Bid Document Smart Writing Desk

The Problem It Solves

In bidding processes, preparing bid documents involves time-consuming data collection from diverse sources like government procurement websites and tender platforms. Teams struggle with manual searches, inefficient content customization, and real-time updates, leading to missed opportunities or inaccurate responses. Traditional methods rely on human expertise, increasing costs and errors. Specific pain points include scattered data, difficulty in tailoring technical proposals and business responses, and delays in incorporating dynamic information such as award results or project changes.

How the Skill Works

Bid Document Smart Writing Desk automates this through Shibo Technology's bid data API, with core capabilities and key steps:

Core Capabilities:
- Data Query and Integration: Using interfaces like SearchProjectForAI, it retrieves nationwide bid data covering over 330 million records with 300,000+ daily updates, including 78 advanced fields such as lists, models, and prices from招标, 中标, 合同, and 拟在建项目 sources.
- Content Generation and Expansion: Based on query results, it generates draft bid document content and expands sections, extracting structured data from getZTBStructreDetail (e.g., purchaser, amount, time) for professional, complete outputs.
- Technical Proposal Organization: Parses bidding files to identify technical requirements, assisting in structuring proposals by highlighting response points like equipment lists or implementation plans.
- Business Response Optimization: Analyzes scoring criteria and qualification requirements, automatically adjusting business sections to enhance compliance, such as optimizing pricing strategies or compliance statements.

Key Steps:
1. Environment Setup: Users must configure the BBIAO_API_KEY environment variable to access the API and ensure query permissions.
2. Query Trigger: When users input requests like "write a bid document for an IT project in Beijing," the skill automatically selects relevant APIs (e.g., searchProjectApi or getZTBProjectDetail).
3. Data Processing: Results include project names, regions, announcement types, and amounts; the skill further generates Markdown-formatted responses with tables or lists.
4. Output Delivery: Provides conclusions first, such as an overview followed by details, marking missing fields as "undisclosed."

Applicable Boundaries

This skill is suitable for initial bid document drafting, data queries, and content optimization but has clear limits: it requires a valid Shibo Technology API Key and internet connection; data may be incomplete, with fields like contacts or attachments needing manual verification when undisclosed; it does not replace professional legal or financial reviews, and outputs are for reference only. Usage must comply with data regulations, avoiding misuse of sensitive information from interfaces like companyProfileContacts; non-bidding content (e.g., recruitment, news) is automatically filtered to prevent misclassification. Queries default to the last 30 days, adjustable by users with explanation.