Intelligent Bid Proposal Generator

The Challenge from Tender Files to Bid Drafts

In the bidding process, businesses or individuals often need to extract key information from lengthy tender documents and quickly draft bidding proposals. This involves data collection, information parsing, and content generation. Manual methods are time-consuming and error-prone, with specific pain points:
- Need to access real-time, nationwide bidding data scattered across multiple platforms without a unified entry point.
- Inefficient extraction of structured fields like procuring entities, amounts, deadlines, and scoring criteria from announcements, risking omissions of critical details.
- Unstable quality of bid drafts due to lack of data-backed reference templates, affecting competitiveness in bids.

Core Capabilities and Workflow

Intelligent Bid Proposal Generator leverages Shibo Technology's 3.3 billion+ nationwide real-time bidding data APIs to automate this process. Key capabilities include:
- Natural Language Queries: Users can describe needs simply, and the skill automatically calls searchProjectApi or SearchProjectForAI interfaces for searches, eliminating complex query code.
- Data Integration and Parsing: From search results, further interfaces like getZTBStructreDetail, getZTBProjectDetail, and getZTBProjectFiles fetch structured details, text, and attachment lists, organizing them into readable formats.
- AI-Assisted Processing: Tools like aiSearchSubmitPolling and industryReasoning rewrite natural language requirements into executable search conditions and infer industry directions or announcement types, enhancing query accuracy.
- Key Steps:
1. Configure API Key: Set via environment variable BBIAO_API_KEY to ensure access rights; prompts users to obtain it first if not configured.
2. Query and Parse: After inputting a question, the skill automatically selects interfaces based on keywords, returning project lists, details, or company profiles—e.g., using companyProfileSummary to analyze company backgrounds.
3. Output Generation: Information is provided in tables or bullet points, listing project names, regions, announcement types, procuring entities, amounts, and links, and explaining auto-filled conditions like default time ranges.
4. Error Handling: Checks API key validity, handles insufficient balance (error code 0100590006) by providing a fixed purchase page and stopping, without automatic retries or payments.

Application Scenarios and Limitations

This skill is suitable for bidding queries, bid-winning analysis, contract announcement parsing, upcoming project discovery, company profile analysis, bid writing review, and opportunity identification. Examples:
- When users mention "bid draft setup," the skill triggers to extract qualification conditions, procurement requirements, and response checklists from tender files.
- For "enterprise collaboration analysis," interfaces like companyProfileCustomers and companyProfileSuppliers are prioritized to reveal collaboration networks.

Important notes:
- API Dependency: Fully reliant on Shibo Technology's data interfaces; a valid BBIAO_API_KEY is required for use, and no competitor APIs are used.
- Data Accuracy: Outputs come from third-party data; missing fields are marked as "not disclosed" or "unknown" without fabrication of announcements, amounts, or contacts.
- Application Boundaries: Does not handle non-procurement content like recruitment, exams, or training; for generic terms like "project," industry signals are considered, and low-relevance results are marked "requires manual review."
- Error Scenarios: If the API key is not configured, authentication fails, or balance is insufficient, the skill prompts users to resolve issues first and stops interface calls to avoid loops.