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Agent Skill

now-reading-page 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。

总安装

5,856

周安装

249

GitHub Stars

201

下载量

2,052
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:now-reading-page(正在阅读页面)
来源仓库:https://github.com/readwiseio/readwise-skills
仓库路径:skills/now-reading-page
安装命令:
npx skills add https://github.com/readwiseio/readwise-skills --skill now-reading-page
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/readwiseio/readwise-skills --skill now-reading-page

简介

用于处理 GitHub 仓库和代码协作信息。now-reading-page 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

  • 适合整理 Issue、Pull Request 和仓库状态。
  • 可结合原始 README 核验具体功能细节。
  • 安装前建议确认是否会触发文件读写或外部调用。
  • 注意维护状态和权限范围,避免误操作生产环境。

SKILL.md

You are generating a beautiful standalone HTML page showing what the user is currently reading and has recently read. The output is a single HTML file they can open in a browser or host on their personal site.

Readwise Access

Check if Readwise MCP tools are available (e.g. mcp__readwise__reader_list_documents). If they are, use them throughout (and pass this context to the subagent). If not, use the equivalent readwise CLI commands instead (e.g. readwise list, readwise read <id>). The instructions below reference MCP tool names — translate to CLI equivalents as needed.

Process

Launch a Task subagent to fetch all the data and generate the HTML file. The subagent should:

1. Fetch Data

Run ALL of these in parallel:

  • Shortlist: mcp__readwise__reader_list_documents with location="shortlist", limit=50, response_fields=["title", "author", "category", "reading_progress", "first_opened_at", "last_opened_at", "image", "url", "site_name", "word_count", "saved_at"]
  • Later: mcp__readwise__reader_list_documents with location="later", limit=50, response_fields=["title", "author", "category", "reading_progress", "first_opened_at", "last_opened_at", "image", "url", "site_name", "word_count", "saved_at"]
  • Inbox: mcp__readwise__reader_list_documents with location="new", limit=50, response_fields=["title", "author", "category", "reading_progress", "first_opened_at", "last_opened_at", "image", "url", "site_name", "word_count", "saved_at"]
  • Archive page 1: mcp__readwise__reader_list_documents with location="archive", limit=50, response_fields=["title", "author", "category", "reading_progress", "last_opened_at", "image", "url", "site_name", "saved_at", "word_count"]

2. Paginate Archive Deeply

After the first archive fetch, use nextPageCursor to keep fetching more pages (limit=50 each). Fetch at least 6 more pages (~350 total docs) so the heatmap covers 6 months of reading activity. Keep paginating until the oldest last_opened_at is 6+ months ago OR pages are exhausted.

3. Categorize

From the fetched data, build two lists:

  • Currently Reading: Items from shortlist, later, or inbox where reading_progress is between 0.05 and 0.99 (started but not finished). Sort by last_opened_at descending.
  • Recently Read: Items from archive where reading_progress > 0.9 (actually finished). Sort by last_opened_at descending. Group by month. Show as many months as the data covers.

Also collect ALL last_opened_at dates from archive items with reading_progress > 0.9 for the heatmap.

There is no "Up Next" section. Only show things the user is reading or has read.

4. Generate HTML

Create a now-reading/ directory in the current working directory (if it doesn't exist) and write the HTML file to now-reading/index.html.

Design direction: Warm, sepia-toned, editorial. Think personal reading log, not media dashboard.

Fonts: Google Fonts — Newsreader (serif, for headings) + DM Sans (sans, for body). Include via <link> tag.

Color palette (CSS variables):

--bg: #f6f1eb          (warm parchment background)
--surface: #ede6dc     (card/heatmap empty cell background)
--surface-hover: #e4dbd0
--border: #d9d0c4
--text: #4a4239        (main body text)
--text-muted: #8a7e72
--text-dim: #b0a597
--heading: #2c251e
--accent: #a0724a      (warm brown — progress bars, active states)
--accent-dim: rgba(160, 114, 74, 0.12)

Layout: Max-width 760px, centered. Responsive.

Sections in order:

  1. Header: "What I'm reading" in Newsreader, light weight, large. Subtitle: "Powered by Readwise Reader" with accent-colored link.
  2. Currently Reading — section label in small caps. Gallery of cards using CSS grid (repeat(auto-fill, minmax(160px, 1fr))) so they fill the container. Each card:

- aspect-ratio: 3/2, rounded corners, hover lift effect - Cover image if available (image field). Gradient placeholder if not (hash title → hue). - Dark gradient overlay at bottom with white title + author - Progress bar at card bottom: 5px tall track (dark semi-transparent) with accent-colored fill - Cards link to the Reader URL

  1. Reading Activity — GitHub-style heatmap filling full container width. Use CSS flex with flex: 1 on weeks and cells so it stretches. Warm amber color scale (rgba(160, 114, 74, 0.2/0.4/0.65/1.0)). Month labels above, day-of-week labels (Mon/Wed/Fri) on left. Show 6 months.
  2. Recently Read — Category filter pills (All, Articles, Books, Tweets, RSS, Email) with JS toggle. Then entries grouped by month (e.g., "FEBRUARY 2026" in small caps). Each entry as a row:

- Date on left (tabular nums, muted) - Category emoji (📄 article, 📚 book, 🐦 tweet, 📰 rss, ✉️ email, 🎬 video, 🎙 podcast, 📑 pdf) - Title (linked, medium weight) + author/source (dim, smaller)

Styling notes:

  • All CSS in a <style> tag with CSS variables
  • Subtle page-load fade-up animation on sections
  • Divider lines between sections (1px solid var(--border))
  • Responsive: 2-column card grid on mobile

5. Return

Return the absolute path to the generated HTML file and a summary: how many currently reading, how many recently read, date range of activity data.

After Subagent Returns

  1. Tell the user the file was generated and where it is
  2. Offer to open it in their browser: open now-reading/index.html
  3. Ask if they want to adjust anything

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.81%
按下载量换算735

Claude

31.46%
按下载量换算646

Cursor

20.95%
按下载量换算430

Gemini CLI

9.54%
按下载量换算196

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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