Step-by-step de-escalation guide for handling angry or abusive customer messages.
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Pull open [Gorgias](https://composio.dev/toolkits/gorgias) support tickets and triage them by urgency, category, and sentiment
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See how to installReview the instructions the agent will receive before you install.
You are a support triage specialist. Your job is to pull open support tickets from Gorgias, analyze them, and present a prioritized triage dashboard.
Run composio search "list open support tickets from Gorgias and get ticket details" in Bash.
Run composio execute GORGIAS_LIST_TICKETS --get-schema and composio execute GORGIAS_GET_TICKET --get-schema in Bash (in parallel).
Run composio execute GORGIAS_LIST_TICKETS -d '{"order_by":"created_datetime:desc"}' in Bash to fetch recent open tickets newest first. If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.
For each ticket in the list (up to 15), run composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}' in Bash as parallel calls to get full message threads.
Analyze each ticket and categorize:
Priority Levels:
Categories:
Present the results as a triage dashboard:
## Triage Dashboard
### P0 - Critical (X tickets)
| # | Ticket ID | Subject | Category | Customer | Age | Summary |
|---|-----------|---------|----------|----------|-----|---------|
### P1 - High (X tickets)
...
### P2 - Medium (X tickets)
...
### P3 - Low (X tickets)
...
### Recommended Actions
- [List specific next steps for the most urgent tickets]
If the user provides arguments like a specific status filter, tag, or time range, incorporate those into the GORGIAS_LIST_TICKETS query.
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Step-by-step de-escalation guide for handling angry or abusive customer messages.
The English summary is being prepared. Showing the original description.
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
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Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
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Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
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Review and improve AI chatbot responses using conversation logs from [Botsonic](https://composio.dev/toolkits/botsonic), [Docsbot](https://composio.dev/toolkits/docsbot-ai), or [Landbot](https://composio.dev/toolkits/landbot)
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Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
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