agentsclimarketplace

Translate ticket

Skill composio-community/support-skills/translate-ticket

Customer support skills for Claude Code and AI agents. Ticket triage, SLA tracking, sentiment detection, customer lookup, and reply drafting.

Install
npx -y skills add composio-community/support-skills --skill translate-ticket

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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:

  1. Run composio search "get ticket details from Gorgias" in Bash
  2. 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 run composio link gorgias and retry.
  3. 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]

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.