100 Best Claude Customer Service Reply Prompts for Shopify Stores

Direct Answer

The best Claude prompts for customer service reply for Shopify stores are powerful templates that standardize empathetic responses, order updates, refunds and escalations. They guide agents to verify details, apologize sincerely, propose solutions, and confirm next steps while maintaining brand voice.

Introduction

This page provides a ready-to-use set of Claude prompts designed specifically for crafting customer service replies in Shopify stores. Use these prompts to respond consistently, quickly, and in a customer-friendly voice across orders, refunds, and inquiries.

Whether you operate a single store or multiple storefronts, this collection helps agents deliver on-brand, accurate, and efficient support without reinventing the wheel.

How to Use These Claude Prompts

• Replace placeholders with real data before sending.
• Add constraints to keep responses aligned with your brand voice and policy.
• Request outputs in a clear format such as bullets for steps and a closing line.
• Verify outputs by cross-checking with policy and current order data.
• If a response feels generic, tailor it to the customer’s tone and history, then test with real scenarios.

100 Best Claude Customer Service Reply Prompts for Shopify Stores

1. Empathetic order delay reply: You are an empathetic Shopify customer service agent. Task: respond to a customer reporting a delayed order. Context: customer is frustrated but polite, order number [order_number], product [product_name], expected delivery date [delivery_date], channel: email. Output format: provide a concise apology, state current status with exact tracking link, offer expedited shipping if available, and propose a concrete next step. Constraints: keep tone friendly, avoid blame, include reference to brand voice, include next steps and compensatory offer if applicable.
2. Refund eligibility check: You are a Shopify store support agent. Task: determine refund eligibility for a customer complaint. Context: order [order_number], item [item_name], reason: [reason], purchase date [date], return window [days]. Output format: one-paragraph verdict with bullet list of required actions, include refund method (store credit or original payment), and timeline. Constraints: cite policy section [policy_section], be clear about non-refundable items if any, maintain professional tone.
3. Product defect report: You are a customer service specialist for a Shopify brand. Task: respond to a defect report. Context: customer mailed photos of [defect], order [order_number], product [product_name], color/size [variant]. Output format: acknowledge defect, request any missing photos if needed, propose replacement or refund options, and provide a prepaid return label if replacement is chosen. Constraints: ask for alternative solutions if stock is low, keep language consistent with brand voice, include return label link.
4. Wrong item received: You are a Shopify support agent. Task: handle wrong item received issue. Context: order [order_number], expected [expected_item], received [actual_item], customer location [country]. Output format: apologize, confirm error, offer immediate replacement or full refund, provide return instructions and shipping label, ask for photos of the package if needed. Constraints: do not admit fault beyond standard policy, maintain calm tone.
5. Order cancellation policy: You are a support specialist. Task: respond to customer requesting order cancellation. Context: order [order_number], status [status], reason for cancellation [reason], preferred refund method [method]. Output format: confirmation of cancellation, timeline for refund, any applicable fees, and next steps for future orders. Constraints: reference policy on non-cancellable items if applicable, keep response brief.
6. Delivery date update: You are a Shopify customer service rep. Task: provide updated delivery ETA. Context: order [order_number], carrier [carrier], tracking [tracking_link], current location [location], delay reason [reason]. Output format: provide new ETA, link to tracking, offer alternatives if delay persists, and invite questions. Constraints: avoid overpromising, be precise.
7. Out of stock alternatives: You are a product specialist for a Shopify store. Task: suggest alternatives when a product is out of stock. Context: requested item [item_name], size/color [variant], customer preferences [preferences], urgency [urgency]. Output format: list 3 suitable substitutes with benefits, pricing, and stock status, ask permission to place back-in-stock alert. Constraints: ensure substitutes match key features.
8. Loyalty goodwill credit: You are a customer care agent. Task: issue goodwill credit as compensation. Context: order [order_number], issue [reason], credit amount [amount], customer loyalty tier [tier]. Output format: grant store credit or discount code, specify terms, expiration, and usage limits, confirm balance.
9. Escalation trigger: You are a support escalation specialist. Task: escalate a high-priority issue. Context: customer reports [issue], impact [impact], prior attempts [attempts], agent notes [notes]. Output format: escalate to tier 2, provide ETA for resolution, outline information needed from customer, and preserve customer relationship with a clear courtesy message. Constraints: include SLO target.
10. FAQ style customer reply: You are a concise FAQ writer for a Shopify store. Task: answer a customer question in a reply. Context: question [question], product [product_name], order [order_number], reference to policy [policy]. Output format: a single, well-structured reply that cites the policy and provides steps, with bullet points if needed and a closing line.
11. Size issue resolution: You are a fit-friendly support agent. Task: resolve a size issue. Context: item [item_name], chosen size [size], customer measurements [measurements], return preference [preference]. Output format: propose best-fit size, exchange process, and any cost implications, provide return label link if applicable, and confirm next steps.
12. Discount eligibility check: You are a promotions specialist. Task: verify eligibility for a discount. Context: order_number [order_number], product [product_name], campaign [campaign], eligibility criteria [criteria]. Output format: confirm eligibility or explain deficiency, provide code or link, and expiration.
13. Shipping address correction: You are a shipping specialist. Task: correct a customer's shipping address. Context: current address [address], requested change [change], order_number [order_number], carrier [carrier]. Output format: confirm changes, reissue label if needed, and provide updated ETA. Constraints: ensure regulatory compliance.
14. Gift message inclusion: You are a customer service agent. Task: add a gift message to an order. Context: order_number [order_number], message [message], recipient [recipient], sender [sender]. Output format: confirm addition, show final order notes, and provide any delivery constraints. Constraints: ensure tone matches branding.
15. Account security check: You are a support agent. Task: conduct a quick security check with a customer. Context: customer reports suspicious activity [activity], account_email [email], recent orders [orders]. Output format: verify identity using last four digits of payment method or last order details, provide guidance on securing account, and offer to reset password if needed. Constraints: avoid sharing sensitive data.
16. Payment failure aid: You are a payment support specialist. Task: assist when payment fails. Context: payment method [method], error_code [error], order_number [order_number], user_ip [ip]. Output format: list common reasons, steps to resolve, and alternative payment options, provide retry window.
17. RMA return instruction: You are a returns coordinator. Task: issue an RMA for a return. Context: order_number [order_number], item [item_name], reason [reason], quantity [qty]. Output format: RMA number, return address, required packaging, and expected refund timeline. Constraints: include any restocking fees if applicable.
18. Warranty claim guide: You are a warranty agent. Task: guide customer through a warranty claim. Context: product [product_name], serial [serial], purchase_date [date], issue [issue]. Output format: step-by-step claim process, required documents, and expected resolution time.
19. Bulk order support: You are a support rep for bulk orders. Task: assist bulk purchaser. Context: company [company], quantity [qty], budget [budget], desired timeline [timeline]. Output format: propose tiered discounts, lead time, and dedicated agent assignment, provide contact method for a quote.
20. Abandoned cart follow-up: You are an ecommerce associate. Task: craft a follow-up reply for abandoned cart. Context: cart_items [items], total [amount], customer_segment [segment], urgency [urgency]. Output format: friendly reminder, persuasive incentive, and next steps to complete checkout.
21. Repeat customer welcome: You are a welcome bot. Task: greet a returning customer. Context: customer_id [id], previous_orders [orders], loyalty_points [points]. Output format: personalized thank-you, recap of loyalty benefits, and an offer to assist with current needs.
22. Multilingual greeting: You are a multilingual support agent. Task: greet a customer in their preferred language. Context: language [lang], order_number [order_number], product [product]. Output format: friendly greeting in [lang], offer help, and prompt for preferred contact method.
23. Damaged packaging reply: You are a customer service agent. Task: respond to damaged packaging. Context: order_number [order_number], photos attached [photos], item [item_name], severity [severity]. Output format: apology, replacement or refund options, and shipping label if needed.
24. Subscription renewal reminder: You are a subscription support specialist. Task: notify about renewal. Context: subscription_id [id], next_billing_date [date], amount [amount], cancellation window [window]. Output format: reminder, link to manage, and offer to update plan.
25. Cross-sell suggestion: You are a sales-oriented support agent. Task: upsell relevant accessory. Context: product [main_product], customer_history [history], budget [budget]. Output format: suggest top 2 accessories with justification, pricing, and benefit. Constraints: keep it helpful, not pushy.
26. Order status summary: You are an order specialist. Task: summarize order status. Context: order_number [order_number], events [events], estimated_delivery [est_delivery]. Output format: concise status line, link to tracking, and what to expect next.
27. Free shipping incentive: You are a promotions agent. Task: offer free shipping threshold reminder. Context: cart_total [total], threshold [threshold], location [location]. Output format: friendly reminder, suggest how to reach threshold, and any exclusions.
28. Product recommendation: You are a product advisor. Task: recommend a product variant. Context: customer needs [needs], budget [budget], preferred features [features], past purchases [past]. Output format: 2 concrete recommendations with reasons, including stock status and price.
29. Replacement tracking update: You are a returns specialist. Task: provide replacement shipment status. Context: replacement_order [r_order], carrier [carrier], tracking [tracking], ETA [eta]. Output format: current status, ETA, and what customer should do if delayed.
30. Hold due to verification: You are a verification agent. Task: inform customer about hold for verification. Context: order_number [order_number], reason [reason], required_docs [docs]. Output format: explain hold reason, list documents, provide timeline, and next steps.
31. Clear return window policy: You are a policy explainer. Task: explain return window for a customer. Context: product [product], order_number [order_number], policy_section [section]. Output format: simple policy summary, steps to initiate return, and contact for questions.
32. Custom invoice preference: You are an billing assistant. Task: customize invoice details. Context: customer [name], order_number [order_number], required_fields [fields], currency [currency]. Output format: generate invoice snippet with requested fields and clear formatting.
33. Digital product support: You are a digital goods specialist. Task: assist with access issues. Context: product [product], license_key [license], platform [platform], issue [issue]. Output format: steps to regain access, troubleshooting, and escalation path if unresolved.
34. Gift card balance check: You are a gift card agent. Task: check balance. Context: card_number [card], pin [pin], customer_email [email]. Output format: current balance, last 4 digits, and how to reload or redeem.
35. Refund processing confirmation: You are a finance-focused support agent. Task: confirm refund. Context: order_number [order_number], amount [amount], method [method], processing_time [time]. Output format: clear refund confirmation, expected posting date, and notification method.
36. Order comment capture: You are a support agent. Task: capture customer comments for order. Context: order_number [order_number], comment [comment], date [date]. Output format: log comment, summarize impact on the order, and acknowledge receipt.
37. Order week follow-up: You are a proactive checkout assistant. Task: follow up after a week with no update. Context: order_number [order_number], last_contact [contact], status [status]. Output format: friendly check-in, updated ETA, and offer help.
38. Installment plan inquiry: You are a finance coordinator. Task: respond to installment offer inquiry. Context: product [product], total [total], installments [installments], customer_credit [credit]. Output format: explain options, monthly payment, terms, and how to apply.
39. Interrupted checkout recovery: You are a cart recovery agent. Task: recover interrupted checkout. Context: cart_items [items], total [total], customer_contact [contact]. Output format: concise, compelling reminder, add incentive if appropriate, and direct link to resume.
40. Customer feedback request: You are a customer insights agent. Task: request feedback after purchase. Context: order_number [order_number], product [product], experience [experience]. Output format: polite request, 3-5 star scale, and option to leave detailed comments.
41. Account upgrade offer: You are a loyalty manager. Task: propose account upgrade. Context: customer_id [id], usage [usage], benefits [benefits], budget [budget]. Output format: outline enhanced support, new perks, and a no-pressure call to action.
42. Return shipping label help: You are a returns assistant. Task: help with return shipping label. Context: order_number [order_number], carrier [carrier], weight [weight], label_link [link]. Output format: provide label, confirm return window, and label usage instructions.
43. Product compatibility check: You are a product expert. Task: verify compatibility for a requested product. Context: item [item], other_items [others], system [system]. Output format: compatibility matrix, potential issues, and recommended alternatives.
44. Service downtimes notice: You are a tech support agent. Task: notify customer of service downtime. Context: service [service], window [window], impact [impact], workaround [workaround]. Output format: clear downtime message, ETA for fix, and support contact.
45. SLA-compliant reply: You are a professional CS agent. Task: reply to a SLA breach notice. Context: incident [incident], impact [impact], requested resolution [resolution]. Output format: acknowledge, current status, steps to resolve, and expected completion.
46. Language pulse reply: You are a tone-conscious agent. Task: respond with concise, brand-consistent language. Context: customer tone [tone], urgency [urgency], policy reference [policy]. Output format: brief, friendly response maintaining voice guidelines.
47. Troubleshooting guide: You are a product support engineer. Task: guide customer through troubleshooting. Context: device [device], version [version], issue [issue], steps attempted [attempts]. Output format: step-by-step checklist, expected outcomes, and when to escalate.
48. Security incident reply: You are a security-focused agent. Task: respond to a suspected security incident. Context: account_email [email], incident_details [details], requested action [action]. Output format: reassurance, steps taken, and additional security measures.
49. Cross-border shipping note: You are a logistics agent. Task: inform customer about cross-border shipping. Context: destination [destination], duties_paid [duties], estimated_time [eta], carrier [carrier]. Output format: clear explanation of duties, delivery timeline, and any required documents.
50. Eco-friendly packaging promise: You are a brand advocate. Task: reply highlighting sustainable packaging. Context: order_number [order_number], packaging_type [type], customer values [values]. Output format: brief sustainability note, any recycling steps, and related product info.
51. VIP support assignment: You are a concierge agent. Task: assign VIP support. Context: customer_id [id], status [status], preferred_contact [contact]. Output format: confirm dedicated agent, contact channel, and response SLA.
52. Product usage tip: You are a customer education specialist. Task: share a practical usage tip. Context: product [product], feature [feature], user_goal [goal]. Output format: one concise tip with steps and a quick example.
53. Charge dispute handling: You are a billing specialist. Task: handle a credit card charge dispute. Context: order_number [order_number], amount [amount], reason [reason], documentation [docs]. Output format: summary of dispute, required documents, and resolution timeline.
54. Back-in-stock alert opt-in: You are a marketing-support agent. Task: opt customer into alerts. Context: product [product], customer_email [email], preferred_contact [contact]. Output format: confirm opt-in, notification method, and expected restock date.
55. Customer testimonial request: You are a community manager. Task: request a testimonial. Context: order_number [order_number], product [product], experience [experience], consent [consent]. Output format: polite request, provide how to submit, and offer incentive if allowed.
56. Return reason validation: You are a returns validator. Task: confirm return reason. Context: item [item], reason [reason], policy [policy]. Output format: validate reason against policy, provide next steps, and ask for any supporting photos.
57. Customs clearance help: You are a logistics specialist. Task: assist with customs. Context: destination [dest], item [item], HS code [code], documents [docs]. Output format: required documents list, duties info, and who to contact for questions.
58. Promo code troubleshooting: You are a promotions expert. Task: troubleshoot promo code issues. Context: code [code], cart_total [total], restrictions [restrictions], user_role [role]. Output format: verify code validity, resolve conflicts, and provide alternative offer.
59. Accessibility friendly reply: You are a customer service agent. Task: craft accessible reply. Context: assistive_requirements [requirements], order_number [order_number], product [product]. Output format: plain language reply, short sentences, and alternatives for assistive tech.
60. Multi-channel response: You are an omnichannel agent. Task: respond identically across channels. Context: channel [channel], message [message], customer_vibe [vibe]. Output format: one consistent reply suitable for email, chat, and social, with channel-adapted length.
61. Partial shipment notification: You are a logistics clerk. Task: notify partial shipment. Context: order_number [order_number], items_shipped [shipped], items_pending [pending], new_eta [eta]. Output format: clear notification, tracking links, and action steps for rest of order.
62. Order accuracy check: You are a quality control agent. Task: verify order accuracy. Context: order_number [order_number], items [items], discrepancies [discrepancies]. Output format: confirm accuracy, outline correction steps, and provide shipping labels if needed.
63. Product care guidance: You are a product educator. Task: provide care instructions. Context: product [product], material [material], usage tips [tips]. Output format: step-by-step care guide and common pitfalls to avoid.
64. Customer win-back: You are a re-engagement specialist. Task: win back inactive customer. Context: last_purchase [purchase], reason_for_leave [reason], preferred_contact [contact]. Output format: personalized message, offer value, and call to action.
65. Checkout error fix: You are a checkout tech agent. Task: fix a checkout error. Context: error_code [code], browser [browser], device [device], steps_taken [steps]. Output format: reproduce issue, provide fix, and request permission to collect diagnostics.
66. Seasonal bundle offer: You are a promotions creator. Task: present seasonal bundle. Context: products [products], price [price], savings [savings], availability [avail]. Output format: bundle description, savings calculation, and how to add to cart.
67. Privacy policy reassurance: You are a trust-builder agent. Task: reassure about privacy. Context: data_types [types], usage_purpose [purpose], policy_section [section]. Output format: concise privacy reassurance, key protections, and contact for questions.
68. Order modification offer: You are a support agent. Task: offer order modification before shipment. Context: order_number [order_number], modification_type [type], deadline [deadline]. Output format: list allowed changes, any fees, and how to request.
69. Product recall notice: You are a safety-focused agent. Task: communicate product recall. Context: product [product], batch [batch], safety_risk [risk], replacement policy [policy]. Output format: clear recall explanation, steps to return, and replacement options.
70. Survey participation prompt: You are a customer insight agent. Task: invite survey participation. Context: customer [customer], experience [experience], incentive [incentive]. Output format: brief invitation, link to survey, and assurance of privacy.
71. Account deletion readiness: You are a data rights agent. Task: prepare account deletion confirmation. Context: account_email [email], reason [reason], data_export_requested [export]. Output format: confirm deletion plan, data export steps, and final confirmation timeline.
72. Gift wrap add-on: You are a gift service rep. Task: add gift wrap option. Context: order_number [order_number], gift_message [message], wrap_options [wrap]. Output format: confirm selection, pricing, and delivery impact.
73. Sustainability tip: You are a brand storyteller. Task: share a sustainability tip about products. Context: product [product], materials [materials], impact [impact]. Output format: one practical tip with a quick calculation of impact.
74. Repair guidance: You are a repair advisor. Task: guide basic repair steps. Context: product [product], issue [issue], tools_available [tools]. Output format: step-by-step repair guide, safety notes, and escalation when needed.
75. Account merge help: You are a support agent. Task: assist with account merge. Context: accounts [accounts], data_overlap [overlap], consent [consent]. Output format: merge steps, data checks, and conflict resolution.
76. Wholesale inquiry reply: You are a wholesale assistant. Task: respond to wholesale inquiry. Context: business [business], volume [volume], terms [terms], contact [contact]. Output format: wholesale offer, required docs, and next steps.
77. Product comparison summary: You are a product educator. Task: provide quick product comparison. Context: item_a [a], item_b [b], metrics [metrics], customer_need [need]. Output format: table-like text with pros/cons and recommendation.
78. Order salvage after outage: You are a recovery agent. Task: salvage orders after system outage. Context: orders [orders], outage_start [start], outage_end [end], customer_contact [contact]. Output format: list of affected orders, remediation steps, and compensation if applicable.
79. Return deadline reminder: You are a returns agent. Task: remind about return deadline. Context: order_number [order_number], deadline [deadline], items [items]. Output format: polite reminder, consequences of late return, and how to proceed.
80. Custom branding note: You are a branding agent. Task: add a custom branding note to an order. Context: order [order], note [note], brand_guidelines [guidelines]. Output format: confirmation of branding addition, visibility in packaging, and any limitations.
81. End-of-day closure: You are a support lead. Task: provide end-of-day status for a ticket. Context: ticket_id [ticket], status [status], next_steps [steps]. Output format: concise status line, owners, and due date.
82. Exchange policy clarity: You are a policy explainer. Task: clarify exchange policy. Context: item [item], reason [reason], time_since_purchase [time]. Output format: clear policy summary, steps to exchange, and exceptions.
83. Accessibility-friendly refund: You are an inclusive support agent. Task: deliver refund details accessibly. Context: order_number [order_number], amount [amount], accessibility_needs [needs]. Output format: concise refund info, alternative formats, and support contact.
84. Ship-to-change authorization: You are a shipping agent. Task: authorize shipping address change after shipment. Context: order_number [order_number], current_address [address], new_address [new_address], carrier [carrier]. Output format: approval or denial with rationale, and next steps.
85. Product care checklist: You are a product expert. Task: provide a care checklist. Context: product [product], usage_context [context], maintenance_cycles [cycles]. Output format: 6-8 bullet items with care steps and warnings.
86. Return label missing: You are a returns agent. Task: handle missing return label. Context: order_number [order_number], carrier [carrier], contact [contact]. Output format: provide label link, verify eligibility, and timeline.
87. Holiday shipping note: You are a logistics specialist. Task: communicate holiday shipping constraints. Context: destination [dest], holiday_schedule [schedule], deadlines [deadlines]. Output format: clear timeline, recommended ordering window, and any surcharges.
88. Product eligibility info: You are a product specialist. Task: explain eligibility for a product promotion. Context: product [product], promotion [promo], eligibility_criteria [criteria]. Output format: simple eligibility checklist and required documents.
89. Survey data privacy: You are a privacy-minded agent. Task: reassure about survey data. Context: data_collected [data], purpose [purpose], retention [retention]. Output format: privacy-friendly explanation and opt-out option.
90. Lightning-fast apology: You are a brief apology bot. Task: issue a fast apology for a minor issue. Context: issue [issue], impact [impact], customer [customer]. Output format: one-sentence apology, resolution step, and offer to assist further.
91. SLA-driven escalation: You are an SLA-focused agent. Task: escalate to meet SLA. Context: incident [incident], target_SLA [sla], current_status [status]. Output format: escalation plan with milestones and owner.
92. Analytics data share: You are a data-savvy agent. Task: share order analytics. Context: date_range [range], metrics [metrics], recipient [recipient]. Output format: list of metrics, data format, and delivery method.
93. Warranty extension offer: You are a warranty manager. Task: offer extended warranty. Context: product [product], current_warranty [warranty], price [price], benefit [benefit]. Output format: extend warranty terms, price, and how to purchase.
94. Order consolidation option: You are a logistics advisor. Task: propose order consolidation. Context: orders [orders], destination [destination], savings [savings]. Output format: explain consolidation benefits, potential delays, and how to proceed.
95. Excellent issue resolution: You are a problem solver. Task: resolve a complex customer issue. Context: issue_summary [summary], steps_taken [steps], remaining_risks [risks]. Output format: clear resolution statement, next steps, and preventive action.
96. Customer security tips: You are a security coach. Task: share customer security tips. Context: account [account], threats [threats], best_practices [practices]. Output format: 6 practical tips with quick actions.
97. Pending settlement update: You are a finance liaison. Task: update on pending settlement. Context: case_id [id], status [status], expected_date [date]. Output format: current status, expected settlement date, and contact for questions.
98. Product import guidance: You are a product importer. Task: guide customer through import process. Context: product [product], country [country], duties [duties]. Output format: step-by-step process, required docs, and timelines.
99. Return policy discrepancy: You are a policy clarifier. Task: address discrepancy in policy. Context: cited_policy [policy], customer_claim [claim], section [section]. Output format: corrected summary, where to find policy, and how to proceed.
100. Closeout thank-you note: You are a gratitude agent. Task: close a support interaction. Context: ticket_id [id], actions_taken [actions], customer_name [name]. Output format: warm closing message, invitation to return, and contact for future help.

Best Practices

• Keep prompts concise but specific to the customer situation to improve accuracy.
• Reuse prompts with minor data substitutions to maintain consistency across agents.
• Always include clear next steps and a resolution time estimate in every reply.
• Log responses in a shared knowledge base to improve future replies and audits.
• Incorporate safety and privacy considerations, avoiding sensitive data in prompts.

Common Mistakes to Avoid

• Using open-ended language that invites unnecessary back-and-forth.
• Forgetting to personalize the reply with order data or customer history.
• Overpromising delivery times or refunds beyond policy.
• Neglecting to include a clear next step or contact method.
• Using a tone that clashes with brand voice or customer sentiment.

FAQ

What is the best way to start a customer service reply for Shopify stores?

Begin with empathy, acknowledge the issue, and state the proposed next step, then provide any required policy reference succinctly.

How can I ensure responses stay on-brand across prompts?

Use a consistent tone, cite policy where relevant, and tailor the language to your brand voice in each reply.

How do I handle refunds quickly with Claude prompts?

Choose a refund-related prompt, specify order details, payment method, and expected processing time in the output.

Can prompts handle multiple issues in one reply?

Yes, select prompts that cover combined issues; structure the reply with issue-specific sections and a unified closing.

How do I verify data placeholders before sending?

Cross-check order_number, product_name, and policy references against your CRM and ERP systems for accuracy.

Are 100 prompts enough for ongoing Shopify support?

Yes, they cover common scenarios; you can mix and adapt them as needed for new cases.