An AI-driven prospecting engine that identifies, evaluates, and imports potential B2B buyers into your CRM based on your Ideal Customer Profile.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lead-discovery
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 lead-discovery 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 Lead Discovery?
Lead Discovery is a specialized automation tool designed for B2B export businesses looking to streamline their sales pipeline. As part of the Openclaw Skills ecosystem, it leverages advanced web searching and page reading capabilities to find companies matching specific procurement signals. By analyzing website content and trade data, it moves beyond simple contact scraping to provide deep contextual intelligence on every prospect found during the automated research process.
This skill is built to handle the heavy lifting of market research, allowing sales teams to focus on closing deals rather than searching for phone numbers. By integrating Jina Search and Reader, it performs deep-layer extraction to ensure that every lead added to your database is pre-qualified against your specific business requirements.
Lead Discovery Use Cases
- Daily automated discovery of international buyers in specific regions like Africa or the Middle East.
- Manual trigger for immediate market research when expanding into new industries or product lines.
- Automated enrichment of existing lead lists by scraping company websites for certifications and office locations.
- Identifying high-intent purchase signals from trade shows and government procurement tenders.
How Lead Discovery Works
- The skill triggers via a scheduled cron job at 10:00 AM daily or a manual user command defining a target industry.
- It executes rotating search queries using Jina Search to find procurement signals, import statistics, and company domains across global markets.
- A three-layer enrichment pipeline uses Jina Reader to extract deep company data, including size, product lines, certifications, and contact information.
- The AI calculates an Ideal Customer Profile (ICP) score (1-10) by comparing the discovered data against predefined criteria in the user configuration.
- Qualified leads (ICP 5+) are automatically synchronized with the CRM, categorized by priority, and assigned follow-up actions like email or WhatsApp outreach.
Lead Discovery Setup
To get started with this lead generation tool within the Openclaw Skills framework, ensure you have your Jina AI API key ready.
- Add your Jina API key to your environment secrets file:
# Add to .secrets/env
JINA_API_KEY=your_jina_api_key_here
- Define your target products and Ideal Customer Profile (ICP) criteria in your USER.md file to ensure accurate lead scoring.
- Enable the cron schedule for automated daily runs or trigger a manual search using the command: Search for leads in [industry].
Lead Discovery Data Schema & Taxonomy
The skill organizes data into structured enrichment profiles and CRM records using the following taxonomy:
| Data Point | Description | Metadata Tag |
|---|---|---|
| ICP Score | Numerical value (1-10) representing lead quality | score |
| Contact Info | Email, WhatsApp, and Phone numbers found on-site | contact_details |
| Research Notes | Deep-dive insights stored for later retrieval | customer_research |
| CRM Source | Identifies the lead origin as web discovery | web_discovery |
| Next Action | Recommended outreach method based on data | next_action |
Lead Discovery Advanced Features
- Multi-market rotation strategy covering Africa, Middle East, Southeast Asia, and Latin America to ensure global coverage.
- Automated duplicate detection that checks the CRM before processing to prevent redundant entries and API waste.
- Integration with Supermemory for long-term storage of research notes and competitive intelligence profiles.
- Intelligent action tagging that identifies the best outreach channel (Email vs. WhatsApp) based on the specific contact data discovered.
SKILL.md
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