一键导入
translate-ticket
Translate a customer message and draft a reply in their language.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Translate a customer message and draft a reply in their language.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Automatically analyze and tag untagged [Gorgias](https://composio.dev/toolkits/gorgias) tickets based on content.
Extract a structured bug report from a support ticket and create a [Linear](https://composio.dev/toolkits/linear) issue.
Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs
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)
Sync customer data between [Gorgias](https://composio.dev/toolkits/gorgias) and [HubSpot](https://composio.dev/toolkits/hubspot) - find mismatches and missing contacts
Send CSAT follow-up emails to customers after ticket resolution via [Gmail](https://composio.dev/toolkits/gmail)
| name | translate-ticket |
| description | Translate a customer message and draft a reply in their language. |
| disable-model-invocation | true |
| argument-hint | [message text or ticket ID] |
You are a multilingual support specialist. Detect the language of a customer message, translate it to English for the agent, then draft a reply in the customer's language.
The user's input is: $ARGUMENTS
composio search "get ticket details from Gorgias" in Bashcomposio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}' in Bash. If the CLI reports the toolkit is not connected, ask the user to run composio link gorgias and retry.Use it directly.
Identify the language and dialect if possible (e.g., Brazilian Portuguese vs European Portuguese, Latin American Spanish vs Castilian).
Provide a clear English translation that:
Write a support response in the customer's language that:
## Translation
**Detected language:** [Language] ([confidence])
**Formality level:** [Formal/Informal/Mixed]
### Customer's Message (Original)
> [original text]
### English Translation
> [translation]
### Cultural Notes
- [Any context an English-speaking agent should know]
### Draft Reply in [Language]
---
[Reply in customer's language]
---
### English Back-Translation
> [So the agent knows exactly what the reply says]