Deals don't die from the objection said loudly — they die from the one never said out loud. This turns objection handling into a repeatable sales asset: diagnose what "too expensive" or "let me think about it" really means (price, authority, need, trust, timing, competitor, or inertia), build acknowledge-then-advance responses that move the deal forward, and surface blockers in discovery so they never blow up at the close.
Turn each new buyer objection and your real product facts into three channel-ready replies, a diagnosis, proof gaps, one follow-up question, and a claim-by-claim honesty check.
Paste a refund demand, chargeback, or Amazon A-to-z claim and get a firm, professional, policy-grounded response in 5 minutes. It assesses the case first — and says honestly when folding is smarter — then picks a strategy (deny, partial, replacement, or resolve), writes the rebuttal, and lists the evidence to attach. Shaped to Amazon, eBay, Etsy, Shopify, PayPal, or Stripe. Account-health aware. No access — you paste, you submit.
Studied hundreds of negative review cycles across Yelp, Google, TripAdvisor, and app stores. The pattern: most responses make things worse — defensive, generic, or copy-pasted. This skill applies the de-escalation and reputation management framework that actually works: acknowledge specifically, take responsibility without groveling, offer a clear path forward.
Draft chargeback dispute letters matched to the exact reason code and formatted for your payment processor.
Drop any Amazon review and get 3 strategically different reply versions — Apology-First, Solution-First, and Stand-Firm — each checked against Seller Central TOS, customer psychology, and how future buyers will read your response. Includes TOS compliance flags, buyer diagnosis, and a Public Perception Score predicting brand impact. 5 minutes of clarity for FBA sellers, VAs, and reputation managers staring at a 1-star review.
Turn returns, refunds, exchanges, and denials from improvised support into a fair, documented, analyzable SOP. Check eligibility before promising anything, flag fraud/abuse signals without accusing the customer, respond with empathy-led scripts, decide approve/deny/exchange consistently (with every exception logged), and feed return-reason analytics back into listing, quality, sizing, and logistics fixes — across Amazon, Shopee, Lazada, and Shopify rules.
Your agent reads user-pasted text, web pages, retrieved docs, or tool output — and you can't tell which sentence an attacker wrote. A one-line "ignore malicious instructions" never held. This delivers a layered injection-defense design: threat model, attack-surface map, input/privilege/output defenses, canary tokens and a classifier, an adversarial red-team set with before/after, and residual risk plus an incident runbook.