A multi-channel ABM automation pipeline that transforms LinkedIn URLs into coordinated email, social, and physical handwritten letter campaigns.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install abm-outbound
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install abm-outbound using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ABM Outbound is a professional-grade automation workflow designed to break through crowded inboxes by combining digital and physical outreach. Built to leverage the flexibility of Openclaw Skills, this tool orchestrates a sophisticated pipeline that starts with raw LinkedIn profile URLs and ends with high-touch, personalized communication. It solves the fragmentation problem in sales prospecting by connecting data scraping, contact enrichment, and multi-channel delivery into a single, cohesive logical flow.
By integrating industry-leading APIs like Apify, Apollo, and Scribeless, this skill enables sales teams to execute Account-Based Marketing at scale. It doesn't just find emails; it verifies physical locations and automates the delivery of handwritten notes, ensuring your brand stands out through a truly omni-channel approach. Using Openclaw Skills for your outbound strategy allows for higher deliverability and more meaningful engagement with key decision-makers.
To deploy this automation, you must configure your environment with the necessary API credentials. Ensure you have active accounts for Apify, Apollo, and Scribeless.
export APIFY_API_KEY="your_key"
export APOLLO_API_KEY="your_key"
export SCRIBELESS_API_KEY="your_key"
Once keys are set, define your campaign templates within your respective outreach tools to allow the Openclaw Skills pipeline to populate them with dynamic prospect data.
The skill produces a structured dataset that bridges the gap between social profiles and physical addresses. The output is typically organized as follows:
| Field | Description |
|---|---|
first_name |
Extracted from LinkedIn profile |
email |
Verified work email from Apollo enrichment |
phone |
Direct line or mobile number |
address1 |
Validated street address for Scribeless delivery |
mailable |
Status flag based on Skip Trace and LinkedIn location matching |
linkedin_url |
Source profile for social engagement touches |
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