A CLI-driven B2B lead generation pipeline that converts free-text ICPs into scored and deduplicated lead lists.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lead-gen-factory
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-gen-factory 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 lgf?
The lgf (Lead Gen Factory) skill for Openclaw Skills provides a robust CLI pipeline for B2B prospecting and market research. By combining real-time web search with LLM-driven extraction, it allows users to find decision-makers and companies that match highly specific criteria. Whether you are targeting HR Directors at Spanish SaaS companies or CTOs at fintech startups, this tool simplifies the discovery process within the ecosystem of Openclaw Skills.\n\nBuilt for efficiency, lgf automates the search, crawl, and scoring phases of lead generation. It delivers high-fidelity data that includes contact information, LinkedIn profiles, and a detailed fit-score reasoning, making it an essential asset for any sales or marketing automation workflow utilizing Openclaw Skills.
lgf Use Cases
- Identifying decision-makers based on job titles and company size.\n- Prospecting within specific geographic regions or niche industries.\n- Researching companies based on active hiring signals or technology stacks.\n- Generating structured lead data for CRM ingestion or outreach campaigns using Openclaw Skills.\n- Validating ICP fit for existing company lists.
How lgf Works
- Input an ICP as free-text or a markdown file through the CLI.\n2. The skill executes a high-precision search via Tavily to locate relevant companies and personnel.\n3. Raw web data is processed by OpenRouter to extract specific lead details and metadata.\n4. Leads are scored on a 1-10 scale based on their alignment with the provided ICP requirements.\n5. The final data is deduplicated and exported as both CSV and structured JSON for use in Openclaw Skills automation.
lgf Setup
To install the lgf skill for Openclaw Skills, ensure you have Python 3.12+ installed.\n\nbash\n# Install via pipx for an isolated environment\npipx install git+https://github.com/Catafal/lead-gen-factory.git\n\n# Initialize the configuration\nlgf init\n\n# Run a health check to verify API connectivity\nlgf doctor\n\n\nYou must provide your TAVILY_API_KEY and OPENROUTER_API_KEY in the ~/.lgf/.env configuration file.
lgf Data Schema & Taxonomy
The lgf skill generates structured data optimized for Openclaw Skills in the following format:\n\n| Field | Description |\n| :--- | :--- |\n| business | The name of the target company |\n| first / last | The lead's first and last name |\n| email | Verified or identified email address |\n| linkedin | URL to the lead's professional profile |\n| icp_fit_score | Numerical score (1-10) indicating profile match |\n| icp_fit_reason | LLM-generated explanation for the assigned score |\n| source_url | The primary source where the lead information was found |
lgf Advanced Features
- Structured JSON output mode for seamless integration with other Openclaw Skills and autonomous agents.\n- Dry-run capability to preview search queries and optimize ICPs without consuming API credits.\n- Minimum score filtering to ensure only the highest-quality leads reach your final list.\n- Named profile support for managing and switching between multiple target audiences easily.\n- Detailed configuration management via the CLI to mask API keys and update settings.
SKILL.md
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