智能排版技能
工作流程
- 提取文件段落
- ONNX 分類（標題/摘要/正文等）
- 模板查表取得格式參數
- python-docx 套用格式
- 輸出排版後文件
全流程智能招標投標代理：標書產生 · 招標投標解讀 · 標書檢查 · 標書文件 AI 排版 · 商機發現，一鍵完成。支援 21 項合規檢查、多模型切換、RAG 知識庫與 OCR 擷取，從招標公告到可交付 docx 文件，全流程 AI 自動化。
BidMaster-Pro 是一個專為招標投標流程設計的全端 AI 代理技能，支援標書產生、招標文件解讀、合規檢查、AI 排版與商機發現等子技能。其核心工作流程從提取文件段落開始，接著使用 ONNX 模型進行分類（區分標題、摘要、正文等區塊），再透過模板查表取得對應的格式參數，最後以 python-docx 套用格式並輸出排版後的 docx 文件。此技能適用於 Claude Code、Cursor 等 AI 編碼代理，並整合 RAG 知識庫與 OCR 功能，可處理多種文件格式。開發者可直接透過代理呼叫相關技能，實現從原始招標公告到最終可交付文件的全流程自動化，大幅減少人工校對與排版時間。
npx skills add guangshu100/BidMaster-ProInstalled? 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 →
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.