An AI-driven knowledge framework designed to automate the acquisition and analysis of bidding expertise, tender documentation, and industry-specific success strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tender-knowledge-framework
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tender-knowledge-framework using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Tender Analysis Assistant?
The Tender Analysis Assistant is a specialized framework designed for Openclaw Skills that focuses on the continuous acquisition and synthesis of bidding knowledge. By crawling official government procurement portals, industry-specific bidding platforms, and professional knowledge communities, this skill builds a comprehensive architecture for tender success. It moves beyond simple data retrieval by transforming raw information into actionable strategies for technical, commercial, and price-based bidding proposals.
This skill serves as a persistent learning agent that helps developers and business analysts navigate the complexities of procurement laws and evaluation criteria. It is particularly effective for high-stakes environments such as government procurement, finance, telecommunications, and large-scale infrastructure projects, where understanding subtle contract clauses and historical success patterns is critical.
Tender Analysis Assistant Use Cases
- Rapidly interpreting complex government or enterprise bidding documents to extract core requirements.
- Developing data-backed technical and commercial bidding strategies based on successful industry cases.
- Identifying hidden risks in contract clauses, such as payment terms, liability, and intellectual property disputes.
- Automating the research of competitor patterns and pricing strategies across diverse sectors like healthcare, education, and energy.
How Tender Analysis Assistant Works
- The skill actively monitors and searches official procurement websites and professional platforms for the latest tender policies and industry trends.
- It cross-verifies information from multiple sources including Zhihu, WeChat, and professional forums to ensure the depth and accuracy of the data.
- The agent categorizes insights into a six-branch knowledge framework: Bidding Stages, Strategy Formulation, Document Preparation, Contract Analysis, Case Studies, and Policy Regulations.
- It executes a structured learning cycle, generating detailed reports every four hours to update the user on new discoveries and practical bidding tips.
- The knowledge framework is dynamically updated, allowing the AI to refine its logic and provide increasingly accurate bidding advice over time.
Tender Analysis Assistant Setup
To integrate this framework into your AI agent environment, use the following commands:
# Install the Tender Analysis Skill via the CLI
openclaw install tender-knowledge-framework
# Configure the automated reporting schedule
openclaw config set schedule --times "08:00, 12:00, 16:00, 20:00"
# Initialize the localized knowledge repository
openclaw init --source tender_assistant
Tender Analysis Assistant Data Schema & Taxonomy
The skill organizes data using a hierarchical taxonomy to ensure clear metadata retrieval for Openclaw Skills agents:
| Knowledge Domain | Detailed Metadata |
|---|---|
| Bidding Stages | Announcement interpretation, qualification analysis, scoring criteria breakdown. |
| Strategy Formulation | Competitor analysis, pricing models, technical solution design. |
| Proposal Preparation | Technical, commercial, and price proposal templates and common error avoidance. |
| Contractual Analysis | Payment terms, default liabilities, dispute resolution, and IP clauses. |
| Case Repository | Success story deconstruction, failure warnings, and winning technique summaries. |
| Legal Framework | Procurement laws, bidding legislation, and industry-specific regulations. |
Tender Analysis Assistant Advanced Features
- Automated risk identification engine for detecting unfavorable contract terms and payment schedules.
- Multi-source cross-verification logic to filter out outdated or inaccurate bidding advice.
- Periodic learning synthesis that transforms raw web data into formatted Markdown reports every four hours.
- Dynamic framework expansion that allows the AI to add new sub-categories based on emerging industry trends.
- Multi-agent support for collaborative proposal drafting based on synthesized knowledge nodes.
SKILL.md
Loading
Related Openclaw Skills
Serial Novel Architect
A comprehensive framework for building, organizing, and sustaining complex long-form novels and serialized web fiction projects.
Expense Reimbursement Assistant
A sophisticated AI-driven workflow that transforms manual travel receipt management into a streamlined, automated process for document classification and PDF package generation.
Site Profile Skill
A specialized skill for investigating, configuring, and validating external website profiles for AI-driven browser agents.
PR Description Generator
An automated tool for generating professional, structured Pull Request descriptions using git diff analysis and GitHub integration.
Profile Skill
A specialized utility for converting successful website interactions into stable, reusable profiles for AI coding agents.
Content Summary Skill
An AI agent skill designed to search public content platforms, rank the most relevant items, and generate structured summaries with source links.
Featured*
