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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnow-reading-pageExecute the skills CLI command in your project's root directory to begin installation:
Fetches now-reading-page from readwiseio/readwise-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate now-reading-page. Access via /now-reading-page in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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.
Launch a Task subagent to fetch all the data and generate the HTML file. The subagent should:
Run ALL of these in parallel:
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"]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"]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"]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"]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.
From the fetched data, build two lists:
reading_progress is between 0.05 and 0.99 (started but not finished). Sort by last_opened_at descending.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.
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:
Header: "What I'm reading" in Newsreader, light weight, large. Subtitle: "Powered by Readwise Reader" with accent-colored link.
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 effectimage field). Gradient placeholder if not (hash title → hue).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.
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:
Styling notes:
<style> tag with CSS variables1px solid var(--border))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.
open now-reading/index.htmlMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
now-reading-page is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added now-reading-page from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
now-reading-page reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend now-reading-page for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
now-reading-page is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
now-reading-page reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: now-reading-page is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for now-reading-page matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: now-reading-page is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for now-reading-page matched our evaluation — installs cleanly and behaves as described in the markdown.
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