stock-analysis 是做什麼的？
為單一股票生成全面的情緒分析報告。當使用者想要深入分析特定股票代碼（如 NVDA、TSLA 或 AAPL）時使用。
為單一股票生成全面的情緒分析報告。當使用者想要深入分析特定股票代碼（如 NVDA、TSLA 或 AAPL）時使用。
該技能針對特定公司股票（例如 NVDA、TSLA 或 AAPL）產生全面的情緒分析報告。它對於需要快速了解市場對某個資產的整體看法，而不僅僅是價格變動的開發者或交易者非常有用。該技能會提取並分析來自多個來源的數據，以衡量積極、消極或中性的情緒，幫助使用者做出更明智的決策。它支援命令列界面，並透過結構化的輸入（如股票代碼）來觸發報告生成，適合在 Claude Code 等 AI 編碼代理中運作。報告通常包含摘要統計、情緒分數以及可能影響股價的近期新聞或事件引用。
npx skills add https://github.com/alphamoemoe/foci/tree/main/skills/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 →
為單一股票生成全面的情緒分析報告。當使用者想要深入分析特定股票代碼（如 NVDA、TSLA 或 AAPL）時使用。
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.