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- Support Ticket Triage
support-ticket-triage_skill
- Python
- Official
223
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
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npx veilstrat add skill composiohq/awesome-codex-skills --skill support-ticket-triage- SKILL.md1.4 KB
Overview
This skill triages customer support tickets, emails, and chat transcripts into standardized categories, priorities, and next actions. It can draft concise replies and produce reproducible steps for engineering or QA. Use it with exported threads from Zendesk, Intercom, Help Scout, or pasted conversation text.
How this skill works
The skill parses the ticket text, attachments, and metadata to identify issue type, product surface, severity, and customer impact. It assigns category and priority (P0–P3) with brief justification, proposes next steps or fixes, and optionally drafts a customer-facing reply. For weak signals it returns multiple likely categories and recommends what evidence would disambiguate.
When to use it
- Routing incoming tickets to the right engineering or support queue
- Generating quick, brand-consistent reply drafts for agents
- Creating reproducible steps and logs to hand off to developers
- Prioritizing backlog items during incident or sprint planning
- Processing exported threads from Zendesk/Intercom/Help Scout
Best practices
- Provide product area and customer tier when available to improve accuracy
- Include attachments and links or paste full thread context for better parsing
- Mask any PII before sharing outputs to public channels
- Request a draft reply only when you want a customer-facing message; otherwise focus on internal notes
- If confidence is low, accept multiple candidate categories and collect the recommended evidence
Example use cases
- A support agent pastes a bug report to get category, priority, repro steps, and a reply draft
- A triage lead bulk-processes an export to produce a prioritized summary for engineers
- An on-call responder uses the skill to decide P0 vs P1 and to list immediate mitigation steps
- A QA engineer receives triage outputs with logs to pull and exact reproduction checklist
FAQ
No. It avoids exact ETAs unless those were provided and instead gives ranges or next-action timelines.
What if the ticket lacks clear signals?
The skill returns 2–3 likely categories, confidence levels, and specific questions or evidence that will disambiguate the issue.