Automate hyper-personalized cold email outreach by leveraging AI to research prospects and craft unique, high-converting sequences.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cold-email
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 cold-email using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
MachFive is a specialized AI tool designed to transform lead data into hyper-personalized outreach campaigns. Unlike traditional template-based systems, this skill uses AI to perform deep research on prospects, including their company websites and LinkedIn profiles, to craft unique messages for every recipient. By integrating this into your workflow via Openclaw Skills, you can automate the entire lifecycle of an outreach campaign, from lead research to the generation of multi-step email sequences.
The skill provides a robust interface for managing campaigns, processing single leads synchronously, or handling large batches asynchronously. It is ideal for sales teams, founders, and marketers who want to maintain a personal touch at scale while significantly reducing the manual effort required for prospect research and copywriting.
To begin using this skill, you must authenticate with the MachFive platform.
MACHFIVE_API_KEY in your local or server environment.# Example environment setup
export MACHFIVE_API_KEY='your_secret_api_key'
The skill manages data through structured lead objects and campaign configurations. Key lead fields include:
| Field | Required | Description |
|---|---|---|
| Yes | Primary lead identifier and mapping key. | |
| name | No | Used for personalized greetings. |
| company_website | No | Scanned by AI to understand the prospect's business. |
| linkedin_url | No | Used for deep personal background research. |
Successful generation returns a sequence array containing multiple steps, each with a specific subject and body optimized for conversion. For batch operations, a list_id is provided to track the processing state and retrieve final outputs.
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