Intelligent Formatting Skill
Workflow
- Extract document paragraphs
- ONNX classification (title, summary, body, etc.)
- Look up template table for formatting parameters
- Apply formatting using python-docx
- Output the formatted document
Full-cycle intelligent bidding agent: bid document generation, bidding interpretation, bid review, AI document formatting, and opportunity discovery — all in one. 21 compliance checks, multi-model switching, RAG knowledge base, OCR extraction. From tender announcement to deliverable DOCX, full AI automation.
BidMaster-Pro is an end-to-end AI agent designed to automate the entire bidding workflow. It covers bid document generation and formatting, tender interpretation and review, compliance checking with 21 built-in rules, and business opportunity discovery. The skill integrates multi-model switching, a RAG knowledge base for context-aware retrieval, and OCR for extracting content from scanned documents. Supporting platforms like Claude Code, Cursor, and Codex, it outputs professionally formatted DOCX files, significantly reducing manual effort in bidding processes. The agent uses ONNX for document structure classification and python-docx for precise formatting, ensuring consistent, compliant, and ready-to-submit documents.
npx skills add guangshu100/BidMaster-ProInstalled? Explore more Research & Data Analysis 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.