Technical Bid Document Auto-Generator
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About this skill
The Problem It Solves
In the bidding process, creating technical bid documents is a critical yet tedious task. Evaluators score documents based on detailed criteria and formatting requirements; any deviation can lead to point deductions or disqualification. Manually writing technical bids is time-consuming and error-prone, often resulting in missing content, inconsistent formatting, or non-compliant word counts, which affects the team's overall bidding efficiency.
How It Works
This tool automates the generation of compliant technical bid Word documents, streamlining the workflow for engineers. Core capabilities include:
- Parsing Tender Files: Using the
parse_bid_files.pyscript, it supports txt, pdf, docx, xlsx formats to extract scoring standards and procurement requirements automatically. - Content Generation: Generates structured Markdown content from parsed data, ensuring each subsection (e.g.,
### X.X.X) contains at least 3 independent paragraphs and incorporates tables where possible to avoid text-heavy sections. - Word Count Check: Calculates the eligible range with the formula
target words = score value × (total pages ÷ total score) × 780, verified via thecheck_chapter_words.pyscript; non-compliant sections trigger rewriting. - Format Conversion: Converts Markdown to Word using
convert_to_word.py, with customizable parameters (e.g., fontSimSun, size16pt, line spacing26pt), and fixes document metadata. - Chapter Merging: The
merge_chapters.pyscript ensures blank line separation between chapters and consistent numbering in Chinese numerals (e.g., 「一、二、三」).
Key steps:
1. Submit the tender document to the tool.
2. The tool automatically parses the file and generates a draft.
3. Run the word count check script to validate each chapter's compliance.
4. Adjust content based on feedback, such as adding tables or modifying terminology (avoiding "our side" and using "project team").
5. Generate the final Word document to a specified path, with the filename format {project_name}_技术标_{date}.docx.
Boundaries and Considerations
- Font Dependency: The
SimSun.ttf(宋体) font must be installed; otherwise, Word document formatting may break. - Content Review: Generated content requires manual verification to ensure strict alignment with scoring criteria, avoiding generic statements or budget descriptions.
- Prohibitions: Technical bids must not include any financial details; chapters should end without summary sections like "本章小结".
- Output Path: Defaults to
/Users/owen/Desktop/{project_name}/, so users must create the project directory beforehand.
This tool is ideal for teams with frequent bidding needs but is not a fully autonomous solution—engineer involvement in content adjustment and final confirmation remains necessary to ensure accuracy and compliance.
Use Cases
- After receiving tender documents, quickly generate a structured and formatted technical bid Word document based on scoring standards to meet tight bidding deadlines.
- Convert existing Markdown draft technical bid into a Word document compliant with government bid templates, including font, line spacing, and margin adjustments.
- During team collaboration, check if each chapter's word count meets the eligible range and automatically merge chapters to unify Chinese numbering format.
- For multiple similar bidding projects, reuse format templates to batch-generate technical bid documents, avoiding manual format adjustments.
Best For
- Business engineers responsible for writing bid documents need to efficiently generate compliant technical bid sections while avoiding manual formatting errors.
- Project managers coordinating bidding work need to ensure uniform formatting and coherent chapters across multiple technical bid documents, with timely word count checks.
- Content editors in bidding teams need to automatically parse tender files to extract key requirements and generate structured content aligned with procurement needs.
- Bid specialists for government or large projects need to handle strictly formatted bid documents and quickly adapt templates to different project parameters.
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