Make a detailed explanation PDF on thorax with charts and diagrams fro

Make a detailed explanation PDF on thorax with charts and diagrams from Frank netter medical atlas

Reading File

Finding Sources

Reading File

Finding Sources

Found Netter's Atlas of Human Anatomy (ISBN: 9780323547048). Now let me get its table of contents and search for thorax content.

Finding Sources

The Netter book only has 1 block. Let me read it to find thorax sections and also look at what other anatomy books have thorax content.

Finding Sources

Reading File

The book has 926 pages. I need to find the thorax section. Let me search through the block to find thorax-related headings by reading further into the file.

Running Command

Searching Content

"Thorax" in /textbooks/9780323547048

The block is large. Let me search through pages by reading key sections. The thorax sections are typically around pages 170-250 in Netter's Atlas. Let me scan the file at higher offsets to find thorax content.

Finding Sources

The search is showing other sections, not thorax. The Netter's Atlas block file is large - pages 1-926. I need to find where thorax sections begin. Given that Netter's Atlas organizes by body region (Head/Neck -> Thorax -> Abdomen -> etc.), let me read at different offsets to find the thorax section.

Reading File

I found the thorax section around offset 2000 (pages 333+). This is right in the lung/bronchial anatomy section. Let me now use the subagent to efficiently extract all thorax content and images, then build the PDF.

general-purpose

You are building a detailed thorax anatomy PDF from Netter's Atlas of Human Anatomy (ISBN: 9780323547048). The textbook block file is at `/textbooks/9780323547048/9780323547048_block1.md`. The thorax section starts around line/offset 1800-2000 of this file (pages ~300-450 in the book). Your tasks: 1. Read the file starting at offset 1700, reading 400 lines at a time, to find ALL thorax-related sections. Key sections to find include: - Thoracic wall / chest wall / ribs / sternum / intercostal spaces - Breast / mammary gland - Pleura and lungs - Heart and pericardium - Mediastinum - Diaphragm - Thoracic vessels (aorta, vena cava, pulmonary vessels) - Thoracic nerves (vagus, phrenic, sympathetic trunk) - Esophagus / trachea 2. For EACH section found, collect: - The heading text - The page number (from  markers) - The image URLs (all the cdn.orris.care image links, including their alt text descriptions) - Any explanatory text paragraphs present 3. Read multiple chunks (offset 1700, 2100, 2500, 2900, 3300, 3700, 4100, 4500) to cover the full thorax coverage. Stop when you reach abdominal content. 4. Return a structured JSON list of sections, each with: - section_name - page_number - images: list of {url, description} - text: any prose text Return ALL image URLs found in the thorax sections - these are the Netter diagrams that will appear in the PDF.

Reading File

Searching Content

"## " in /textbooks/9780323547048

Finding Sources

Reading File

Make a detailed explanation PDF on thorax Take the content from BDC and diagram from Frank netter

Finding Sources

BDC (BD Chaurasia's Human Anatomy) is not in the library. The library has Netter's Atlas and other anatomy books. Let me check what anatomy books are available and identify which one is best for thorax text content, then pull Netter thorax diagrams.

Finding Sources

The Color Atlas Vol 1 has "2 Trunk" section starting at line 142 which will cover thorax. Let me use the subagent to do the heavy lifting - extracting BDC-equivalent text from the anatomy books AND Netter thorax diagrams in parallel, then generate the PDF.

general-purpose

You are extracting thorax anatomy content from two medical textbooks in a library database. Your goal is to return a structured JSON with all thorax sections, their text, and image URLs. ## BOOK 1: Netter's Atlas of Human Anatomy (ISBN: 9780323547048) File: `/textbooks/9780323547048/9780323547048_block1.md` The thorax section in Netter starts around page 155-250 (file offset ~1800-2600). Read the file in chunks of 300 lines at these offsets: 1700, 2000, 2300, 2600, 2900. For each chunk, collect: - Every `## Heading` text found - Every `` page number - Every image line like `![description](https://cdn.orris.care/...)` — capture BOTH the alt text description AND the URL - Any prose/text paragraphs (non-image, non-heading lines with actual content) STOP collecting when you see abdominal content (stomach, colon, liver, kidney, etc.) appearing repeatedly. ## BOOK 2: Color Atlas of Human Anatomy Vol 1 (ISBN: 9783132424432) File: `/textbooks/9783132424432/9783132424432_block1.md` The "2 Trunk" section starts at line 142. Read from offset 142 onwards in chunks of 300 lines (offsets: 142, 442, 742, 1042) to extract thorax content including: - Thoracic wall, ribs, sternum, intercostal spaces - Pleura and lungs - Heart and pericardium - Mediastinum, vessels, nerves For each image found, capture the URL and alt text. For each section, capture all prose text. ## OUTPUT FORMAT Return a JSON object with two keys: 1. "netter_thorax": list of { "page": number, "heading": string, "images": [{"url": string, "description": string}], "text": string } 2. "color_atlas_thorax": list of { "heading": string, "images": [{"url": string, "description": string}], "text": string } Include ALL images found — these are critical for the final PDF. Return as much detail as possible.

Reading File

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