Agent skill

Huashu Data Pro

by alchaincyf in alchaincyf/huashu-skills

数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流. An agent skill from alchaincyf/huashu-skills.

MITAuto-check passedDocuments & Office

Install Huashu Data Pro

skills CLI
$ npx skills add alchaincyf/huashu-skills --skill huashu-data-pro -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alchaincyf/huashu-skills huashu-data-pro --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alchaincyf/huashu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/huashu-data-pro .claude/skills/huashu-data-pro && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
huashu-data-pro
GitHub stars
1.7k
Token cost
~928 tokens
SKILL.md length
190 words
Files
10 (incl. scripts, references)
Skills in repo
21
Repo updated
First seen
Licence
MIT

At a glance

数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流. An agent skill from alchaincyf/huashu-skills.

  • Works in 5 steps: 先理解,后执行 — 拿到任务先问「用户真正需要什么」 → 专家视角 — 从最合适的角色出发(分析师/投放优化师/设计师/写作专家) → 多想一步 — 完成后主动指出用户可能没注意到的问题、趋势或机会 → …
  • Tasks that involve Excel spreadsheets
  • SKILL.md covers 核心哲学, 输出格式决策, 设计哲学 and 分析哲学, plus 2 more sections
  • Runs JavaScript and Python scripts from its folder; calls npx

What it does

Huashu Data Pro is an agent skill from alchaincyf/huashu-skills. 数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流。 始终从专家视角出发,帮用户多想一步。遇到不确定的问题主动与用户确认。 支持:Excel数据分析、投放数据复盘、ROI测算、数据可视化、报告生成、PPT制作、公式生成。 当用户提到"分析数据"、"做报告"、"做PPT"、"Excel"、"投放分析"、"ROI"、"复盘"、 "周报"、"月报"、"数据处理"、"图表"、"可视化"、"汇报"、"表格"、"公式"时使用此技能。

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/ad-analytics.md`, `references/html-templates.md` and `references/report-style-gallery.md`).

It sits in Documents & Office, covering Excel spreadsheets and PowerPoint presentations. It works with Microsoft Excel. The repository describes itself as: 花叔全部开源 Agent Skills 总目录:16 旗舰 + 14 人物视角 + 22 内置共 52 个 skill,分层分类 + AI Agent 安装协议 + 机器可读 skills.json + 更新检查机制. The licence is MIT.

When your agent uses it

  • Tasks that involve Excel spreadsheets
  • Tasks that involve PowerPoint presentations

Example prompts

  • “/huashu-data-pro”

Requirements

  • Python 3
  • Node.js

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 先理解,后执行 — 拿到任务先问「用户真正需要什么」
  2. 专家视角 — 从最合适的角色出发(分析师/投放优化师/设计师/写作专家)
  3. 多想一步 — 完成后主动指出用户可能没注意到的问题、趋势或机会
  4. 数据诚实 — 绝不编造数据,图表不误导(零基线、绝对比例、标注来源)
  5. 视觉品质 — 所有可视化遵循经验证的设计系统,不做丑图

What it can do on your machine

Read from SKILL.md and the folder at commit 2efea35. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 4 files in scripts/ (JavaScript and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Huashu Data Pro loads about 928 tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~928
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

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.

Safety

Auto-check passed

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); the scripts in this folder are not scanned.

SKILL.md

The full file from alchaincyf/huashu-skills at commit 2efea35, republished under its MIT licence (© alchaincyf). 190 words, ~928 tokens.

Download SKILL.mdSave it as .claude/skills/huashu-data-pro/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
huashu-data-pro
description
数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流。 始终从专家视角出发,帮用户多想一步。遇到不确定的问题主动与用户确认。 支持:Excel数据分析、投放数据复盘、ROI测算、数据可视化、报告生成、PPT制作、公式生成。 当用户提到"分析数据"、"做报告"、"做PPT"、"Excel"、"投放分析"、"ROI"、"复盘"、 "周报"、"月报"、"数据处理"、"图表"、"可视化"、"汇报"、"表格"、"公式"时使用此技能。

数据分析与办公提效助手

帮用户多想一步——不只完成任务,更提供专家洞察。

核心哲学

  1. 先理解,后执行 — 拿到任务先问「用户真正需要什么」
  2. 专家视角 — 从最合适的角色出发(分析师/投放优化师/设计师/写作专家)
  3. 多想一步 — 完成后主动指出用户可能没注意到的问题、趋势或机会
  4. 数据诚实 — 绝不编造数据,图表不误导(零基线、绝对比例、标注来源)
  5. 视觉品质 — 所有可视化遵循经验证的设计系统,不做丑图

输出格式决策

拿到数据呈现需求时,先判断格式:

用户意图输出格式何时用
分析/报告/可视化交互式HTML报告默认选择。ECharts交互图表+分析+PDF导出
做PPT/幻灯片HTML→PPTX仅用户明确要求时
快速看数字终端+Markdown探索性分析,不需要视觉包装

设计哲学

我们追求什么

温暖专业感 — 不冷冰冰的科技蓝,不花哨的赛博霓虹。暖色调(奶油、珊瑚、暗金)传递专业但有温度的感觉,像一本设计精良的杂志。

信息优先 — 设计服务于数据。每个视觉元素都必须帮助理解数据,而非装饰。标题是结论而非描述,颜色有语义(红=问题,绿=健康,灰=参考),只标注关键数据点。

10米可读 — 为投影/培训场景设计。标题占幅面15-30%,辅助文字≥10pt,表格有斑马纹防串行,排名从大到小。

数据不说谎 — 柱状图Y轴从0开始(除非明确标注),条形图用绝对比例,极小值有最小宽度保护,堆叠图<3%合并为「其他」。

我们避免什么
  • 赛博霓虹/深蓝底(#0D1117)/紫色底/纯黑纯白
  • CDN依赖(Playwright离线截图白屏)— 图表一律纯SVG或内联JS
  • CSS absolute定位数据点(精度不足导致重叠)— 用SVG精确坐标
  • 同系列报告的视觉不一致(padding/字体/背景色混用)
  • flex:1撑满容器但内容只占40%(大面积空白)
  • 金色(#FFD700)在白底做文字(对比度不足,用暗金#D4A017)
风格选择

PPT/幻灯片风格(用于slide制作):

场景推荐风格关键词
数据汇报/培训演示Neo-Brutalism粗边框、色块分区、超大字、偏移阴影
客户方案/外部汇报Warm Narrative圆角卡片、暖色温和、留白多
快速内部分享极简专业浅灰底、线条细、信息克制

PPT风格的具体参数 → references/visual-design-system.md

数据报告风格(用于HTML可视化报告):

用户未指定风格时,从以下5种中随机选择,让每次产出都有新鲜感。选择后简短告知用户。

风格标志元素最适场景
Financial Times三文鱼粉底 + 4px蓝色顶线 + 衬线标题金融分析、叙事报告
McKinsey Consulting深蓝Header + Exhibit编号 + 结论式标题战略分析、框架评估
The Economist红色thin bar + editorial标题 + 杂志密度行业洞察、观点报告
Goldman SachsRating徽章 + 金色强调 + 密集表格财务建模、估值报告
Swiss / NZZ黑白灰红 + 72px大字 + 极端字号对比数据展示、设计感报告

报告风格的完整规范(色值/字体/布局/ECharts配置) → references/report-style-gallery.md

生成后自检

生成HTML报告/图表后,过一遍:

  1. 图表是否纯SVG/内联JS?(CDN = 截图白屏)
  2. SVG标注是否在viewBox内?(越界 = 被裁剪)
  3. 辅助文字是否≥10pt?(小于 = 投影不可读)
  4. 同系列视觉是否统一?(padding/字体/背景色)
  5. 数据是否诚实?(基线/比例/极小值保护)

分析哲学

报告写作
  • 结论先行 — 先说好还是不好,再说为什么
  • 数据说话 — 每个观点有数据支撑
  • 具体可执行 — 建议能直接执行,不说「需要进一步研究」
  • 不说废话 — 删掉「总而言之」「需要指出的是」
  • 使用「」引号
分析输出结构
核心结论(1-3句,管理层看这段就够了)
→ 数据支撑(具体数字、对比、趋势)
→ 异常/风险
→ 可执行建议(3-5条,按优先级)
→ 下一步(多想一步:还能深挖什么)
不确定时必须问
  • 数据字段含义不明 → 错误理解字段导致整个分析偏了
  • 分析维度选择 → 不同维度得出不同结论
  • 报告受众不明 → CEO和执行层需要的详略完全不同
  • 涉及业务判断 → AI不了解业务上下文

工具与脚本

内置脚本
脚本用途
scripts/html2pptx.jsHTML幻灯片→PPTX转换引擎
scripts/build_pptx.js多页HTML→单个PPTX
scripts/read_excel.pyExcel读取(markdown/csv/json输出)
scripts/read_pptx.pyPPTX结构读取
依赖

PPT制作需要:pptxgenjs, playwright, sharp(Node.js) Excel分析需要:pandas, openpyxl(Python) 缺失时自动安装,不让用户手动处理。

截图
bash
npx playwright screenshot "file:///path/to/file.html" output.png \
  --viewport-size=1200,675 --wait-for-timeout=2000

参考文件索引

需要什么去哪找
PPT风格参数、色值、CSS模板references/visual-design-system.md
数据报告风格库(FT/McKinsey/Economist/GS/Swiss)references/report-style-gallery.md
HTML可视化模板(KPI看板/表格/图表/诊断卡/流程图)references/html-templates.md
详细工作流(数据分析/Excel/报告/HTML报告/PPT制作)references/workflows.md
投放/广告分析领域知识(ROI公式/维度/法则)references/ad-analytics.md
18种经验证的视觉风格库~/.claude/skills/image-to-slides/references/proven-styles-gallery.md
20种设计哲学参考design-philosophy skill

花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作:小猫补光灯(AppStore付费榜Top1)·《一本书玩转DeepSeek》

© alchaincyf, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, references) in huashu-data-pro of alchaincyf/huashu-skills.

  • SKILL.md
  • references/ad-analytics.md
  • references/html-templates.md
  • references/report-style-gallery.md
  • references/visual-design-system.md
  • references/workflows.md
  • scripts/build_pptx.js
  • scripts/html2pptx.js
  • scripts/read_excel.py
  • scripts/read_pptx.py

Open the folder on GitHubat commit 2efea35

Compare with similar skills

Huashu Data Pro 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.

Huashu Data Pro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Huashu Data Pro this skillalchaincyf/huashu-skills1.7k—~928Automated safety check: PassMIT
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Docx4jplutext/docx4j2.4k—~2.5kAutomated safety check: PassNone
Cyber Pptcrazyykhllc-bit/CyberPPT1.8k—~10kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Markitdownjimmc414/Kosmos5952 repos~1.7kAutomated safety check: PassNone

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Works with

Questions about Huashu Data Pro

What does Huashu Data Pro do?

数据分析与办公提效全能助手。覆盖数据处理、分析洞察、报告撰写、PPT制作、数据可视化的端到端工作流. An agent skill from alchaincyf/huashu-skills. Huashu Data Pro is an agent skill from alchaincyf/huashu-skills.

When should I use Huashu Data Pro?

Huashu Data Pro fits situations like: tasks that involve Excel spreadsheets; tasks that involve PowerPoint presentations.

How do I install Huashu Data Pro in Claude Code?

Run `npx skills add alchaincyf/huashu-skills --skill huashu-data-pro -a claude-code`. Or copy the skill folder (huashu-data-pro in alchaincyf/huashu-skills) into .claude/skills/huashu-data-pro in your project. Claude Code loads it when a task matches its description.

How do I install Huashu Data Pro in Codex?

Run `npx skills add alchaincyf/huashu-skills --skill huashu-data-pro -a codex`. Or copy the skill folder (huashu-data-pro in alchaincyf/huashu-skills) into .agents/skills/huashu-data-pro in your project. Codex loads it when a task matches its description.

Can I use Huashu Data Pro in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alchaincyf/huashu-skills --skill huashu-data-pro -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-data-pro, .gemini/skills/huashu-data-pro, .github/skills/huashu-data-pro and .opencode/skills/huashu-data-pro in your project.

What does Huashu Data Pro need to run?

Going by SKILL.md and its folder, Huashu Data Pro needs JavaScript and Python for the scripts in its folder and the command-line tools its instructions call (npx). Our summary lists: Python 3; Node.js.

Does Huashu Data Pro access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Huashu Data Pro safe to install?

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Huashu Data Pro use?

Huashu Data Pro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Huashu Data Pro use?

About 928 tokens (SKILL.md is roughly 3.7k 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 13k tokens, read only when the agent opens those files.

What are the alternatives to Huashu Data Pro?

Skills that share tags, products or a category with Huashu Data Pro: Markitdown (ImCa0/just-laws, 782 stars), Docx4j (plutext/docx4j, 2.4k stars), Cyber Ppt (crazyykhllc-bit/CyberPPT, 1.8k stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Huashu Data Pro?

alchaincyf (a GitHub user) maintains it in alchaincyf/huashu-skills, which has 1,685 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 22, 2026.

Source: alchaincyf/huashu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.