equity-research-skill 是做什麼的？
機構級個股投研報告 Agent Skill（九章結構 + 多方法估值交叉驗證），適用於 Claude Code / Cowork / Codex 等 AI Agent 工具
機構級個股投研報告 Agent Skill（九章結構 + 多方法估值交叉驗證），適用於 Claude Code / Cowork / Codex 等 AI Agent 工具
此 Agent Skill 專為 AI 驅動的開發工具（如 Claude Code、Cowork 與 Codex）設計，可自動產生機構等級的個股投資研究報告。它採用嚴謹的九章結構，涵蓋公司概覽、產業分析、財務分析、競爭優勢、風險因素等面向，確保報告具備深度與完整性。關鍵特色在於內建多種估值模型（如 DCF、同業比較、歷史估值區間等）進行交叉驗證，避免單一方法的偏誤，提升估值的可靠性。此技能可大幅節省分析師手動蒐集資料與撰寫報告的時間，適合需要快速產出高品質投研內容的投資機構、獨立研究者或個人投資者。
npx skills add rollingSirius/equity-research-skillInstalled? 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 →
機構級個股投研報告 Agent Skill（九章結構 + 多方法估值交叉驗證），適用於 Claude Code / Cowork / Codex 等 AI Agent 工具
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.