smithery.ai

support-ticket-triage

Triage customer support tickets/emails/chats into categories, priority, and next action; draft responses and create reproducible steps; use for Zendesk/Intercom/Help Scout exports or pasted threads.

First seen Mar 19, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Windsurf Not declared
Gemini CLI Not declared
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Skill metadata

Parsed from SKILL.md frontmatter.

More metadata
short-description
Categorize and respond to support tickets

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,459 B
  • docs SUMMARY.md 227 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Support Ticket Triage

Standardize how to classify and respond to incoming tickets.

Inputs to gather

  • Ticket text (include attachments/links), product area, customer plan/tier if known.
  • Desired outputs: category taxonomy, priority levels, SLA hints, tone/brand voice, whether to draft a reply.

Workflow

  1. Parse context: identify issue type, product surface, severity, customer impact, reproduction hints, and blockers.
  2. Categorize: assign category and subcategory; set priority (e.g., P0–P3) with short justification.
  3. Draft response (if asked): concise acknowledgment, empathy, restate issue, next steps, and ask for missing info; include reproduction checklist when uncertain.
  4. Internal notes: suspected root cause, logs to pull, teams to loop, and tracking IDs to create/attach.
  5. Output: tabular or bullet summary with Category, Priority, Summary, Proposed Fix/Next Steps, Reply Draft.

Quality checks

  • Avoid promises; give ranges not exact ETAs unless provided.
  • Mask PII if copying to public channels.
  • If signal is weak, present 2–3 likely categories and what evidence would disambiguate.