A professional AI-driven bid writing system for end-to-end tender document preparation and quality control.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bid-document
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-document using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The bidding-writing skill is a comprehensive framework for Openclaw Skills designed to streamline the complex process of creating competitive bid documents and technical proposals. It provides a systematic methodology that allows AI agents to assist in every stage of the bidding lifecycle, from initial tender document interpretation and requirement matrix formulation to structured content generation and final compliance auditing. This skill ensures that generated documents are professional, strategically positioned, and technically rigorous.
By integrating this skill, users can leverage advanced workflows for data integration and evidence-based reasoning. The bidding-writing skill transforms scattered project data into a cohesive, high-quality bid that aligns perfectly with the scoring criteria and technical specifications defined by the client. It is an essential tool for developers looking to build sophisticated AI agents that handle high-stakes commercial documentation.
To integrate this skill into your workflow, ensure your AI agent has access to the Openclaw Skills repository. You can configure the agent to call the bidding-writing module during the document preparation phase.
# Initialize the bidding-writing skill within your agent environment
openclaw install bidding-writing
# Configure the agent to prioritize compliance checklists
openclaw configure bidding-writing --compliance-mode strict
The bidding-writing skill organizes data through several structured outputs to maintain document integrity and scoring optimization:
| Data Component | Description | Primary Format |
|---|---|---|
| Requirement Matrix | Maps specific tender chapters to response difficulty and weights | Markdown Table |
| Evidence Chain | Links technical claims to objective data and successful case studies | Unordered List |
| Document Structure | Hierarchical TOC including cover, main body, and appendices | Markdown Header Hierarchy |
| Compliance Checklist | Verification of stamps, page counts, and validity periods | Boolean Checklist |
| Strategy Map | SWOT analysis and differentiation positioning | Structured Text |
Loading
A high-performance news aggregator that fetches and summarizes the latest headlines from eight world-leading technology publications.

A privacy-first vector memory solution that uses Ollama embeddings and Qdrant local storage to provide semantic search without cloud dependencies.

A comprehensive Chinese content production suite that transforms single ideas into platform-optimized, human-like social media copy.

An intelligent dream recording and analysis tool that learns your unique subconscious language through dynamic imagery extraction.

A systematic methodology for AI agents to independently learn, verify, and transform fragmented experiences into reusable skills through a structured crystallization cycle.

A specialized skill for installing the self-improving Hermes Agent and transitioning workflows from Openclaw Skills.








































