A new reading method is gaining attention, where Kindle highlights—previously difficult to access due to technical restrictions—are extracted via Claude Code skills and utilized as a personal AI knowledge assistant.
Imagine this: The content of a book you read a few years ago suddenly comes to mind, but you can’t remember where you wrote it down. Every avid reader has likely experienced the frustration of scouring their Kindle highlights, only to find they are blocked by export restrictions or impossible to locate.
For us, books are storehouses of knowledge, yet opening those doors has never been easy. However, new skills for Claude Code (a conversational tool for AI development) are emerging that allow us to unlock these “closed doors.”
Why Does This Matter?
More important than reading a lot of books is “knowledge retention”—the ability to internalize what you have read. What if you could gather all the insights from every book you’ve read over the years and ask an AI about them? You could possess a personal knowledge assistant capable of answering questions like, “What strategies were commonly emphasized in the marketing books I’ve read over the last three years?” This is a shift that elevates the value of reading from merely acquiring information to utilizing your own unique body of knowledge.
In Simple Terms
Kindle reading records may appear to be simple text, but they are actually locked behind complex “digital locks.” Kindle’s proprietary file formats, .azw and .kfx, are encrypted, meaning Claude Code cannot directly open the files to parse their contents (Source: TextMuncher).
To solve this, developers have created skills that function like “key duplication.” Specific Claude Code skills control browser sessions logged into a user’s Kindle account, or access files stored internally by the Kindle app for Mac to extract data (Source: GitHub - l3a0/claude-plugins).
In some cases, the Kindle Cloud Reader (a service for reading Kindle books in a web browser) displays pages as images rather than text. Metaphorically speaking, you aren’t reading the book as text; you are viewing it as if taking pictures. In such instances, Optical Character Recognition (OCR)—technology that reads characters within images—is used to recover the data (Source: Hacker News). It is similar to scanning a blurred paper document and converting it into a machine-readable format.
Where Are We Now?
Currently, many readers want to leverage their reading notes but frequently run into technical barriers. Specifically, clipping limits (the amount of text one can highlight) set by publishers, personal documents that Amazon does not sync, and the fact that highlights are often stored in a fragmented manner across multiple devices are typical causes for export failure (Source: TextMuncher).
However, as technology advances, users are now building workflows that export their highlights into plain text files and pass them to Claude Code to use as knowledge management partners (Source: daily.dev). Claude Code’s “skills” automate this process, and experiments connecting personal reading libraries to AI without complex coding knowledge are actively underway (Source: DeepRead).
What’s Next?
In the future, moving beyond simply extracting highlights, AI will be able to compare the philosophies of authors based on the user’s entire reading history or engage in deep discussions on specific topics, acting as an “intellectual sparring partner.”
The sight of fragmented reading records being integrated into one vast knowledge network through the assistance of AI will completely transform how we retain knowledge. What we need now is a small spark of curiosity to go beyond the effort of reading a book and to manage those records alongside AI.
AI Opinion
The value of reading lies not in the moment of finishing a book, but in how you connect its contents to your life. If AI can act as a partner in exploring your vast reading data, we can move beyond simple reading toward “reading that thinks.”
References
- GitHub - l3a0/claude-plugins
- Hacker News - A Claude Code skill that recovers export-blocked Kindle highlights
- TextMuncher - Use Kindle Books with Claude AI (2026)
- TextMuncher - Export Kindle Highlights & Notes: 4 Free Ways (2026)
- daily.dev - I paired Claude with my Kindle and finally retained what I read
- DeepRead - Claude Code + Kindle Highlights: How I’m Teaching an LLM to Navigate My Library
- Clipping limits set by publishers
- Restrictions on syncing personal documents
- Low battery on reading device
- Because the files are encrypted
- Because the files are too large
- Because Claude Code is an offline app
- Speech-to-Text (STT)
- Optical Character Recognition (OCR)
- Automatic Translation