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Customer support skills for Claude Code and AI agents. Ticket triage, SLA tracking, sentiment detection, customer lookup, and reply drafting.
npx -y skills add composio-community/support-skills --skill translate-ticketAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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Translate a customer message and draft a reply in their language.
SKILL.md
2.0 KB, as published. Nobody here has run it
Translate Ticket
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
Workflow
If a Gorgias ticket ID is provided:
- Run
composio search "get ticket details from Gorgias"in Bash - Run
composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}'in Bash. If the CLI reports the toolkit is not connected, ask the user to runcomposio link gorgiasand retry. - Parse the JSON output and extract the customer's messages
If raw text is pasted:
Use it directly.
Process
Step 1: Language Detection
Identify the language and dialect if possible (e.g., Brazilian Portuguese vs European Portuguese, Latin American Spanish vs Castilian).
Step 2: Translate to English
Provide a clear English translation that:
- Preserves the customer's tone and intent
- Notes any idioms or cultural context that doesn't translate directly
- Flags ambiguous phrases with possible interpretations
Step 3: Draft reply in customer's language
Write a support response in the customer's language that:
- Uses natural, native-sounding phrasing (not machine-translate-quality)
- Matches the formality level of the customer's message
- Uses the correct formal/informal address (e.g., usted vs tu, vous vs tu, Sie vs du)
Output
## 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]