An AI-driven engine that analyzes job listings to generate persuasive, customized freelance proposals for platforms like Upwork and Fiverr.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install freelance-proposal-engine
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 freelance-proposal-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Freelance Proposal Engine is a sophisticated automation tool designed to help freelancers secure more contracts by generating highly personalized project bids. By integrating with Openclaw Skills, this tool analyzes job descriptions from platforms like Upwork and Fiverr to uncover specific client pain points and technical requirements. It eliminates the need for generic, low-performing templates, replacing them with strategic, data-driven pitches that resonate with hiring managers.
This engine provides a competitive edge within the ecosystem of Openclaw Skills by automating the tedious research phase of job hunting. It allows users to input a job URL or raw text and receive a structured proposal that includes a unique hook, a detailed project approach, and market-accurate pricing suggestions. Whether you are dealing with a non-technical client or an urgent project, the engine adapts its tone and strategy to maximize your chances of success.
To get started with this tool, ensure your environment is configured to run Openclaw Skills. You can invoke the engine directly through your terminal:
# Run the engine with a direct job URL
openclaw run freelance-proposal-engine "https://www.upwork.com/jobs/example"
# Run the engine using a saved job description file
openclaw run freelance-proposal-engine ./job-description.txt
The Freelance Proposal Engine organizes its output and analysis using a structured taxonomy to ensure consistency across different platforms:
| Data Component | Description |
|---|---|
| Client Profile | Classification of the buyer (e.g., First-time, Technical, Experienced) |
| Strategic Approach | The selected communication style (e.g., Result-oriented, Educational) |
| Proposal Structure | A multi-section Markdown output including Hooks, Approach, and CTA |
| Pricing Table | A comparison of market rates based on service complexity |
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