Production-ready
OpenClaw LinkedIn Flow Agent
Generates LinkedIn action suggestions including comments, connection requests, and DM follow-ups. All actions are created as pending and never auto-executed, requiring manual approval.
Sales & Marketing department for Colaberry Enterprise agents
Built by Colaberry
About the Agent
What this agent does, the challenges it addresses, and where it delivers value.
Generates LinkedIn action suggestions including comments, connection requests, and DM follow-ups. All actions are created as pending and never auto-executed, requiring manual approval.
Challenges This Agent Addresses
- 1**Sales**: Curated daily LinkedIn action list for the team
- 2**Networking**: Strategic connection requests to high-seniority engagers
- 3**Pipeline**: DM suggestions for advancing conversations toward conversion
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
Step 1
Finds recent LinkedIn signals worth engaging with and generates comment suggestions via GPT-4o
Step 2
Identifies high-seniority engagers (director+) for connection request suggestions
Step 3
Finds advanced-stage LinkedIn conversations for DM follow-up suggestions
Step 4
Creates all actions as pending in the LinkedInActionQueue - never auto-executes
Step 5
Respects configurable limits per action type per run
Execution Modes
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- Recent LinkedIn signals (last 24 hours)
- High-intent EngagementEvent records from LinkedIn
- OpenclawConversation records at advanced stages
Deliverables
- LinkedInActionQueue entries for comments
- connection requests
- and DM follow-ups (all pending status)
Core Tasks
- LinkedIn Automation
Systems Connected
Internal systems, APIs, and tools this agent integrates with.
Tools & APIs
Agent Specs
Technical specifications, requirements, and deployment details.
Related Agents
Other agents in the same department or industry.
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