An intelligent automation skill for Upwork freelancers to discover high-value jobs and generate high-converting proposals automatically.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install upwork-seller
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 upwork-seller 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 Upwork Seller?
The Upwork Seller skill for Openclaw Skills is a specialized tool designed to handle the time-consuming aspects of freelance lead generation. It automates the process of scanning the marketplace for relevant jobs, filtering them based on budget and client reputation, and drafting tailored proposals that address specific client needs. By synthesizing project requirements with your unique strengths, it helps freelancers maintain a professional and consistent presence on the platform.
This skill is built for those looking to scale their monthly revenue by optimizing their bidding strategy. It focuses on the technical truth of the Upwork marketplace, prioritizing quality over quantity to ensure that every automated application remains compliant with platform standards while maximizing the chance of a successful contract award.
Upwork Seller Use Cases
- Automating the discovery of high-budget Python or Web Scraping projects.
- Filtering out low-quality clients with poor feedback or unrealistic budget expectations.
- Rapidly generating technical proposals that reference specific portfolio achievements.
- Batch applying to multiple relevant job postings during peak client activity hours.
- Monitoring application success rates to refine proposal messaging through A/B testing.
How Upwork Seller Works
- The skill initiates a scan of the Upwork marketplace using specific keyword queries and advanced filters.
- It evaluates job postings against pre-defined criteria such as client rating, payment verification, and proposal count.
- For selected jobs, it performs a deep analysis of the description to identify key requirements and pain points.
- It generates a structured proposal using a proven framework: Hook, Evidence of Success, Technical Approach, and Call to Action.
- The skill records the application data, allowing for performance tracking and strategic adjustments over time.
Upwork Seller Setup
To get started with this skill within the Openclaw Skills ecosystem, configure your search parameters and portfolio data.
# Install the skill dependencies
npm install @openclaw/upwork-seller
# Configure your search filters
openclaw config set upwork_min_budget 500
openclaw config set upwork_min_client_rating 4.5
Ensure you have your Upwork credentials and API access (where applicable) configured in your environment variables.
Upwork Seller Data Schema & Taxonomy
The skill organizes its operations through a structured data model to ensure consistency across applications:
| Attribute | Type | Description |
|---|---|---|
| job_id | String | Unique identifier for the Upwork posting |
| client_score | Float | Client's historical rating (0-5) |
| proposal_text | Markdown | The generated custom cover letter |
| match_confidence | Percentage | How well your skills align with the job requirements |
| tracking_status | Enum | Status of the application: Draft, Sent, Interview, or Closed |
Upwork Seller Advanced Features
- Intelligent filtering for jobs with less than 20 proposals to increase visibility.
- Automated portfolio selection that matches the specific technology stack of the job post.
- Response monitoring to notify you the moment a client replies to your proposal.
- Time-zone optimization to ensure applications are sent within 2 hours of a job being posted.
- Support for custom hooks that reference the client's name or specific past project feedback.
SKILL.md
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