Support Operations
SkillDev toolsGuides your agent to draft a customer support reply and choose severity, escalation, and next steps for a support case.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Support Operations skill
About this skill
[omh] Support ticket your team must answer or escalate: turn a support case into a clear customer reply, severity path, and owned next step. Use when the user says: support escalation, customer support reply, ticket triage, 고객 지원 에스컬레이션, 고객 답변 초안, 지원 티켓 분류.
What this skill tells your AI
The instructions your AI receives, as published by rlaope/oh-my-hermes in agent-skills/omh-support-operations/SKILL.md and read by ahel’s review.
This is an OMH support-operations workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
support-operations turns a bounded customer case into response and escalation guidance without treating drafts or recommendations as helpdesk actions.
Do Not Use When
- The request clusters a backlog of customer signals to find product patterns or roadmap candidates; use
feedback-triage. - The user only needs a generic, non-support marketing or email rewrite with no case, severity, or escalation context; use
content-operator. - The request asks to send a reply, change ticket priority or status, issue a refund, modify an account, or update a helpdesk; use
connector-operatorwith an explicit target and observed result. - The request is an incident that is still open, needing severity declared, a commander assigned, and a running timeline rather than a support-case response; use
live-incident-response. - The request is a closed incident's postmortem or reliability evidence rather than a support-case response; use
reliability-review.
Examples
Good example:
- Prompt: Draft a calm reply for this login-outage customer and tell me whether it needs an engineering escalation.
- Expected behavior: Prepare a customer-safe reply, severity matrix, engineering escalation recommendation, and owner handoff.
- Why: The request is one support case with reply and escalation decisions, not a feedback backlog or ticket mutation.
Bad example:
- Prompt: Cluster last quarter's support feedback into roadmap opportunities.
- Expected behavior: Route to
feedback-triage, notsupport-operations. - Why: A historical signal backlog needs product-pattern triage rather than case-level support guidance.
Completion Checklist
- The source boundary, signal clusters, severity, and follow-up lane are named.
- Bug, feature, research, strategy, and coding handoff outcomes stay separate.
- The next workflow is recommended before any implementation claim.
Recovery Notes
- If feedback lacks source or severity, ask for the missing signal before coding handoff.
- If the item is actually a plan or research request, route to that workflow instead of triage.
Use When
Use when one or a bounded set of support contacts needs response drafting, urgency classification, incident/escalation routing, and follow-up ownership.
Strong routing signals: `support escalation`, `customer support reply`, `ticket triage`, `고객 지원 에스컬레이션`, `고객 답변 초안`, `지원 티켓 분류`
Catalog Metadata
Category: triage
Phase: support-operations
Quality tier: triage-gated
Reasoning demand: standard
Quality bar:
- State issue, severity, impact, evidence gaps, owner, and next route.
- Draft a reply without treating it as a sent customer communication.
Required inputs:
- support case
- known facts
- customer impact
- available ownership or escalation path
Expert clarification questions:
support case- English: Which support case should we examine first?
- Korean: 어떤 지원 사례를 먼저 살펴봐야 하나요?
Expected outputs:
- customer-safe reply draft with stated facts, unknowns, and tone
- issue/severity/impact/escalation matrix
- internal next-step and owner handoff brief
- missing repro, account, entitlement, or approval evidence list
Artifact expectations:
- prepared support case brief when a wrapper captures it
Artifact contracts:
This label denotes the machine-enforcement level, not a skill quality score and not an observed evidence state.
- contract_id:
support-operations; enforcement_level:guidance_only; consumer_id:none
Safety rules:
- Keep customer-safe facts, unknowns, and escalation recommendations distinct.
- Do not claim ticket mutation, message send, refund, account action, or case outcome.
Runtime Evidence
Use the current host's own tools and subagent/task mechanism when available;
otherwise run the same lanes sequentially or name the unavailable capability.
A prepared plan, handoff, checklist, or skill installation is not execution,
review, CI, merge-readiness, or merge evidence. Record actual tool results, or
not_observed / not_available, in the record; never invent dispatch or host
accounting.
Treat supplied context as advisory, not proof of hidden memory reads or writes.
State scope, constraints, verification, and the stop condition before work.
Reply in the user's own words and the host's own voice: OMH's record terms
(surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in
records and tool calls, never in the sentence the user reads unless they ask
about one; and when a stop condition or a decision the user owns ends the turn,
offer the next action as a question rather than declaring what will not be done.
Supporting paths are relative to this skill directory; sibling skill paths are
relative to its parent. Resolve them from the host-provided skill base directory
({baseDir} on hosts that provide it), never a hardcoded install location.
A named workflow not installed here is unavailable, not permission to emulate
its host-specific capabilities. Verify through the real surface before done.
Signals
- GitHub stars
- 3k
- Forks
- 235
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
omh-support-operations- Source
- github.com/rlaope/oh-my-hermes