Smart Bid Document Drafting Assistant
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Please install @org-mbvufw6y/smart-bid-document-drafting-assistant according to the guide at https://skillhub.cn/install/skillhub.md.
About this skill
Specific Problem Addressed
In the bidding and tendering process, drafting bid documents is a core yet inefficient task. Bid teams must manually parse each clause of tender files, sort out technical specifications, commercial requirements, and scoring criteria, then organize content, supplement historical data, and adjust professional tone to match the bidder's expectations. This process heavily relies on experience, is time-consuming and error-prone, especially when facing complex projects or tight deadlines, often missing key response points and leading to bid disqualification or low scores. The Smart Bid Document Drafting Assistant directly addresses this pain point by integrating real-time bidding data to automate information retrieval and content generation, helping users quickly build structurally complete and accurately responsive bid documents.
Core Capabilities and Key Steps
The skill's core is leveraging Shibuo Technology's 3.3 billion+ national bidding data API to achieve a closed loop from data querying to content generation. It does not generate full bid documents directly but serves as an intelligent assistant, providing data support and structural suggestions.
Core Capabilities:
- Smart Data Retrieval: Automatically calls interfaces such as searchProjectApi (for searching bid lists), getZTBStructreDetail (for structured details), and companyProfileSummary (for corporate profile analysis), covering multi-dimensional data like bid information, contract announcements, and upcoming projects.
- Content Response Organization: Parses qualification conditions, scoring methods, and procurement needs from tender files and maps them to bid document sections (e.g., technical proposals, commercial terms), using inline code like response_alignment to represent response alignment logic.
- Tone and Format Adjustment: Automatically adjusts output tone based on project type (e.g., government procurement, engineering tenders) and suggests using lists or tables to present data, ensuring professional and clear content.
Key Steps:
1. Configuration and Trigger: Users first set the environment variable BBIAO_API_KEY for API access. The skill triggers when terms like "bid drafting", "section organization", or "respond to tender requirements" are mentioned.
2. Data Query and Validation: The skill queries relevant data based on user input (e.g., keywords, regions, time ranges). If no time is specified, it defaults to the last 30 days; for trend analysis, it can extend to 90 days or 1 year, with explanations in results.
3. Content Generation and Supplementation: Based on query results, the assistant extracts fields like project names, bidders, amounts, and winning bidders, organizing them into corresponding bid document sections. Missing fields are labeled as "not disclosed in announcement" without fabrication.
4. Output and Review: The final output first provides conclusions (e.g., "suggested bid sections include..."), followed by detailed information in tables or bullet points, suitable for novice readers.
Applicable Boundaries and Important Notes
Using this skill requires clear awareness of its boundaries to avoid misuse:
- Dependency on External Data: The skill relies entirely on Shibuo Technology API's data coverage (99.99% nationwide), but certain fields like contact information (companyProfileContacts) must comply with regulatory requirements and be used only for legitimate business purposes.
- Not Fully Automated Bid Generation: It assists in organizing sections and supplementing content but does not replace manual review. Users still need to adjust the final document based on specific project needs to ensure full compliance with tender requirements.
- Error and Query Limitations:
- If BBIAO_API_KEY is not configured, the skill prompts for configuration without calling interfaces.
- If query results are empty, it's recommended to expand synonyms or time ranges, but vague queries should be validated with industry signals, and low relevance should be marked as "requires manual review".
- For insufficient API balance (error code 0100590006), it only prompts users to purchase packages without automatic payment processing or loop retries.
- Data Timeliness: Data updates daily with 300,000+ new opportunities, but historical data may be incomplete; for upcoming projects (searchNZJProjectApi), comprehensive analysis with bid information is needed.
- Output Accuracy: The assistant does not fabricate announcements, amounts, or links, but users must verify query conditions (e.g., time, region, announcement type) to ensure result relevance.
Use Cases
- A bid specialist uses the assistant to quickly query winning records for similar projects after receiving tender documents, then organizes the technical proposal section of the bid document based on the data.
- A project manager evaluates project feasibility before bidding by using the assistant to search for lists of upcoming projects and analyze potential opportunities and competitive dynamics.
- A sales manager uses the assistant to query historical winning information and partner clients of target companies to generate a corporate profile report for supporting business negotiations.
- A bidding analyst leverages the assistant to obtain statistical data on industry bidding, comparing procurement amount trends across different regions when formulating bidding strategies.
Best For
- Bid Specialist: Needs to respond to tender requirements within tight deadlines, quickly drafting and proofreading sections of bid documents.
- Project Manager: Responsible for bid project planning, requiring data to evaluate project opportunities and formulate bidding strategies.
- Business Sales Manager: Needs to understand client corporate backgrounds and industry bidding dynamics to support customer communication and opportunity mining.
- Bidding Data Analyst: Regularly processes large volumes of bidding information, needing automated tools to assist in data extraction and trend analysis.
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