The Knowledge Guy turns any PDF or EPUB into structured Claude Code skills, enabling complex queries across literature. This innovative tool simplifies accessing knowledge from books, helping users connect ideas seamlessly. With its efficient map-reduce pipeline, retrieving insights from vast texts becomes quick and manageable.
Overview
the-knowledge-guy is an innovative tool that transforms any PDF or EPUB document into a structured skill compatible with Claude Code. This allows users to query their entire bookshelf with a single, insightful question.
This project addresses a common issue encountered when dealing with large volumes of information found in lengthy books. By streamlining the process of converting texts into a queryable knowledge skill, users can easily extract meaningful insights without the burden of manual summaries, which often become outdated or overlook important details.
Key Features
Efficient Ingestion with /book-to-skill
- Map-Reduce Pipeline: The tool employs a sophisticated map-reduce ingestion process that converts a document into a two-tier Claude Code skill.
- Tiered Structure: The output consists of a concept map that remains constantly loaded (around 3K tokens) and on-demand access to chapter toolkits for deeper dives (about 1K tokens each). For instance, a 600-page book can be queried effectively using just a few thousand tokens, forming a practical balance between depth and accessibility.
Interactive Querying with /the-knowledge-guy
- Real-time Routing and Auto-discovery: This interactive router scans for available skills and processes queries across multiple books simultaneously, synthesizing comprehensive answers with citations directly sourced from the texts.
- Learning Mode: Users can engage with topics step-by-step, complete with quizzes and track their learning progress.
Mode-Specific Functionalities
| Mode | Description | Trigger |
|---|---|---|
| ask | Generates an essay-style answer using insights from multiple texts | Open-ended question |
| walk | Guides users through topics interactively with saved progress | walk me through <topic> |
| nutshell | Provides concise summaries of each chapter | nutshell <book> |
| library | Presents an overview of the bookshelf | library |
| compare | Analyzes concepts across various books | compare <topic> |
| cheatsheet | Creates one-page operational highlights per book | cheatsheet <book> |
| glossary | Offers term lookups either per book or across the entire library | glossary [<book>] |
| concept-map | Displays a tier-1 framework graph of a selected book | concept-map <book> |
| toolkit | Deep dives into specific chapters | toolkit <book> <chapter> |
| ingest | Integrates a PDF or EPUB into the system | add <path>.pdf |
| resume | Continues a previously interrupted session | resume |
Output Generation
Each interaction creates a self-contained HTML artifact that allows users to review and revisit the generated insights. This output not only enhances usability but also supports organized documentation through a structured catalog.
Architectural Insights
The design principles emphasize:
- Auto-discovery of skills without manual configuration.
- Two-tier structure for efficient retrieval of information.
- Python for mechanical tasks, with high-level intelligence managed by Claude.
- Parallel processing by default, enhancing query responses and educational engagement.
Limitations
While the-knowledge-guy is optimized for technical and non-fiction prose, users should note that:
- It performs best with materials of 50–500 pages in length.
- Scanned PDFs lacking OCR may not yield optimal results.
- Books dense with images will incur additional processing time and cost.
Getting Started
To initiate the process, simply run the following command for your first book:
/book-to-skill /path/to/book.pdf
This command will flow into a genre prompt and estimate costs before setting up your queryable skill.
In summary, the-knowledge-guy enhances how individuals interact with literature, offering not just answers but pathways to knowledge through structured learning and efficient queries.
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