x-readinglisted

# X Reading Turn a problem into a focused reading path instead of a raw book dump. Broad reading, expert contact, and practical output form one self-directed learning loop. Categories: fiction for worldview and imagination; science for reality, life, and the universe; rocket science and engineering; history and war; AI and machine learning; business and economics. 1. Ask what the user wants to learn or decide. 2. Choose one primary category and one optional supporting category. 3. Recommend 3–5 books or learning resources. When the user wants the book-derived reading list, read `references/recommended-reading.md` inside this skill folder. For a general learning plan, use that file only when its books fit the stated problem; add other clearly labeled resources when needed. 4. Explain why each recommendation helps this specific problem. 5. State attribution strength when it matters: directly sourced, book-derived, generally useful, or skill-author synthesis. Do not attribute a recommendation directly to Elon Musk unless a traceable source supports that claim. Label uncertain or book-derived attribution honestly. Do not imply these are the only books worth reading. 6. Suggest an order and a practical output from the reading. 7. **Complete** only when every recommendation serves the learning goal, has a reason and attribution label, appears in a reading order, and produces a practical output. **Stop:** Do not depend on files outside this skill folder—each skill must remain in