paper-writing
Skill1 starsChanged 14 days agoMITView on GitHub
工程类学术论文的写作与打磨:从故事线、大纲、初稿,到引用校验、版面预算、投稿打包。六个可执行模式——audit(严苛审查)、rewrite(精修替换)、causal-chain(物理因果链补齐)、forensic(三维正交排除归因)、cite-lint(引用升序自检)、budget-control(双栏页数预算剪裁)。含十项工程写作铁律、反模式库、IEEE 会议模板与投稿清单。Triggers: 写论文, 起草论文, 论文初稿, 论文结构, 改论文, 润色论文, 论文修改意见, 因果链, 归因分析, 引用升序, 页数超了, 版面预算, 投稿打包, IEEE paper, engineering paper.
37 other projects use a version of this.
Adopted by
Most recently taken up by
- DrNbnonono/skillstheir own version, first seen Nov 15, 2026
- kinhluan/skillstheir own version, first seen Nov 8, 2026
- SNL-UCSB/paper-writing-skilltheir own version, first seen Nov 4, 2026
- VeryMath/AI4Math-Writingtheir own version, first seen Nov 3, 2026
- Deadpoolmine/systematic-research-skillstheir own version, first seen Nov 1, 2026
- takayoshitoyoda05/claude-ml-templatetheir own version, first seen Oct 20, 2026
Used with
Projects with it also use ml-training-recipe, replication and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
getcompanion-aiSkillml-training-recipe
Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.
Also in 3 projects that use this
getcompanion-aiSkillreplication
Plan a replication of a paper, claim, or benchmark, and execute only after an explicit environment choice. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.
Also in 3 projects that use this
brainbytes-devSkillalpha-research
Also in 3 projects that use this
JaimeParkerSkillpaper-code-audit
Perform three-way cross-validation of a research paper by comparing the original paper text (via Zotero), official code implementation (via Git), and personal Obsidian notes. Use this skill whenever the user wants to "audit a paper", "verify paper claims against code", "cross-check notes with implementation", "triangulate paper + code + notes", "find discrepancies between paper and code", or mentions wanting a deep, structured comparison of a paper's claims against its implementation and their own notes. Also trigger when the user asks to "analyze this paper thoroughly" with code available, or when they want to systematically reconcile what the paper says, what the code does, and what their notes claim.
Also in 3 projects that use this
JimLiuSkillpdf-explore
Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel haiku calls). For PDF creation/manipulation, use reportlab/pypdf directly.
Also in 4 projects that use this
Yusong-EnceladusSkillresearch-review
Get a deep critical review of research from GPT via Codex MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
Also in 6 projects that use this
- +1 more from getcompanion-ai
Other versions37 projects use a version of this.
Word for word · 0
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Wrote their own version · 37
- wanshuiyin/Auto-claude-code-research-in-sleep★ 19ksame name
- getcompanion-ai/feynman★ 10ksame name
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- MLNLP-World/Paper-Writing-Tips★ 4.7ksame name
- ZimoLiao/scholaraio★ 585same name
- EvoScientist/EvoSkills★ 486same name
- SNL-UCSB/paper-writing-skill★ 249same name
- voidful/academic-skills★ 126same name
- TenureAI/PhD-Zero★ 52same name
27 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository30 other files it gives its agents.
- AGENTS.mdAGENTS.md
- notion-im-helper/CLAUDE.mdCLAUDE.md
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- md2docx-formalSkill
- md-to-70asunflower-latexSkill
- multi-publish-mcpSkill
- notebook-patchingSkill
- notion-im-helperSkill
- paper-figuresSkill
- paper-reviewSkill
- project-initSkill
- project-reviewSkill
- siyuan-backup-syncSkill
- siyuan-kernel-opsSkill
- siyuan-markdown-formula-formatterSkill
- snapSkill
- strict-docx-auditSkill
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The file
Files
paper-writing:工程论文写作
面向 IEEE Transactions / 旗舰会议 / 期刊的工程类论文(实验系统、硬件失效、辐射效应、嵌入式计算、航空航天)。
六个可执行模式
| 模式 | 什么时候用 | 产出 |
audit | 初稿写完,投稿前严苛自查 | 问题清单(按严重度排序)+ 审计报告 |
rewrite | 某段/某节要精修,要能直接替换 | 即插即用的替换段落 |
causal-chain | 有现象、有结论,中间缺物理因果 | 补全的因果链(机制 → 观测量 → 结论) |
forensic | 故障归因说不清,审稿人会追问 | 三维正交排除表(见下) |
cite-lint | 引用编号乱、有孤儿、跳号 | 单调升序的引用表 + 修正建议 |
budget-control | 页数超了 | 按损失从小到大剪裁后的版本 |
audit 的报告模板 templates/audit_report_template.md,rewrite 的替换模板
templates/drop_in_replacement_template.md。
从零到投稿
- 定故事线:一句话说清「解决什么问题、凭什么解决、证据是什么」。写不出这句话就别开始写正文。
- 先大纲后成文:每节先列 3–5 条要点,再扩写。跳过这步的初稿通常要重写。
- 证据先于结论:每个结论后面必须挂一个可核验的观测(数字、图表、引用)。
- 归因用排除法:见
references/causal_attribution.md,模板templates/elimination_framework_template.md - 引用与文献:找范本/选刊用
references/find-papers-by-venue.md(按 venue + 主题查高被引论文); 维护回填清单templates/literature_checklist_template.md,跑scripts/check_monotonic_citations.py - 版面预算:
references/submission_packaging.md,IEEE 模板templates/paper_en_ieee_template.tex、templates/paper_zh_template.md - 图:矢量 PDF 进终稿,
scripts/convert_figures.py --dpi 300出预览 - 打包投稿:
scripts/sync_mirror_and_pack.py,清单见references/submission_packaging.md
完整走一遍的范例(卫星边缘计算方向,8 个阶段)见 references/satellite-case.md——
那是案例,不是模板;卫星专有的遥测/质子束/冷断电阈值别套到别的领域。
十条铁律里最常踩的四条
全文见 references/iron_rules.md,反模式库见 references/anti_patterns.md。
- 每个数字都要能溯源——「性能提升 30%」必须写清相对什么基线、什么条件下测的
- 主张强度要一致——正文说「显著改善」,摘要不能说「彻底解决」
- 不要用营销词——revolutionary / breakthrough / unprecedented 换成可测量的描述
- 未验证的机制要模糊化——实验时没启用的功能,不要暗示它参与了结论
会议特有的硬规则见 references/ieee_conference_iron_rules.md。
常用脚本
python scripts/check_monotonic_citations.py --tex paper.tex --checklist _文献回填清单.md
python scripts/convert_figures.py --input-dir figures/ --dpi 300
python scripts/sync_mirror_and_pack.py --src . --out submission.zip和别的技能怎么分
| 任务 | 归谁 |
| 写 / 改 / 归因 / 引用 / 页数 | 本技能 |
| 审阅已完成的稿子(句级、术语、图表编号、LaTeX 静态健康) | paper-review |
| 画论文图(数据图、多子图、Graphical Abstract) | paper-figures |
| 检查图有没有压字、超画布 | layoutfix |
写作过程中会反复用到后三个,但不要在本技能里重复它们的方法——那是漂移的起点。
自检
投出去之前:
- 一句话故事线能说清吗
- 每个结论都有可核验的观测挂着吗
check_monotonic_citations.py通过吗- 页数在限制内吗
- 图是矢量、字体嵌入了吗
- 打包里没有中间文件吗
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