ecommerce returns support builder

    1

    Converts store return policies into structured support tables, decision trees, and customer response templates.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    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

    ComponentValue (from policy)Notes
    EligibilityAll buyersStandard retail policy
    Window30 days (General) / 15 days (Laptops)Window starts from delivery
    ConditionsOriginal packaging requiredOpened items incur a fee
    ExceptionsNone listedPolicy is silent on final sale
    Shipping ResponsibilityBuyer paysRegardless of reason (Policy Fact)
    RefundsForm not specifiedAssumed original payment [AMBIGUOUS]
    ExchangesNot mentionedPolicy is silent
    EvidenceNot specifiedSuggest requesting photos for opened boxes
    ApprovalsStandardNo RMA mentioned
    EscalationNot specifiedStandard support flow
    OwnershipNot specifiedLikely self-service or manual label
    Customer MessagingProfessionalNo specific phrases provided

    Decision Path

    1. Is the item a laptop?
      • Yes: Is today <= Delivery + 15 days? (If no, Deny)
      • No: Is today <= Delivery + 30 days? (If no, Deny)
    2. Is the item in original packaging?
      • Yes: Proceed to full refund (minus shipping).
      • No: Opened Box Path -> Notify customer of 15% restocking fee.
    3. 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

    1. Clarify if the return window starts at order or delivery.
    2. Define the process for defective items to avoid legal friction regarding shipping costs.
    3. Confirm if exchanges are permitted to reduce refund churn.

    ecommerce-returns-support-builder.pdf

    PDF · document

    Generated

    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

    Standardize support responses for high-volume ecommerce storefronts.Audit return policies for compliance with regional consumer laws.Identify gaps and ambiguities in existing merchant return terms.Generate structured decision trees for customer service agents.

    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.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Security scanned

    Verified clean 18 days ago

    • Passed all security checks, Safe to install

    Listed18 days ago

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