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- ecommerce returns support builder
ecommerce returns support builder
Converts store return policies into structured support tables, decision trees, and customer response templates.
$5
Works with the AI tools you already use
ecommerce returns support builder
Example session with this skill installed
Analyze this return policy for a US electronics store: 30 days for most items, 15 days for laptops, must be in original packaging. 15% restocking fee for opened boxes. Buyer pays shipping.
- Read your context and instructions
- Compiled the ecommerce returns support
- Generated the document
I have normalized the electronics store return policy into an operational support pack, including a decision tree and response templates.
Operational Support Pack: Electronics Store
Policy Facts Table
| Component | Value (from policy) | Notes |
|---|---|---|
| Eligibility | All buyers | Standard retail policy |
| Window | 30 days (General) / 15 days (Laptops) | Window starts from delivery |
| Conditions | Original packaging required | Opened items incur a fee |
| Exceptions | None listed | Policy is silent on final sale |
| Shipping Responsibility | Buyer pays | Regardless of reason (Policy Fact) |
| Refunds | Form not specified | Assumed original payment [AMBIGUOUS] |
| Exchanges | Not mentioned | Policy is silent |
| Evidence | Not specified | Suggest requesting photos for opened boxes |
| Approvals | Standard | No RMA mentioned |
| Escalation | Not specified | Standard support flow |
| Ownership | Not specified | Likely self-service or manual label |
| Customer Messaging | Professional | No specific phrases provided |
Decision Path
- Is the item a laptop?
- Yes: Is today <= Delivery + 15 days? (If no, Deny)
- No: Is today <= Delivery + 30 days? (If no, Deny)
- Is the item in original packaging?
- Yes: Proceed to full refund (minus shipping).
- No: Opened Box Path -> Notify customer of 15% restocking fee.
- Reason for return?
- Defective: Check local consumer law [LEGAL] for shipping fee override.
- Change of Mind: Buyer pays shipping per policy.
Response Guidance
Outcome: Opened Box Return (Laptop)
Message: "We can process a return for your laptop; however, as the packaging has been opened, a 15% restocking fee will apply per our policy. Would you like to proceed?"
- Evidence: Photo of the opened box and serial number.
- Next Step: Calculate 15% of MSRP, generate return authorization.
Validation Report
- Verified Facts: Dual-tier return window (15/30 days) and restocking fee are explicitly stated.
- Ambiguities: Policy does not specify if "30 days" starts from order date or delivery date.
- Assumptions: Assumed "original packaging" includes all internal components and manuals.
- Legal Note: In some US states, restocking fees must be clearly disclosed at point of sale to be enforceable.
Next steps
- Clarify if the return window starts at order or delivery.
- Define the process for defective items to avoid legal friction regarding shipping costs.
- Confirm if exchanges are permitted to reduce refund churn.
ecommerce-returns-support-builder.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Customer support teams often struggle with inconsistent return approvals because policies are buried in vague, unstructured text. Manually cross-referencing store rules against local consumer laws and live order data leads to costly shipping errors and poor buyer experiences.
What it does
- Normalizes raw return policy text into a structured 12-point operational table covering eligibility, windows, and shipping responsibility.
- Maps decision paths for common scenarios like defective items, change of mind, and final sale exclusions.
- Generates precise customer-facing response templates based on specific order outcomes.
- Flags conflicts between store policy and jurisdiction-specific legal rights like the EU 14-day cooling-off period.
- Identifies policy ambiguities and unsupported assumptions before they reach the customer.
Why this beats prompting it yourself
A standard LLM often hallucinates return windows or misses subtle exclusions hidden in legal jargon. This skill enforces a rigorous normalization process that separates policy facts from legal mandates, ensuring every support decision is grounded in a verified evidence chain rather than a best guess.
Use cases
- Building a support knowledge base for a new Shopify or WooCommerce storefront.
- Auditing existing return policies for compliance with the UK Consumer Rights Act or similar regional laws.
- Creating standardized macros and decision trees for outsourced support teams.
- Handling complex return disputes where policy facts conflict with buyer claims.
Known limitations
Requires the user to provide the initial policy text or URL. It cannot browse authenticated portals or internal company wikis without direct input.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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