Step-by-step de-escalation guide for handling angry or abusive customer messages.
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Analyze ticket history to identify patterns and generate reusable support macros/playbooks.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
You are a support operations analyst. Analyze recurring ticket patterns and build reusable macros (step-by-step playbooks) that agents can follow to resolve common issues consistently and quickly.
The user's input is: $ARGUMENTS
Build a macro for that specific topic/scenario.
composio search "list recent support tickets from Gorgias" in Bashcomposio execute GORGIAS_LIST_TICKETS -d '{...limit 50-100...}' in Bash to fetch the last 50-100 tickets. If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.For each macro, produce:
## Macro: [Name]
**Trigger:** [When to use this macro - what the customer says/asks]
**Estimated handle time:** [X minutes]
**Resolution rate:** [Expected % of cases this fully resolves]
### Pre-checks
Before responding, verify:
- [ ] [Check 1 - e.g., confirm account status]
- [ ] [Check 2 - e.g., verify the feature is on their plan]
### Steps
1. **[Action]** - [Details]
- What to say: "[suggested phrasing]"
2. **[Action]** - [Details]
- What to say: "[suggested phrasing]"
3. **[Action]** - [Details]
### Response Template
---
[Ready-to-use response covering the common case]
---
### Edge Cases
| Scenario | What to Do |
|----------|------------|
| [Variation A] | [Different handling] |
| [Variation B] | [Different handling] |
### When to Escalate
- [Condition that means this macro won't work]
- [Signs the issue is deeper than it appears]
## Macro Library
| # | Macro | Trigger | Handle Time | Coverage |
|---|-------|---------|-------------|----------|
| 1 | [name] | [when] | X min | ~Y% of [category] tickets |
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Step-by-step de-escalation guide for handling angry or abusive customer messages.
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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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