daily_stock_analysis 是做什麼的？
LLM驅動的 A/H/美股智能分析：多數據源行情 + 即時新聞 + LLM決策儀表板 + 多渠道推送，零成本定時運行，純白嫖。
LLM驅動的 A/H/美股智能分析：多數據源行情 + 即時新聞 + LLM決策儀表板 + 多渠道推送，零成本定時運行，純白嫖。
這是一個由 LLM（大型語言模型）驅動的智能股票分析技能，專為 A 股、港股和美股市場設計。該技能整合多個數據源的即時行情、新聞與技術指標，利用 LLM 進行決策分析，並透過儀表板可視化結果。它支援多渠道推送（如 Telegram、Discord 等），讓用戶零成本、定時自動運行，無需手動操作。適合開發者、散戶投資者或 AI Agent 使用者，希望能獲得高效、自動化的市場洞察與交易建議。
npx skills add ZhuLinsen/daily_stock_analysisInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
LLM驅動的 A/H/美股智能分析：多數據源行情 + 即時新聞 + LLM決策儀表板 + 多渠道推送，零成本定時運行，純白嫖。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.