A sophisticated lead qualification tool that transforms raw company lists into prioritized prospect profiles with actionable sales hooks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lead-gen-research
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-research 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 Gen Research Skill?
The Lead Gen Research skill is a high-performance automation module designed for modern sales teams and marketers utilizing Openclaw Skills. It bridges the gap between raw data and high-conversion outreach by performing deep social profiling, detecting significant company milestones, and mapping these insights to specific industry pain points. By incorporating this into your workflow, you can significantly reduce the manual labor involved in B2B prospecting while increasing the quality of your outbound communication.
Built for versatility, this skill within the Openclaw Skills ecosystem allows users to handle everything from single-prospect deep dives to large-scale batch processing. It ensures that every interaction is grounded in current data, whether that involves identifying a recent Series B funding round or spotting a leadership change that serves as a perfect sales trigger.
Lead Gen Research Skill Use Cases
- Automating the qualification of B2B prospects from raw CSV or list inputs.
- Identifying high-intent trigger events like recent hiring or product launches for timely outreach.
- Generating multiple personalized email opening lines to increase response rates.
- Scoring and prioritizing leads on a 1-10 scale to focus sales efforts on high-value targets.
- Mapping specific prospect profiles to unique service offers and industry-specific pain points.
How Lead Gen Research Skill Works
- Input a list of companies or contacts into the Openclaw Skills environment via text or CSV.
- The skill initiates social profiling by pulling public data from LinkedIn, X/Twitter, and company websites.
- It monitors for trigger events such as leadership changes, funding rounds, or significant product shifts.
- Prospect data is cross-referenced with industry pain points to determine the most effective value proposition.
- The system generates 2-3 personalized outreach angles and suggests the best communication channel.
- A prioritized output is produced, ranking prospects by their likelihood to convert and urgency.
Lead Gen Research Skill Setup
To start using this skill in your environment, ensure you have your reference files configured. You can initialize the process using the following commands:
# Install the lead-gen-research skill
openclaw install lead-gen-research
# Configure your industry-specific triggers and scoring criteria
nano references/scoring-criteria.md
nano references/industry-triggers.md
Once configured, you can call the skill within your Openclaw Skills workflow by providing a list of company names or a CSV file path.
Lead Gen Research Skill Data Schema & Taxonomy
The skill organizes lead intelligence into a structured format for easy integration with CRM systems:
| Attribute | Description | Data Type |
|---|---|---|
| Company Name | Name of the prospect organization | String |
| Fit Score | Qualification ranking from 1 to 10 | Integer |
| Trigger Event | Specific event creating a sales opportunity | String |
| Pain Points | Likely challenges based on industry and profile | Array |
| Outreach Angles | Personalized hooks and opening lines | Array |
| Priority | Categorization as High, Medium, or Low | String |
Lead Gen Research Skill Advanced Features
- Multi-channel recommendation engine (Email, LinkedIn, or X DM) based on social presence.
- Integration with the cold-email-sequence skill for automated follow-up logic.
- Support for large-scale batch CSV processing with automated priority flagging.
- Customizable scoring algorithms through the references/scoring-criteria.md configuration.
- Dynamic pain point mapping based on the specific service or offer description provided.
SKILL.md
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