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Linkedin Lead Generation
by
Harsh Maniya
· GitHub ↗
· v1.0.0
1627
Downloads
7
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install linkedin-lead-gen
Description
Search for, research, and verify non-tech founders on LinkedIn to identify high-value prospects for technology services (Web Dev, ERP, CRM, App Dev, SEO, AI). Generates professional PDF reports. Use when asked to find potential clients or leads.
README (SKILL.md)
LinkedIn Lead Generation & Research
This skill provides a structured workflow for identifying and verifying high-quality business leads.
Workflow
- Target Selection: Define industries that need digital transformation but aren't tech-native (e.g., Textile, Manufacturing, Real Estate, Healthcare, Energy, D2C Brands).
- LinkedIn Search:
- Use
browsertool to search LinkedIn:https://www.linkedin.com/search/results/people/?keywords=founder+CEO+[Industry]+[Location] - Filter for 2nd-degree connections for easier outreach.
- Use
- Strict Filtering:
- EXCLUDE any founder already in the IT, Software, or Digital Marketing space.
- EXCLUDE founders whose profiles indicate they already have a strong internal tech team.
- Deep Research:
- Visit each candidate's LinkedIn profile.
- Find their company website URL.
- Visit the company website using
web_fetchorbrowser.
- Gap Analysis:
- Analyze the website for: Speed, Mobile Responsiveness, SEO, E-commerce capabilities, and overall modern aesthetic.
- Identify specific needs (e.g., "No mobile app", "Outdated UI", "No CRM/ERP integration").
- Reporting:
- Compile a list of 10 qualified prospects.
- Include: Name, LinkedIn URL, Company, Website Status, Specific Needs, and a "Pitch Idea".
- Generate a professional HTML-based PDF report.
Tools to Use
- browser: For LinkedIn search and profile viewing.
- web_fetch: For quick website analysis.
- write: To create the HTML template for the PDF.
PDF Template (HTML Structure)
Use the following CSS principles for a premium feel:
- LinkedIn Blue (
#0077b5) for headers. - Clean, modern typography (sans-serif).
- Priority badges (High/Medium/Low).
- Structured grids for easy scanning.
Outreach Principles
- Personalized: Reference something specific from their profile or website.
- Problem-First: Focus on the gap identified (e.g., "Your brand is growing on social, but your website is broken").
- Local Advantage: If in the same city (Surat), emphasize face-to-face consultation.
Usage Guidance
Before installing, consider: (1) This skill browses LinkedIn and company websites — it may rely on an active browser session (cookies/login) to access some profiles; ensure you trust the agent's browser context. (2) The included Python script simply converts prospect JSON to HTML (it prints HTML to stdout) and does not contact external endpoints, but it inserts fields into HTML without escaping — if prospect data is untrusted this could lead to injected HTML/JS when rendered to PDF. Sanitize input or escape HTML before generating PDFs. (3) Scraping LinkedIn may violate LinkedIn's terms of service and raise privacy considerations — ensure your usage and outreach comply with applicable policies and laws. (4) If you plan to allow autonomous runs, review what the agent can access (browser/web_fetch) and whether you want to permit automated scraping and outreach. Overall the skill is internally consistent, but review session exposure and input sanitization before use.
Capability Analysis
Type: OpenClaw Skill
Name: linkedin-lead-gen
Version: 1.0.0
The skill bundle is designed for LinkedIn lead generation and report creation. The `SKILL.md` provides clear instructions for the AI agent to use `browser`, `web_fetch`, and `write` tools, all of which are appropriate for the stated purpose and do not contain any prompt injection attempts to deviate the agent or perform unauthorized actions. The `scripts/generate_report.py` script is a straightforward HTML generator that takes JSON input from stdin and outputs HTML, without any malicious code, external network calls, or file system operations beyond standard I/O.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md instructions, and the single helper script all align: the skill searches LinkedIn and company sites, analyzes gaps, and produces an HTML report. No unrelated credentials, binaries, or external installs are requested.
Instruction Scope
Instructions explicitly tell the agent to use the platform's browser and web_fetch tools to view LinkedIn profiles and company websites — this is within scope. Note: the workflow implicitly relies on a browser session (which may include user cookies/credentials) to view some LinkedIn pages and to filter 2nd-degree connections; the skill does not request LinkedIn credentials itself.
Install Mechanism
No install spec — instruction-only with a small local Python helper. Nothing is downloaded or written to disk by an installer.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a lead-research/reporting workflow.
Persistence & Privilege
always:false (default) and autonomous invocation enabled (platform default). This means the skill can be invoked by the agent when eligible — typical for skills. Because it uses the browser tool, consider that the agent may access an active browser session and any associated cookies or credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkedin-lead-gen - After installation, invoke the skill by name or use
/linkedin-lead-gen - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of linkedin-lead-gen skill.
- Enables search, research, and qualification of non-tech founders on LinkedIn for technology services outreach.
- Provides a step-by-step workflow: industry targeting, strict candidate filtering, deep profile and website analysis, and detailed needs assessment.
- Compiles 10 qualified leads into a structured, professional PDF report with actionable insights and pitch ideas.
- Utilizes browser and web_fetch tools for data gathering and verification.
- Includes outreach best practices focused on personalization, problem identification, and leveraging local presence.
Metadata
Frequently Asked Questions
What is Linkedin Lead Generation?
Search for, research, and verify non-tech founders on LinkedIn to identify high-value prospects for technology services (Web Dev, ERP, CRM, App Dev, SEO, AI). Generates professional PDF reports. Use when asked to find potential clients or leads. It is an AI Agent Skill for Claude Code / OpenClaw, with 1627 downloads so far.
How do I install Linkedin Lead Generation?
Run "/install linkedin-lead-gen" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Linkedin Lead Generation free?
Yes, Linkedin Lead Generation is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Linkedin Lead Generation support?
Linkedin Lead Generation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Linkedin Lead Generation?
It is built and maintained by Harsh Maniya (@harshhmaniya); the current version is v1.0.0.
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