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

3. 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.

4. 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