Communication
Slack Signal Extractor
Scan Slack channels for a chosen signal type — customer escalations, incidents, team pulse, sales win/loss, or onboarding question gaps — and extract structured findings with verbatim message evidence plus optional follow-up drafts.
Best forAgencySaaSServices
Agents12 required
Duration3-5 minutes
Scan one or more Slack channels for a chosen signal type, extract structured findings with verbatim message evidence, score each finding by urgency or theme strength, and produce a focused brief plus optional follow-up actions.
How it runs
Multi-agent orchestration — here's the flow, step by step.
01
Signal type & channel scope
slack channel operations agent02
Slack message pull + thread expansion
messaging scanner03
Sentiment + urgency scoring
sentiment analyst03
Customer / ticket cross-reference
ticket classifier03
Win/loss + deal classification
deal analyzer03
Competitor mention surfacing
competitive intel03
Theme / question clustering
knowledge synthesizer03
Pulse + frequency ranking
data analyst03
Vendor status / external context
web researcher04
Reply / comms drafting
message writer04
Signal-specific brief
executive briefing writer05
Optional digest channel distribution
distributorRequired Agents
12- competitive-intel
- data-analyst
- deal-analyzer
- distributor
- executive-briefing-writer
- knowledge-synthesizer
- message-writer
- messaging-scanner
- sentiment-analyst
- slack-channel-operations-agent
- ticket-classifier
- web-researcher
Connections
Required
slack
Optional
hubspotverslay_exclusive
What it does
- Five signal types in one recipe
- Verbatim message evidence with permalinks
- Sentiment + urgency scoring
- Customer / ticket cross-reference when CRM is connected
- Drafted replies + incident comms (never auto-sent)
Example prompt
Scan #support and #escalations for customer escalations in the last 24 hours and draft acknowledgments.
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