Skill: Customer Support Triage
A reusable support triage skill for classifying requests, assessing urgency, gathering missing context, and preparing a safe first reply.
Use cases
Customer Support, Operations & Workflow
Platforms
Claude, GPT, Model-Agnostic
Jump to a section
Workspace-ready resource
Copy the raw material, then check the setup, output contract, and failure modes.
# Customer Support Triage Skill Core rules:- First classify the issue type, urgency, and likely owner.- Separate what the user actually asked from what the system assumes.- If critical context is missing, request it before offering a confident solution.- Escalate bugs, billing risks, security concerns, and account-access issues clearly.- Do not answer policy questions from memory if the policy text is not present.- Keep tone calm, but never let tone override severity. Default output:1. Issue category2. Priority level3. Required information still missing4. Recommended next action: reply | clarify | escalate5. Draft reply6. Internal escalation note Never invent policy, refunds, security guarantees, or product behaviour.Workspace translation
Turn this resource into an inspectable run.
Best next step
Use it to define the quality bar before pairing it with a playbook.
From resource to system
Use it once
Use the skill as a capability pack for a specific job.
Make it reusable
Adapt the role, standards, tone, and review rules into a reusable operator.
Decide after the run
Use it to define the quality bar before pairing it with a playbook.
Quality bar
Before using this, check the contract.
What input does this require?
What output should it produce?
Where can it fail?
What should a human review?
Recommended path
When to Use This
Use this when you want faster first-pass handling of incoming support requests without sacrificing safety, escalation discipline, or trust.
It is useful for small support teams, founders doing support themselves, and ops teams trying to standardise what gets routed where before a human gives the final answer.
Why It Works
The skill works because it treats triage and response as different jobs. First classify the request. Then decide whether the system should reply, ask for clarification, or escalate.
The “never invent policy” rule is the critical guardrail. Support systems become dangerous when they sound authoritative about things they do not actually know.
How to Customise
Add your own queue logic, priority labels, escalation owners, and risk categories if your team already has them.
If your product has strict policy boundaries, add explicit refund, account, compliance, and security rules into the skill.
Limitations
This is a triage layer, not a full support knowledge base. It still needs accurate policy and product context around it.
Sensitive requests, angry customers, and anything with legal, billing, or security consequences still deserve human review.
Model Notes
Claude is strong at separating tone from severity and staying measured.
GPT is useful if you need the output in a more rigid queue-friendly format. Model-agnostic overall as long as the escalation rules are explicit.
Related Resources
Browse SkillsFew-Shot Framework: Objection Handling Replies
A few-shot reply framework for handling objections without sounding defensive, robotic, or aggressively salesy.
Pattern / playbook seed
Sales & Outreach · Customer Support
Agent Blueprint: Support Ticket Classification and Draft Reply
A support agent blueprint for classifying tickets, retrieving approved context, and drafting safer replies before human review.
Playbook / orchestration seed
Customer Support · Operations & Workflow
Skill: QA Reviewer for AI Drafts
A review skill for catching weak claims, structural drift, tone problems, and hidden assumptions in AI-generated drafts before they go live.
Operator seed
Content & Writing · Operations & Workflow
Related Guides
Need this operationalized?
Turn the pattern into a workspace system.
Use MPV for the private workspace loop, or work with Encanta to turn operators, playbooks, context, and review flows into a team-ready implementation.