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Agent Skill · 前端设计

tufte-report(塔夫特报告)

tufte-report 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

tufte-report 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 9,393。

总安装 218周安装 9GitHub Stars 141下载 71核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:tufte-report(塔夫特报告)
来源仓库:https://github.com/glebis/claude-skills
仓库路径:skills/tufte-report
安装命令:
npx skills add https://github.com/glebis/claude-skills --skill tufte-report
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/glebis/claude-skills --skill tufte-report

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

tufte-report 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装并使用。

安装前建议确认权限范围和维护状态,注意是否触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/tufte-report

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/glebis/claude-skills --skill tufte-report;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tufte-report 怎么安装?

在终端执行 npx skills add https://github.com/glebis/claude-skills --skill tufte-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tufte-report 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tufte-report 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

tufte-report 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

tufte-report 用的人多吗?

公开数据是累计安装 218 次,近一周安装 9 次,下载 71 次,GitHub 141 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tufte-report 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
tufte-report

塔夫特报告 · 本页

218141操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Tufte Report — Data-Driven Infographic Skill

Create standalone HTML reports that combine editorial narrative with interactive data visualization in Edward Tufte's style: high information density, minimal chart junk, typography-first design.

Design Philosophy

Tufte's core principles drive every decision:

  • Data-ink ratio: every pixel of ink should represent data, not decoration
  • Small multiples: repeat a design to show comparison, not animation
  • Sparklines: word-sized graphics that live inside prose
  • Layering: overview first, then detail on demand
  • Integration: text and graphics share the same visual space (sidenotes, not footnotes)

The report should feel like a well-edited magazine feature — you read it top to bottom, narrative carries you through the data, and every chart earns its space by answering a specific question.

Onboarding — Ask Before Building

Before writing ANY code, ask these questions. Do not proceed until all are answered:

  1. What data sources do you have? (CSV, JSON, SQLite, API endpoint, or raw numbers)
  2. What is the primary question this report should answer? (one sentence — this becomes the title and drives all design decisions)
  3. How many sections do you need? (cap at 8 — push back if more are requested; each section should answer one sub-question)
  4. What's the output format? (standalone HTML file, or embedded component)
  5. Time budget? Provide an estimate:

- 1-2 sections with tables only: ~200 LOC, ~5 min bypass / ~10 min manual - 3-4 sections with 2-3 charts: ~500 LOC, ~15 min bypass / ~25 min manual - 5-8 sections with charts + health data + sparklines: ~1200 LOC, ~30 min bypass / ~50 min manual

Scope Protection

This skill enforces hard limits to prevent scope creep:

  • Max 8 sections — if the user asks for more, suggest combining related topics
  • Max 2 chart types per section — a section gets one primary chart and optionally one supporting chart or table. More than that means the section should split
  • Max 3 colors per chart — beyond that, use small multiples instead of rainbow legends
  • No 3D charts, no pie charts, no donut charts — these violate Tufte principles
  • No gratuitous animation — scroll-reveal on enter is fine; spinning, bouncing, or pulsing is not
  • Every chart must have a caption — if you can't write a one-sentence caption explaining what the chart shows, the chart shouldn't exist

When the user asks for something outside these limits, respond with: "That would take the report from [current LOC estimate] to [new estimate]. The extra complexity adds [X] but risks [Y]. Shall I proceed, or can we [simpler alternative]?"

Architecture

report.html (standalone, no build step)
├── Google Fonts CDN (EB Garamond)
├── jsDelivr CDN (Monaspace Argon woff2)
├── jsDelivr CDN (Chart.js 4.x UMD)
├── Inline <style> (design system CSS)
├── Inline HTML (semantic structure)
└── Inline <script> (data + Chart.js configs + sparklines + scroll-reveal)

No build tools, no frameworks, no npm. One file, opens in any browser.

Design System

Read references/design-tokens.md for the complete CSS variables, typography scale, and color palette.

Read references/components.md for the HTML+CSS snippet of every reusable component.

Read references/charts.md for Chart.js configuration patterns and inline SVG sparkline code.

Report Structure Template

Every report follows this skeleton:

1. Title + subtitle + data source tags (monospace, subtle)
2. [Optional] Status dashboard (4-column KPI strip)
3. Overview narrative with inline sparklines + TOC sidebar
4. Summary cards (2-4 KPI tiles with sparklines)
5. Sections (each: state-line → chart+narrative aside → table+narrative aside)
6. [Optional] Decision register (threshold table with status colors)
7. Footer (generation date, sources)

Section Pattern

Each section follows this rhythm:

<h2> with ↑ back-to-top link
<p class="state-line"> — one italic sentence, the takeaway
<div class="aside-container"> — chart on left, narrative on right
<div class="aside-container"> — table on left, interpretation on right

The alternation of chart→narrative→table→narrative creates visual breathing room and prevents "wall of data" fatigue.

Rules for Narrative Text

  • State-lines (the italic intro under each heading): one sentence, max 20 words, states the conclusion not the topic. "HRV down 13%, steps down 42%" not "This section covers health metrics"
  • Aside narratives: 3-4 short paragraphs, each starting with a bold keyword. Written like a newspaper sidebar — facts first, interpretation second
  • Flyouts: reserved for actionable insights or methodology notes. The ✦ symbol marks them as "pay attention"
  • No "tells its own story" or similar filler. Every sentence should contain a number or a decision

Dual-Font Strategy

ContextFontWhy
All body text, headers, captionsEB GaramondClassical editorial feel, excellent readability
All numbers in tablesMonaspace ArgonTabular figures align in columns, monospace scannability
Big numbers in cards/dashboardsMonaspace ArgonVisual weight, distinct from prose
Status indicators, trend percentagesMonaspace ArgonPrecision signaling
Data source tags, code referencesMonaspace ArgonTechnical register
Ornament separators (:::)Monaspace Argon with ligaturesProgramming aesthetic, replaces floral Unicode

Color Principles

Use --ink (near-black) for text, --bg (warm white) for background. Chart colors must be semantically meaningful — don't assign colors randomly:

  • Orange (--spark-claude, #c45a28): primary data stream, effort/work metrics
  • Green (--spark-wispr, #2a7a5a): growth, positive health signals, English language
  • Purple (--spark-social, #5a5aaa): social/communication metrics
  • Blue (rgba(42,80,140)): secondary overlay lines on charts
  • Red (#a02a2a): alerts, negative trends, declining metrics
  • Amber (#c89000): warnings, watch-level signals
  • Green (#2a7a3a): healthy baselines, positive trends

Never use more than 3 colors in a single chart. If you need more, use opacity/saturation variations of the same hue.

Session Lessons (What Goes Wrong)

Based on building the reference report, these are the recurring problems:

  1. Chart.js CDN version: Use @4 not a specific patch version — specific versions may not exist
  2. Chart.js defaults: Set individual properties, never replace entire objects (Chart.defaults.scale.grid.color = '#eee' not Chart.defaults.scale.grid = {color: '#eee'})
  3. Legend circles: Use usePointStyle: false with boxWidth: 8, boxHeight: 8, borderRadius: 4 for true circles. usePointStyle: true creates ovals
  4. file:// protocol: Charts won't load CDN scripts via file://. Always test via localhost
  5. Back-to-back charts: Always separate consecutive charts with narrative, a table, or an ornament. Two charts in a row = "wall of data"
  6. Table overflow on mobile: Wrap in .table-wrapper and add .hide-mobile to secondary columns
  7. Dual-axis charts: Use sparingly — they invite false visual equivalence. Always label both axes clearly
  8. Narrative overreach: Don't claim correlations without computing them. "r = 0.10" is more trustworthy than "strong relationship"

Universal Data Adapter

When the user provides data from any source (CSV, JSON, SQLite, API, raw numbers), normalize it into the standard ReportData intermediate format before generating HTML. This decouples data ingestion from report rendering.

Read references/data-adapter.md for the ReportData JSON schema, field reference, and adapter instructions for each source type.

Workflow:

  1. User provides data → identify source type
  2. Transform into ReportData JSON (ask user for meta.question and desired sections)
  3. Confirm the normalized structure with the user
  4. Generate HTML from the ReportData using the block library

Composable Block Library

Reports are assembled from typed blocks, each with a defined data contract. This replaces ad-hoc HTML generation with a systematic approach.

Read references/blocks.md for the complete block catalog: sparkline-row, kpi-card, trend-chart, data-table, correlation-matrix, narrative, heatmap, strip-chart.

Each block defines:

  • Data contract (what JSON shape it expects)
  • HTML template (copy-paste ready)
  • Composition rules (how blocks pair and sequence)

Preview Server

For iterative development, use the built-in live-reload server:

python3 ~/.claude/skills/tufte-report/scripts/serve.py report.html

Serves on localhost:8042, auto-reloads on file change with scroll position preserved. Zero dependencies — Python stdlib only.

Read references/preview-server.md for details. After generating a report, offer to start the preview server for the user.

平台分布

Codex

32.1%
按下载量换算23

Claude

30.88%
按下载量换算22

Cursor

20.64%
按下载量换算15

Gemini CLI

9.25%
按下载量换算7

安全审计

Socket

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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