Checks return eligibility and routes outcomes
The source instruction checks policy eligibility, distinguishes final-sale and item-condition cases, then routes the request to refund, store credit, exchange, or escalation.
BeginnerClaude Projects
Shopify Support Triage Agent
Shopify Support Triage Agent is an ecommerce AI skill for Claude Projects, built for teams working with Shopify, WooCommerce. Use it to you are handling recurring…
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System Prompt Original link: no public source found
What this Skill does
You are handling recurring pre-sale or post-sale questions. The first decision to test is whether Auto-triage 200+ daily support emails and Draft first responses while agents handle complex cases hold up together before reserving team time for judgment-heavy orders,… Start with a small test around “Auto-triage 200+ daily support emails”, then check whether “Draft first responses while agents handle complex cases” fits the way your team actually works.
What makes it different
Collects the reason before choosing a response
It asks why the return is happening and ties common reasons such as fit, damage, description mismatch, and changed mind to different next steps.
Turns customer feedback into structured output
The source asks the model to group, classify, answer, or prioritize review feedback rather than treating every comment as an isolated case.
Uses inventory signals for operating decisions
The source works with stock, demand, or reorder information to identify what should be replenished, monitored, or investigated.
Before you use it
Actual return-logistics information
Provide the approved label process, carrier or drop-off details, and the real refund timing. The source text can format these instructions but cannot look them up.
No installation needed
Copy and paste into a model chat
- Expand and copy the complete original Skill.md below.
- Open a new conversation in a compatible AI model, then paste it into the chat box.
- Add verified task details, run one low-risk example, and review the result before using it in store operations.
Original Skill.md
The complete source is shown below. Copy it from the top right to use it.
You are a Shopify customer support triage agent for an ecommerce store. Your role:
1. Analyze each incoming customer message and classify it:
- 🚨 URGENT: Refund requests, chargebacks, legal threats
- ⚡ HIGH: Shipping delays, damaged items, wrong orders
- 📋 NORMAL: Product questions, sizing help, stock availability
- 💡 LOW: General feedback, feature requests, thank-you notes
2. For each ticket, draft a response with:
- Empathetic acknowledgment of the issue
- Specific next steps based on category
- Estimated resolution timeline
- One personalized detail from their order history
3. Suggest which team member should handle it based on:
- Order value (high-value → senior agent)
- Issue complexity
- Customer history (repeat issues → manager)
Your tone is warm, professional, and solution-oriented. Never make promises about refunds or compensation — defer those to human approval.Get started
Starter prompts for the main use cases—copy and use them directly.
01Start with one real task
Do not begin with a store-wide rollout. Pick one reversible task where Shopify Support Triage Agent can help you handle customer questions, retention signals, and follow-up work. Use this when the input boundary, owner, and one primary measure from resolution quality, reopen rate, response time, and customer satisfaction are written down.
Show prompt and variablesHide prompt and variables
Start with one real task
Do not begin with a store-wide rollout. Pick one reversible task where Shopify Support Triage Agent can help you handle customer questions, retention signals, and follow-up work. Use this when the input boundary, owner, and one primary measure from resolution quality, reopen rate, response time, and customer satisfaction are written down.
Use the Skill above to help me with this task: Start with one real task.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not begin with a store-wide rollout. Pick one reversible task where Shopify Support Triage Agent can help you handle customer questions, retention signals, and follow-up work.
Return a practical result and clearly flag anything that needs human review.Replace these variables
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
02Prepare the input and guardrails
Collect only the current policies, representative conversations, order context, and escalation rules needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Show prompt and variablesHide prompt and variables
Prepare the input and guardrails
Collect only the current policies, representative conversations, order context, and escalation rules needed for this test. Remove unrelated personal data and state which actions must never run automatically. Use this when every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.
Use the Skill above to help me with this task: Prepare the input and guardrails.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Collect only the current policies, representative conversations, order context, and escalation rules needed for this test. Remove unrelated personal data and state which actions must never run automatically.
Return a practical result and clearly flag anything that needs human review.Replace these variables
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
03Inspect the source Skill, then run it
Read the source, installation method, and permission notes before adding Shopify Support Triage Agent to a separate test project. Keep commands and Skill text exactly as published. Use this when you have a customer-service or retention workflow that a responsible operator can inspect, and it stayed inside the approved boundary.
Show prompt and variablesHide prompt and variables
Inspect the source Skill, then run it
Read the source, installation method, and permission notes before adding Shopify Support Triage Agent to a separate test project. Keep commands and Skill text exactly as published. Use this when you have a customer-service or retention workflow that a responsible operator can inspect, and it stayed inside the approved boundary.
Use the Skill above to help me with this task: Inspect the source Skill, then run it.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Read the source, installation method, and permission notes before adding Shopify Support Triage Agent to a separate test project. Keep commands and Skill text exactly as published.
Return a practical result and clearly flag anything that needs human review.Replace these variables
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
04Review it against a baseline
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when resolution quality, reopen rate, response time, and customer satisfaction has a pre-test baseline, and errors and exceptions are logged separately.
Show prompt and variablesHide prompt and variables
Review it against a baseline
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time. Use this when resolution quality, reopen rate, response time, and customer satisfaction has a pre-test baseline, and errors and exceptions are logged separately.
Use the Skill above to help me with this task: Review it against a baseline.
Task details: [TASK_DETAILS]
Constraints or policies to follow: [CONSTRAINTS]
Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.
Return a practical result and clearly flag anything that needs human review.Replace these variables
[TASK_DETAILS]- The facts, context, or source material for this task.
[CONSTRAINTS]- Replace this placeholder with your verified store-specific information.
Risks and operating notes
Use the current return policy, not the example rule
The instruction includes example eligibility and resolution paths. Replace its time window, final-sale handling, refund, exchange, and store-credit rules with the policy that is currently approved for your store.
Do not invent labels, links, locations, or timelines
This text can draft return instructions, but it does not verify a carrier label, local drop-off point, parcel status, or refund-processing time. Use only details supplied by your actual return system.
A chat instruction does not update inventory
If the instruction mentions inventory, treat that as an operational step to verify. A pasted Skill cannot change stock records unless a separately configured and approved integration performs that action.
Use the minimum customer data needed
The workflow may need an order reference or case facts. Do not paste payment details, full addresses, or unrelated order history into a model conversation; redact them unless they are essential to the decision.
Network-collected; original author unavailable.
The complete available Skill content is cataloged and reviewed; public web material does not currently name the original author. Attribution does not affect its directory visibility or content-based recommendation eligibility.
Network-collected; no author source is listed. This label describes attribution only, not capability, visibility, or recommendation eligibility.
Risk, permissions, and limitations
Review third-party permission scopes before providing store data. Never paste payment credentials, customer passwords, or unnecessary personal data into a model. Outputs must be checked by the operator responsible for the workflow.
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