surprise-me

Analyze Readwise and Reader reading history to surface one cited insight.

Updated May 18, 2018
One-click install
npx skills add https://github.com/812lcl/dotfiles --skill surprise-me-812lcl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: surprise-me
Source: https://github.com/812lcl/dotfiles/tree/main/.agents/skills/surprise-me
Command: npx skills add https://github.com/812lcl/dotfiles --skill surprise-me-812lcl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you understand yourself better by analyzing your reading data to surface a single, surprising insight about your reading habits and thinking patterns.

Core Features & Use Cases

  • Data aggregation: Collects highlights, saved documents, tags, and reading progress from Readwise/Reader.
  • Insight generation: Analyzes patterns, obsessions, contradictions, and evolving interests to reveal a meaningful, concrete takeaway.
  • Evidence-backed delivery: Provides a single surprising insight with supporting quotes and references to relevant documents.

Quick Start

Analyze my Readwise and Reader data to surface one surprising insight about my reading and provide supporting evidence.

Frequently Asked Questions about surprise-me

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Readwise highlights to find patterns in my reading habits?

To analyze Readwise highlights for reading patterns, you can use data aggregation tools that process your saved documents, tags, and reading progress to surface a single, surprising insight about your evolving interests and thinking habits.

Can I surface reading insights from my Readwise Reader documents and tags?

Yes, you can surface reading insights from Readwise Reader documents and tags by applying data analytics to identify obsessions, contradictions, and evolving interests, grounding the final takeaway with cited highlights and relevant document references.

What is the best way to identify evolving interests and blind spots from my reading history?

Identifying evolving interests and blind spots from reading history requires analyzing aggregated highlight data and saving progress to detect unexpected patterns, delivering one concrete, evidence-backed takeaway about your reading habits.

Does analyzing reading data for surprising insights require special setup beyond Readwise access?

Analyzing reading data for surprising insights requires data access from Readwise or CLI equivalents to collect your highlights and documents, but needs no additional special setup or external dependencies to generate the grounded insight.

How do I get evidence-backed takeaways from my Readwise saving history?

You get evidence-backed takeaways from your Readwise saving history by analyzing the aggregated data to identify a meaningful pattern, which outputs a single surprising insight supported by direct quotes and references to relevant documents.