智能排版技能
工作流程
- 提取文档段落
- ONNX 分类（标题/摘要/正文等）
- 模板查表获取格式参数
- python-docx 应用格式
- 输出排版后文档
全流程智能招投标Agent：标书生成、招投标解读、标书检查、标书文档AI排版、商机发现一键完成。21项合规检查、多模型切换、RAG知识库、OCR抽取。从招标公告到可交付docx文档，全流程AI自动化。
BidMaster-Pro 是一个面向招投标场景的全流程 AI Agent 技能，由 guangshu100 开发。它支持从招标公告解析、标书生成、合规检查到最终 docx 文档输出的完整自动化流程。该技能集成了 21 项合规检查规则、多模型切换（如 GPT、Claude 等）、基于 RAG 的知识库以及 OCR 抽取能力，确保标书内容准确且格式规范。针对标书排版，它采用 ONNX 分类模型对文档段落（标题、摘要、正文等）进行分类，再通过模板查表获取格式参数，最后用 python-docx 库应用格式并输出排版后的文档。适用于 Claude Code、Cursor 等支持自定义技能的 AI 编程平台，能显著提升招投标文档的处理效率和质量。
npx skills add guangshu100/BidMaster-ProInstalled? Explore more 研究＆データ分析 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.