Lead Researcher for Openclaw

An automated lead generation tool that identifies companies by pain point, enriches contact data, and drafts personalized outreach.

rjrileybuisness-ai
v1.0.0
Feb 11, 2026
2
3.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install lead-researcher

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install lead-researcher 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 Researcher?

The Lead Researcher skill for Openclaw Skills is a high-performance automation engine designed for B2B sales teams and marketing professionals. It eliminates the manual drudgery of prospecting by scanning social platforms and the web for high-intent signals, such as companies mentioning specific operational pain points or growth milestones. This skill is a core component of the Openclaw Skills ecosystem for those looking to scale their outbound efforts without increasing headcount.

By leveraging the Lead Researcher, users can move beyond static lists to dynamic, intent-based lead generation. The skill doesn't just scrape data; it analyzes context to ensure that every lead surfaced is relevant to your specific value proposition. Whether you are searching for companies hiring for specific roles or brands complaining about service issues, this tool provides the intelligence needed to initiate meaningful conversations.

Lead Researcher Use Cases

  • Marketing agencies identifying businesses struggling with specific digital challenges.
  • SaaS growth teams building outbound prospect lists based on hiring signals and tech stack changes.
  • Independent consultants looking for companies mentioning specific pain points on social media.
  • Freelance professionals needing high-quality, pre-vetted leads for personalized pitching.

How Lead Researcher Works

  1. Search: The skill monitors social media and the web for company profiles and posts mentioning target keywords or pain points.
  2. Enrich: It automatically extracts critical data points including company names, decision-maker roles, and contact information.
  3. Score: Leads are ranked using an internal algorithm that weighs the urgency of the problem against your defined ideal customer profile.
  4. Outreach: The skill generates a personalized outreach draft for every lead, referencing the specific source and pain point discovered.

Lead Researcher Setup

To deploy Lead Researcher within your Openclaw Skills environment, ensure you have a search API (such as Brave) configured. You can initiate research tasks directly from your CLI:

# Find and enrich 10 e-commerce leads
openclaw run lead-researcher --industry "e-commerce" --pain_point "cart abandonment" --count 10

For enhanced results, optional enrichment via LinkedIn or Apollo can be enabled in your configuration settings.

Lead Researcher Data Schema & Taxonomy

The Lead Researcher skill produces a structured JSON object containing a list of enriched leads. This data can be easily exported to CRMs or used by other Openclaw Skills for further automation.

Field Type Description
company String The legal or trade name of the prospect company.
contact String The name and job title of the identified decision maker.
email String The primary contact email address.
painPoint String The specific issue or trigger identified during research.
source String The URL or social media platform where the lead was found.
outreachMessage String A generated draft tailored to the lead's specific context.
score Integer A lead quality score from 0 to 100.

Lead Researcher Advanced Features

  • Multi-channel monitoring across LinkedIn, Twitter, Reddit, and the broader web.
  • Intent-based lead scoring to prioritize prospects with the highest conversion probability.
  • Natural language parameter support allowing for complex search queries in plain English.
  • Automated outreach drafting that leverages contextual data from social media triggers.
  • Seamless integration with the broader suite of Openclaw Skills for end-to-end sales automation.

SKILL.md


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