Draft in coherent paragraphs, not empty slogan bullets.
5. Add source or evidence labels for quantitative claims and literature claims.
6. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zLanqing
• Source: zLanqing/codex-claude-academic-skills
• License: MIT

Install and usage instructions live in the source repository linked above.