Production-ready
OpenClaw Conversation Detection Agent
Scores discovered signals for relevance, engagement potential, and risk. Queues high-scoring signals for content response generation while filtering out risky or low-value conversations.
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.
Scores discovered signals for relevance, engagement potential, and risk. Queues high-scoring signals for content response generation while filtering out risky or low-value conversations.
Challenges This Agent Addresses
- 1**Marketing**: Automated identification of high-value engagement opportunities
- 2**Risk Management**: Automated filtering of controversial or risky conversations
- 3**Prioritization**: Score-based ranking ensures highest-value signals are processed first
How the Agent Works
Step-by-step operational flow showing how this agent processes tasks end-to-end.
Step 1
Fetches unscored signals (status = discovered)
Step 2
Scores relevance (0 to 1) based on keyword matching across three tiers: direct value prop, broad AI topics, adjacent tech
Step 3
Scores engagement (0 to 1) based on comments, upvotes, amplification, recency, and platform type
Step 4
Scores risk (0 to 1) based on risky terms, controversial contexts, and pile-on detection
Step 5
Queues signals above relevance and engagement thresholds but below risk threshold
Step 6
Creates generate_response tasks for queued signals
Execution Modes
Inputs & Outputs
What data this agent consumes and the artifacts or actions it produces.
Input Data
- OpenclawSignal records with status = discovered
Deliverables
- Scored signals with relevance, engagement, and risk scores
- High-scoring signals queued with generate_response tasks
- Risky signals marked as skipped
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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