Scholar Slides
luwill/research-skills
A skill your agent uses when the user wants a research paper, arXiv/DOI link, or research topic turned into academic slides — journal club / lab meeting (组会汇报), thesis defense (答辩幻灯片), or conference…
做机构级研究报告与学术论文——行业报告、白皮书、年度调研、数据洞察、arXiv论文,也含16:9咨询deck型报告(一页一结论)。定结构、写发现、建图表视觉系统。规范提炼自2026年顶级机构报告实测。单篇文章、纯演示PPT不适用(走design/slides)。
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alchaincyf/huashu-report huashu-report --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .claude/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alchaincyf/huashu-report huashu-report --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .agents/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alchaincyf/huashu-report huashu-report --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .cursor/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alchaincyf/huashu-report huashu-report --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .gemini/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alchaincyf/huashu-report huashu-reportInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .github/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alchaincyf/huashu-report --skill huashu-report -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alchaincyf/huashu-report huashu-report --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "huashu-report" agent skill from https://github.com/alchaincyf/huashu-report/tree/master into .opencode/skills/huashu-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huashu-report", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
huashu-report做机构级研究报告与学术论文——行业报告、白皮书、年度调研、数据洞察、arXiv论文,也含16:9咨询deck型报告(一页一结论)。定结构、写发现、建图表视觉系统。规范提炼自2026年顶级机构报告实测。单篇文章、纯演示PPT不适用(走design/slides)。
Huashu Report is an agent skill from alchaincyf/huashu-report. 做机构级研究报告与学术论文——行业报告、白皮书、年度调研、数据洞察、arXiv论文,也含16:9咨询deck型报告(一页一结论)。定结构、写发现、建图表视觉系统。规范提炼自2026年顶级机构报告实测。单篇文章、纯演示PPT不适用(走design/slides)。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files and assets (for example `README.md`, `assets/chart.py` and `assets/render.py`).
It sits in Research & Science, covering Academic paper search and Slides and decks. It works with arXiv. The repository describes itself as: 机构级研究报告 Agent Skill · 规范从 2026 年顶级机构报告实物反向提炼,42 份采集/41 份进量化基线(Stanford/McKinsey/BCG/OpenAI/PwC/World Bank 等)· 六种报告原型 + 8 种图表模式 + 可复用生产流水线 · 跨 agent 通用. The licence is MIT.
Read from SKILL.md and the folder at commit bdc08be. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pdftoppmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Huashu Report loads about 1.4k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 270 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from alchaincyf/huashu-report at commit bdc08be, republished under its MIT licence (© alchaincyf). 270 words, ~1,400 tokens.
.claude/skills/huashu-report/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.不是「把资料整理成文档的人」。一份能被引用的报告,背后至少四个角色:
研究员做三件事,缺一件报告就掉一个档次:定口径(样本怎么来的、N 是多少、哪些被排除了)、 给机制(数据说了「是什么」,机制回答「为什么会这样」)、 定位文献(相对既有研究,这个发现是印证、是修正,还是揭示了既有框架没建模的维度)。 只做第一件,交出去的是资料汇编;三件都做,才是研究。
编辑决定读者读到第 3 页时应该已经知道什么。他砍掉一切「因为我们查到了所以写进去」的内容, 也砍掉一切关于「我们是怎么做的」的自我叙事。 信息设计师建立那套让 60 页保持一致的系统——标题层级、图表编号、数据源行的格式。读者不会注意到它,但它一旦崩了,报告就显得业余。 数据可视化师决定这个数字该是柱、是点、还是一句话。他的判据不是「哪种好看」,是「读者要拿它比什么」。
依次成为他们四个。跳过任何一个,产出就缺一整层。
最常被跳过的是研究员的后两件事。 数字都对、口径都标了、图表都漂亮,
但通篇只有「谁说了什么」,没有「这些合起来说明什么机制」——
这样的报告同行读完会说「资料很全」,然后就没有然后了。
详见 references/研究深度.md。
① 读者拿它干什么? 这一个问题决定后面所有事。
| 读者要 | 报告原型 | 特征 |
|---|---|---|
| 引用你的数字 | 学术型 | 竖版、方法论透明、图表编号 Figure、预先反驳自己 |
| 拿去开会说服人 | 咨询 deck 型 | 横版 16:9、一页一结论、标题就是结论句 |
| 理解一个群体 | 调查型 | 竖版双栏、问卷原题随图、大数字视觉锚 |
| 查具体数据 | 研报型 | 竖版、Exhibit 编号、表格密度高、中性描述 |
| 同行评审、投 arXiv | 论文型 | 英文、LaTeX、IMRaD、contributions 显式列出 |
| 理解一个领域并据此行动(无背景) | 科普型 | 三幕骨架、场景开篇、口径搬进侧栏、结尾交付工具箱 |
论文型换生产轨道(LaTeX 不是 HTML),且渠道有能一票否决选题的硬约束——
动手前必读 references/论文.md。
科普型和学术型的差别不在严谨度,在叙述骨架——
数字全对、口径全标、局限性单独成节,读者读三页就放下,这是它最常见的失败。
动手前必读 references/科普.md,那里有六个可检查"做没做"的承重手法。
判据只有一句:读者读到第三页会不会继续读。
选错原型是最贵的错误——把要被引用的东西做成 deck,没人能引;把要开会用的做成 60 页学术报告,没人会读。
② 这份报告的一句话是什么? 写下来。如果写不出一句读者会复述给别人的话,说明还没有报告,只有素材。
③ 有没有外部基准? 只有内部对比(这条比那条好、这季比上季强)的报告是半成品——读者读完仍不知道该不该行动,因为他不知道行业水平在哪。能查就去查,查不到就在方法论里明说缺了它。
每个数字都要有分母。 "多数企业正在部署 agent" 是废话;"951 家企业里 7% 跑通全自主 agent(Bain, 2026)" 是数据。任何百分比后面没有 N,读者就没法判断它是不是噪声。
图表标题写结论,不写主题。 ❌「按职能划分的招聘计划」 ✅「研发、销售、产品团队预计扩张,客服和 G&A 预计收缩」。唯一例外是研报型——查数的读者要中性描述。
预先反驳自己。 结论段之后专门写一段:这个发现可能被什么替代解释推翻,你排除了哪些,还剩哪些没排除。Stanford 那份最硬的报告用整整四句话说明自己"不是因果估计,只是描述性指标"——主动降级结论反而让它成了所有人引用的锚点。
附录是参考文献表,不是数据表的转印。 一条来源一行,同一份来源被二十个数字引用也只出现一次——
附录的长度跟来源数走,不跟数据点数走。口径写在用得到它的那一页(正文括号、图注的 N、侧栏),
完整数据表随交付物给文件,不排进正文页。体量闸:附录不超过正文的 10%,超了就是把工作过程
当成了交付物。做法与判据见 references/结构骨架.md「附录放什么」。
报告里不写「我是怎么做的」。 「下载环节踩了个坑」「脚本一开始抓错了文件」属于工作日志,不属于研究报告。判据:把这句删掉,读者对结论的判断会不会变?不变就删。样本框、纳入排除标准、口径统一规则是方法论,必须写;工具实现和中间故障是工程记录,不写。
① 定原型和一句话 → ② 建数据表 → ③ 写正文 → ④ 补机制与文献定位 → ⑤ 做图 → ⑥ 渲染逐页自检④不能省。 只做到③,交出去的是资料汇编——数字全对、口径全标,同行读完说一句「资料很全」就没有然后了。 研究员的增值在「为什么会这样」和「相对既有研究这个发现在什么位置」。
②必须在③之前。 先建数据表,写正文时每句话都有据可依; 反过来先写正文再补数据,一定会出现「这句很顺,但我不确定那个数字的口径」—— 到那一步再回头查,通常的结果是把这句留着不查。
数据表里每个数字带口径、样本量、出处。口径写不出一句完整的话,这个数字就不能用。
按需读,不要全部载入:
references/结构骨架.md — 四种原型的完整组件清单、目录怎么写、方法论页放什么、附录放什么、篇幅基线references/科普.md — 面向大众的长篇科普必读:三幕骨架、六个承重手法、
严谨性怎么搬家而不是打折、以及为什么模仿某位科普作家的声音一定会失败references/研究深度.md — 写之前读这个:机制分析、文献定位、分析层次、报告里不写什么references/行文.md — 摘要、发现、图注、方法论的具体句式;可信度从哪来references/视觉系统.md — 版式、配色、字号、行距、字体、封面、页眉页脚、表格排版的量化规范references/视觉方向库.md — 定视觉调性时读这个:9 个成体系的视觉方向 + 版式动作库;挑 2–3 个候选摊给用户选,连续两份报告不用同一个方向references/图表模式库.md — 13 个图表做法与选型速查,含会改变读者结论的三个陷阱references/生产流水线.md — 动手做之前读这个:版式基座契约、三文件架构、分页容器、渲染与自检、
十一个具体的坑。超过 100 页、或者要把章节分给多个 agent 写,另读它末尾两节——
「规则该放在哪一层」和「上百页量级:额外的五件事」。40 页的规范在那个量级上不够用,
而不够用的方式是静默的:没有人违规,一致性自己漂走references/论文.md — 论文型全流程:arXiv 渠道硬约束、写法差异、LaTeX 流水线、引用纪律references/实证基线.md — 41 份报告的量化统计,规范的出处(样本清单与解剖数据在 corpus/)三个 assets 直接复制到项目里改配置用,不要重造:assets/base.css(承重排版基座,
A4/全出血两种页面模式,字号行距只改变量)、assets/chart.py(8 种图型的内联 SVG 库,
支持负值)、assets/render.py(渲染 + 目录页码自动回填 + 机械自检 + 逐页留白几何实测)。
verified 位有人负责,而且负责的规则是开工时定的——
调研 agent 只填 value/basis/src、从不置 verified,于是「交付前清零⚠未核」
这条闸永远清不了。开工就要定:谁在什么条件下有权置 true。
核到什么程度是交付物随附的数据表文件里的事,不靠在附录里逐条挂红字解决机械能查的(assets/render.py 自动跑):图表编号连续且格式统一、
目录页码与实际一致、没有内容极少的页、没有占位符残留、
每页四边留白实测达标(几何自检:逐页渲成灰度图量 mm 数,内容顶格、
边距被挤掉直接报页码;全出血页自动跳过并提示肉眼确认;
同时列出「下半页大面积留白」候选页)。
章数够多时还会自动跑三项一致性检查(longdoc_check):各章加粗处数、
各章篇幅方差、中文标点后的残留空格。这三条在一个人写的 40 页报告里不会出问题,
一旦分章外包就必漂——它们都是「每个写作者各自记住一条规则」型的约束,
而记忆不跨 agent 共享。详见 references/生产流水线.md「规则该放在哪一层」。
眼睛才能查的——必须逐页看,不能抽检:
pdftoppm -png -r 70 报告.pdf 自检/pflex:1 + 对侧无 min-width)break-before: avoid)抽检对排版缺陷无效。 排版缺陷不是均匀分布的,它集中在最复杂的那几页—— 长表格、宽图表、附录。上一次就是抽看了四页,漏掉了附录里的列粘连,交付后才被指出来。
空白页不用手筛——render.py 几何自检会把「下半页墨水量异常低」的页码列出来, 逐页看的时候先看那几页。
300 页以上换个看法,但仍然是逐页。 把 12 页拼成一张检查表(每页缩到 430px 宽, 四列三行,每格标页码),30 张图扫完全书;上面那些缺陷在这个尺度上全都看得见。 扫到可疑的再单独开全尺寸那一页。每一页都进过眼睛,只是分辨率分两档。
发现一个排版缺陷后,先问「同样的结构还出现在哪」。 列粘连第一次出现在附录 A, 只把那一列改成左对齐就过去了;它在附录 B 又出现了一次,因为根因没动。修症状会让同一个 bug 出现两次。
© alchaincyf, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files (references, assets) in the repository root of alchaincyf/huashu-report.
Open the folder on GitHubat commit bdc08be
Huashu Report next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Huashu Report this skillalchaincyf/huashu-report | 447 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Scholar Slidesluwill/research-skills | 862 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Paper Analyzerzsyggg/paper-craft-skills | 1.3k | — | ~1.9k | Automated safety check: Pass | None | |
| Literature PDF OCR Library BuilderLigphiDonk/Oh-my--paper | 739 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Paper ReadingEdwardxlai/easyread | 885 | — | ~567 | Automated safety check: Pass | MIT | |
| Paper OrchestraAr9av/PaperOrchestra | 679 | 1 repos | ~3.5k | Automated safety check: Pass | Custom licence |
luwill/research-skills
A skill your agent uses when the user wants a research paper, arXiv/DOI link, or research topic turned into academic slides — journal club / lab meeting (组会汇报), thesis defense (答辩幻灯片), or conference…
zsyggg/paper-craft-skills
将学术论文转化为深度HTML长文。6轮强制工作流、代码仓库搜索、公式渲染、Mermaid图表. An agent skill from zsyggg/paper-craft-skills.
LigphiDonk/Oh-my--paper
Searches and downloads legally accessible academic PDFs, OCRs them to Markdown, and organizes the results into a traceable, AI-readable literature library.
Edwardxlai/easyread
论文共读:用 EasyRead(E:\CursorProject\easyread)这个本地工具读论文。用户给一篇 PDF 或 arXiv 编号时,导入文献库、翻译成中文(后台引擎或对话里的 agent 亲自译);之后边读边讨论,agent 读用户在页面上的笔记和提问,把回答、解释、原文核对提示追加到对应段落旁。用于…
Ar9av/PaperOrchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines…
ltczding-gif/ref-downloader
A skill your agent uses when the user asks to batch-download academic PDFs with ref-downloader — either ALL references of one paper (Mode A: DOI or PDF input), OR a custom batch of papers (Mode B…
Works with
Categories
做机构级研究报告与学术论文——行业报告、白皮书、年度调研、数据洞察、arXiv论文,也含16:9咨询deck型报告(一页一结论)。定结构、写发现、建图表视觉系统。规范提炼自2026年顶级机构报告实测。单篇文章、纯演示PPT不适用(走design/slides)。. Huashu Report is an agent skill from alchaincyf/huashu-report.
Huashu Report fits situations like: tasks that involve Academic paper search; tasks that involve Slides and decks.
Run `npx skills add alchaincyf/huashu-report --skill huashu-report -a claude-code`. Or copy the skill folder (the alchaincyf/huashu-report repository) into .claude/skills/huashu-report in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alchaincyf/huashu-report --skill huashu-report -a codex`. Or copy the skill folder (the alchaincyf/huashu-report repository) into .agents/skills/huashu-report in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alchaincyf/huashu-report --skill huashu-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/huashu-report, .gemini/skills/huashu-report, .github/skills/huashu-report and .opencode/skills/huashu-report in your project.
Going by SKILL.md and its folder, Huashu Report needs Python for the scripts in its folder and the command-line tools its instructions call (pdftoppm). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Huashu Report is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 24k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Huashu Report: Scholar Slides (luwill/research-skills, 862 stars), Paper Analyzer (zsyggg/paper-craft-skills, 1.3k stars), Literature PDF OCR Library Builder (LigphiDonk/Oh-my--paper, 739 stars) and Paper Reading (Edwardxlai/easyread, 885 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alchaincyf (a GitHub user) maintains it in alchaincyf/huashu-report, which has 447 GitHub stars. The repository was last updated on September 14, 2026.
Source: alchaincyf/huashu-report on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.