An AI-powered digital employee designed to automate the entire bidding lifecycle, from opportunity assessment and document parsing to scoring alignment, drafting, and risk review.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bid-assistant
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bid-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Bid Assistant is a comprehensive, specialized AI agent workflow designed for market, business, solution, bidding, and management teams. It automates the complex and time-sensitive bidding lifecycle, particularly for government procurement and technical service projects. By aligning closely with strict bidding regulations, Bid Assistant acts as a robust digital co-worker that improves efficiency, guarantees compliance, and eliminates common structural risks in bidding documents.
Built to integrate seamlessly into modern workspaces, this tool leverages Openclaw Skills to transform unstructured bidding documents, PDFs, and internal knowledge bases into actionable insights, rigorous scoring models, and perfectly formatted technical proposals.
To integrate the Bid Assistant skill into your Openclaw workspace, use the following CLI commands:
# Install Openclaw if you haven't already
npm install -g @openclaw/cli
# Add the Bid Assistant skill to your agent configuration
claw skill add bid-assistant
Ensure that you have configured your environment variables for document parsing engines (such as PDF OCR tools) and your LLM provider to support deep document analysis.
The Bid Assistant handles raw documents and generates structured outputs. Below is the default structured schema for project summaries and opportunity evaluations:
| Section | Description | Key Fields |
|---|---|---|
| [Processing Conclusion] | Feasibility decision support | Go / No-Go / Caution / Manual Review |
| [Project Summary] | Basic project metadata | Project Name, Purchaser, Budget, Deadline, Submission Method |
| [Qualification Conditions] | Extracted strict prerequisites | Core corporate qualifications and personnel requirements |
| [Scoring Focus] | Maximum point targets | High-value grading sections and key bonus criteria |
| [Response Structure] | Bid document architecture | Scoring Index, Compliance Map, Objective Evidence Repository |
| [Risk Warning] | Automatic disqualification hazards | Disqualification terms, deviation risks matched to source clauses |
| [Next Actions] | Task allocation framework | Priority tasks, assigned stakeholders, milestone deadlines |
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