An intelligent CRM bridge that syncs LinkedIn conversations with Google Sheets and automates contextual follow-up messaging.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-followup
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 linkedin-followup 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 LinkedIn Follow-up Automation Skill?
The LinkedIn Follow-up skill is a professional-grade automation tool designed to turn Google Sheets into a high-performance LinkedIn CRM. By integrating directly with your browser and Google Sheets via the gog CLI, this skill allows users to maintain a real-time record of all outreach efforts. It is a core component of the Openclaw Skills ecosystem, enabling developers and sales teams to move leads through a structured pipeline—from initial outreach to closed-won status—without manual data entry.
This skill goes beyond simple messaging by incorporating intent analysis and context-aware drafting. It reads the entire conversation thread, mirrors the prospect's tone, and suggests the most effective next move based on a customizable response playbook. Whether you are managing ten or a hundred leads, Openclaw Skills provide the infrastructure to scale your personalized outreach while maintaining a human touch.
LinkedIn Follow-up Automation Skill Use Cases
- Automatically updating lead statuses in Google Sheets when a prospect replies on LinkedIn.
- Generating and sending personalized follow-up messages based on the previous message context.
- Performing batch reviews of outreach campaigns to identify prospects who haven't responded in a specific timeframe.
- Maintaining a centralized, searchable log of all LinkedIn conversation history for a sales team.
How LinkedIn Follow-up Automation Skill Works
- The skill queries a designated Google Sheet to retrieve lead details, LinkedIn URLs, and current statuses.
- It navigates to the LinkedIn feed and then to specific profiles using anti-detection patterns to ensure account safety.
- The agent scrapes the active message thread and analyzes the last response to determine prospect intent.
- A contextual reply is drafted using a predefined response playbook, which the user can approve or edit.
- Upon confirmation, the message is sent through the browser profile and the Google Sheet is updated with a new timestamp, log entry, and status change.
LinkedIn Follow-up Automation Skill Setup
To get started with this skill, ensure you have the gog CLI tool configured. Follow these steps to authenticate your environment:
gog auth credentials set /path/to/client_secret.json
gog auth add [email protected] --services sheets
Next, ensure your Google Sheet contains the required columns (A–P). If you need to add the tracking columns, use the following command:
gog sheets update <SHEET_ID> "Sheet1!M1:P1" --values-json '[["Last Reply Date","Last Reply (preview)","Conversation Log","Next Action"]]' --input USER_ENTERED
LinkedIn Follow-up Automation Skill Data Schema & Taxonomy
The skill organizes lead data across 16 columns in Google Sheets to ensure comprehensive tracking:
| Column | Field | Description |
|---|---|---|
| B | Person Name | The full name of the prospect |
| E | LinkedIn URL | Direct link to the prospect's profile |
| J | Status | Pipeline stage (e.g., Sent, Replied, Call Scheduled) |
| O | Conversation Log | Full history of SENT and RECEIVED messages with timestamps |
| P | Next Action | AI-suggested or human-defined next step |
LinkedIn Follow-up Automation Skill Advanced Features
- Context-Aware Analysis: Automatically detects if a prospect is interested, asking for a demo, or raising an objection.
- Anti-Detection Protocols: Built-in safety features like feed-first navigation and session message limits (15-20 messages).
- Batch Review Logic: Identifies leads that have gone cold after a specific number of days for automated nudges.
- Mirror Tone Logic: Drafts responses that match the prospect's formal or casual communication style within Openclaw Skills.
SKILL.md
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