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

Name: Linkedin Lead Generation
Author: harshhmaniya

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 browser tool to search LinkedIn: https://www.linkedin.com/search/results/people/?keywords=founder+CEO+[Industry]+[Location]
- Filter for 2nd-degree connections for easier outreach.
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_fetch or browser.
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- Identify specific needs (e.g., "No mobile app", "Outdated UI", "No CRM/ERP integration").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

This skill appears to do what it says, but note three practical issues before installing: (1) The bundled script only generates HTML from JSON — there is no PDF conversion step included, so you’ll need a PDF renderer or a platform 'write/print' capability to produce PDFs. (2) The Python script has a minor bug: it only runs the generator when len(sys.argv) > 1 but then reads from stdin; this looks like a CLI logic error and may require fixing. (3) The workflow assumes the agent's browser/web_fetch can access LinkedIn profiles (often requiring login) — the skill does not request or store LinkedIn credentials, and scraping LinkedIn may violate their terms and raise privacy/consent concerns. If you plan to use this on real user data, confirm you have lawful access and consider adding an explicit, proportional authentication mechanism and a PDF generation step, or fix the script’s CLI logic.

Capability Analysis

Type: OpenClaw Skill Name: linkedin-lead-generation Version: 1.0.0 The skill bundle is designed for LinkedIn lead generation, which is a benign purpose. However, the `scripts/generate_report.py` file contains a critical Cross-Site Scripting (XSS) vulnerability. It directly embeds unsanitized user-controlled data (e.g., prospect names, positions, needs, pitch ideas) from a JSON input into the generated HTML report using f-strings. This allows for arbitrary HTML and JavaScript injection if an attacker can manipulate the input data, potentially leading to client-side attacks when the HTML is rendered or converted to PDF.

Capability Assessment

ℹ Purpose & Capability

Name and description match the instructions and bundled script: the SKILL.md describes searching LinkedIn, researching websites, doing gap analysis, and producing a prospect report. The included Python script produces an HTML report from JSON prospect data, which aligns with 'report generation' — however the skill claims to 'generate professional PDF reports' but provides no PDF conversion step or tool (e.g., wkhtmltopdf, headless Chrome print-to-pdf). Also LinkedIn access often requires authentication but the skill does not request credentials; it appears to assume the agent's browser tool has access.

✓ Instruction Scope

The SKILL.md directs the agent to use browser and web_fetch to view LinkedIn profiles and company websites and to produce a report — these actions are within the stated purpose. The instructions do not ask the agent to read unrelated local files or environment variables, nor do they forward data to unknown external endpoints. Note: scraping/profile inspection may implicate LinkedIn terms of service and privacy considerations.

✓ Install Mechanism

No install spec is included (instruction-only), so nothing is downloaded or written during install. The only code file is a small Python script that builds HTML from JSON; it does not perform network I/O or introduce hidden endpoints. The absence of a PDF converter is an implementation gap, not an installation risk.

ℹ Credentials

The skill requests no environment variables or credentials, which is proportionate for the provided files. Practical caveat: performing LinkedIn searches and viewing 2nd-degree profiles may require an authenticated browser session; the skill does not declare or request LinkedIn credentials, so it relies on the agent environment to already have access. No unrelated secrets are requested.

✓ Persistence & Privilege

The skill does not request permanent inclusion (always: false) and has no install actions that modify other skills or system-wide settings. It does not request elevated or persistent privileges.

Version History

v1.0.0

Initial release of linkedin-lead-gen. - Provides a structured workflow to identify and verify non-tech founders as high-value prospects on LinkedIn. - Outlines step-by-step process for target selection, strict filtering, deep research, and gap analysis. - Includes criteria for filtering out tech founders and those with strong internal tech teams. - Specifies tools to use (browser, web_fetch, write) for LinkedIn searches, website analysis, and PDF generation. - Details a professional, branded PDF report structure to present 10 qualified leads and tailored pitch ideas. - Highlights outreach principles focusing on personalization, problem-first approach, and local advantage.

Metadata

Slug linkedin-lead-generation

Version 1.0.0

License —

All-time Installs 1

Active Installs 1

Total Versions 1

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 2817 downloads so far.

How do I install Linkedin Lead Generation?

Run "/install linkedin-lead-generation" 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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Linkedin Lead Generation