A specialized research skill for identifying and auditing non-technical business founders on LinkedIn for digital service outreach.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-lead-generation
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 linkedin-lead-generation 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 LinkedIn Lead Generation & Research?
This Openclaw Skills module enables AI agents to perform deep-dive research into LinkedIn's professional ecosystem, focusing on industries that traditionally lack modern digital infrastructure. It automates the tedious process of finding founders in sectors like Manufacturing, Real Estate, and Healthcare, then verifying their digital needs through technical audits. By synthesizing profile data and website performance metrics, the skill provides a data-driven foundation for high-conversion sales pitches, ensuring that outreach efforts are targeted toward high-value prospects who genuinely require digital transformation.
LinkedIn Lead Generation & Research Use Cases
- Identifying high-value prospects in traditional industries who need digital modernization like ERP or CRM systems.
- Automating the technical audit of prospect websites to find SEO, speed, and UI flaws.
- Generating professional, presentation-ready lead lists for agencies specializing in web development.
- Targeting specific geographic locations for localized business development and face-to-face consulting.
How LinkedIn Lead Generation & Research Works
- The agent performs a targeted LinkedIn search for decision-makers in non-tech industries using defined keywords and connection filters.
- Profiles are filtered based on strict exclusion criteria to ensure the prospect does not already have a robust internal tech team.
- The agent analyzes the company website using web_fetch to evaluate performance, mobile responsiveness, and aesthetic gaps.
- A gap analysis document is created, identifying specific technological pain points such as missing e-commerce features or outdated interfaces.
- The final output is rendered into a professional HTML-based PDF report featuring priority badges and personalized pitch ideas based on the research.
LinkedIn Lead Generation & Research Setup
To deploy this lead generation workflow, ensure the agent has access to browser and web_fetch tools. No external API keys are required beyond standard LinkedIn access.
# Ensure browser tools are active in your configuration
# The skill utilizes the internal 'write' tool for PDF generation
LinkedIn Lead Generation & Research Data Schema & Taxonomy
The skill generates a structured dataset formatted for both agent reasoning and final reporting:
| Attribute | Type | Purpose |
|---|---|---|
| Lead Information | Object | Contains Name, LinkedIn URL, and Company Name |
| Website Metrics | Object | Technical audit results for speed and mobile responsiveness |
| Identified Gaps | List | Specific business needs (e.g., No CRM, bad UI) |
| Pitch Strategy | String | Custom outreach angle based on technical findings |
| Priority | Enum | Classification of lead value (High, Medium, or Low) |
LinkedIn Lead Generation & Research Advanced Features
- Deep-link analysis of company websites to identify missing e-commerce functionalities or broken user flows.
- Automated CSS-based PDF styling to ensure lead reports have a premium, professional appearance.
- Exclusion logic to automatically filter out competitors and tech-saturated firms from the search results.
- Integration of Openclaw Skills browser tools for precise navigation and extraction from LinkedIn 2nd-degree networks.
SKILL.md
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