quant-analyst 是做什麼的？
專精於量化金融、演算法交易及金融數據分析，使用 Python（Pandas/NumPy）、統計建模與機器學習。
專注於量化金融、演算法交易及金融數據分析，使用 Python（Pandas/NumPy）、統計建模與機器學習。
此技能專為從事量化金融、演算法交易與金融數據分析的開發者或 AI 代理設計。它整合了 Python 生態系統中的 Pandas 與 NumPy 等關鍵資料處理工具，並結合統計建模與機器學習技術，協助用戶建立、回測與最佳化交易策略。此技能支援多種開發平台（如 Claude Code、Cursor 或 Codex），並依據其 SKILL.md 文件提供詳細使用指引。透過這項技能，用戶可以高效處理金融時間序列數據、執行統計推論與風險分析，並將預測模型整合至實際交易流程中，從而提升策略開發的準確性與效率。
npx skills add https://github.com/404kidwiz/claude-supercode-skills/tree/main/skills/quant-analystInstalled? 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 →
專精於量化金融、演算法交易及金融數據分析，使用 Python（Pandas/NumPy）、統計建模與機器學習。
This repo contains 2 individual skills — each has its own dedicated page.
A designer-turned-developer who crafts stunning UI/UX even without design mockups. Code may be a bit messy, but the visual output is always fire.
Project management expert specializing in planning, execution, monitoring, and closure of projects. Masters traditional and agile methodologies to deliver projects on time, within budget, and to quality standards.
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.