ssl-2026-shared

Cluster recent low-star reviews by theme for one SKU and update the SKU page's 1-star theme tracker block. Run from vault root with /onestar-themes {ASIN} --since=90d.

Generate a restock decision draft for a SKU using velocity, lead time, MOQ, and cash position. Run from vault root with /restock-memo {ASIN} --weeks=12. Writes a draft to wiki/decisions/ for sign-off, never submits a PO.

Audit a single SKU's health (CM3, ad efficiency, review velocity, listing drift). Run from the vault root with /sku-audit {ASIN}. Pulls live SP-API data if mcp-amazon is wired, otherwise reads SKU page frontmatter. Updates the SKU page with a dated audit block.

Build the Weekly Business Review across all active SKUs and channels. Run from vault root with /wbr --week=YYYY-Wxx. Writes a new daily/wbr-YYYY-Wxx.md from the wbr template.

Generate ad creative variations across formats (UGC, TV spot, Wild Card) for an Amazon product using Higgsfield Ad Engine. Replaces a $5K/mo agency retainer per Higgsfield's positioning. Use when running `ad-creative-batch {ASIN}` or when building Sponsored Brand Video / external traffic ad campaigns.

Validate Amazon A+ Premium content scannability by running a ProductPinion Pinion Video on the A+ section URL — shoppers view the A+ and answer comprehension questions. Validates the "scannable in 15-20 seconds" rule from `02-visual-content/a-plus-content.md`. Use when running `aplus-comprehension {ASIN}` or after launching new A+ content.

Generate the 5-7 vertical A+ Premium modules for an Amazon listing — Higgsfield image generation + structured layout following the two-half architecture (top half capture & convert, bottom half visual FAQ). Use when running `aplus-module-generator {ASIN}` or when planning A+ Premium content that follows Keplo's methodology.

Full A+ Premium build pipeline — research brief → 7 module designs (Higgsfield) → 1 hero video (Higgsfield Veo/Sora) → comprehension test (ProductPinion video) → designer-ready output. Use when running `aplus-premium-build {ASIN}` for brands eligible for A+ Premium and willing to invest in cinema-quality assets.

One-shot ASIN research package using SellerApp via n8n MCP. Pulls product details, reviews (1-5★ with sentiment), Rufus queries, reverse ASIN keywords, competitor SERP, LQI score, and BSR history into a pre-filled CRO Research Brief. Use when starting any new ASIN engagement, before content planning, or when running `asin-deep-research {ASIN}`. Replaces 3-4 hours of manual data pulling.

Build and save a reusable ProductPinion Custom Audience for an Amazon brand. One-time setup per brand — saves 10-15 minutes per future poll/video test. Use when running `audience-builder {brand-slug}` for new CRO clients, before launching the first ProductPinion test for that brand.

Quarterly orchestrator that combines signals from `competitor-watch`, `review-sentiment-shift`, `portfolio-lqi-watch`, and `keyword-rank-tracker` to flag which ASINs need a `quarterly-listing-refresh`. Use when running `auto-refresh-trigger {client}` at start of each quarter, or as scheduled task.

Run a ProductPinion Pinion Video using the Competitor Research Test template — share a SERP and have shoppers narrate why they click certain competitors over others. Use when running `competitor-research-video {keyword|ASIN}` or when planning differentiation strategy backed by recorded shopper reasoning.

Top-10 Amazon competitor matrix for an ASIN or keyword. Pulls SERP via SellerApp n8n MCP, then enriches each competitor with product details, BSR, ratings, image counts, LQI score. Identifies table stakes (every competitor shows X), quality benchmarks (you must match), and differentiation gaps (no competitor owns this signal). Use when running `competitor-sweep {ASIN|keyword}`, when planning the main image, or when building a SERP-attack content plan.

Weekly snapshot of top competitor ASINs — listing changes, BSR shifts, review velocity changes, new SERP entrants. Pulls SellerApp data and diffs vs prior week. Use when running `competitor-watch {portfolio}` weekly via `/loop weekly`. Companion to the existing `competitor-tracker` agent (this is the skill-level wrapper).

Run a ProductPinion Text Split Test on 3-5 title or first-bullet variations to find which copy drives clicks/comprehension before launching to Amazon MYE. Use when running `copy-split-test {ASIN}` or when copy variations need shopper validation.

End-to-end CVR-leak fix pipeline. Detects keyword × visual coverage gaps via SellerApp, generates the missing visual via Higgsfield, validates with ProductPinion poll, outputs ship-ready slot. Use when running `cvr-leak-fix {ASIN}` or when CVR is below category average and you need a single-slot intervention. Closes the loop from diagnosis to ship-ready in one pipeline.

Generate cinematic Amazon A+ Premium hero video using Higgsfield Veo 3.1 / Sora 2 / Cinema Studio. Use when running `hero-video-builder {ASIN}` or when A+ Premium needs a top-of-page hero video that's higher production than UGC.

Build Amazon listing infographics for slots 2-7 — Higgsfield-generated photography with overlay callouts following the 70%-photo / 3-5 callouts / 24pt+ / 3-6 word callouts design rules. Use when running `infographic-builder {ASIN} --slot={N} --benefit="{benefit}"` or when a slot needs to communicate a benefit + features with text overlay.

Find Amazon keywords where shoppers search for a benefit your listing doesn't visually demonstrate. Cross-references Reverse ASIN keywords (high search volume) with review-mined drivers (what customers actually buy for) — flagging mismatches as CVR leaks. Use when running `keyword-cvr-leak {ASIN}`, when CVR is below category average, or when planning the listing image stack.

Schedule daily/weekly keyword rank tracking for an Amazon ASIN portfolio via SellerApp n8n MCP. Up to 150 keywords × 150 ASINs per request. Outputs ranked-position changes, indexing checks, and movers report. Use when running `keyword-rank-tracker {ASIN list}`, when monitoring SEO impact of listing changes, or when client wants ongoing rank visibility.

Generate demographically-accurate lifestyle photography for Amazon listing slots 2-7 using Higgsfield. Pulls customer demographic from review-mined photo evidence, optionally trains a Soul Character for cross-slot consistency, then generates 6 lifestyle/use-case images. Use when running `lifestyle-stack-generator {ASIN}` or when the listing image stack needs people-in-context photography.

Stage your Amazon listing vs top 2-3 competitors on a ProductPinion Amazon Search Simulation, get real shoppers to pick favorites + explain why. Use when running `listing-battle {ASIN}`, when evaluating competitive positioning before SERP-attack, or when client wants direct head-to-head shopper data.

Pre-launch validation bundle for a new Amazon product — competitor audit + 5 main image concepts + 3 title variants + price sensitivity test + comprehension test, all in one pipeline. Use when running `listing-launch-pack {ASIN-or-product-spec}` for a brand-new ASIN before going live, or when revamping an existing listing for a major repositioning.

Run a ProductPinion Pinion Video using the Listing Optimization Test template — shoppers narrate what's confusing, unclear, or missing on your Amazon listing. Use when running `listing-optimization-video {ASIN}` or when you need recorded user-comprehension feedback before designing fixes.

Run SellerApp's Listing Quality Index (LQI) across an ASIN portfolio (up to 100 ASINs per request) to surface section-level issues — title, bullets, description, images, videos, Q&A, ratings, reviews. Outputs a triage list ranked by lowest score. Use when running `listing-quality-audit {ASIN1,ASIN2,...}`, when onboarding a new client (LQI sweep across catalog), or when picking which ASINs need urgent fixes.

Generate 5-10 Amazon main image concepts for an ASIN using Higgsfield AI image generation. Defaults to GPT Image (latest) and Nano Banana Pro — best-quality only. Each concept is scored against the 6-dimension main image rubric (Fidelity, Background, Scroll-Stop, Compliance, Creative, Quality). Use when running `main-image-concepts {ASIN}`, when you need standalone main image ideation without polling, or as a sub-step of `main-image-pipeline`.

Run the same Amazon main image prompt across multiple Higgsfield models (GPT Image, Nano Banana Pro, Flux, Soul, Seedream) for side-by-side comparison. Use when running `main-image-multi-model {ASIN}` or when client/team explicitly wants to evaluate model output differences. Default workflow uses best-only single model — use this skill to override.

End-to-end main image optimization pipeline — the flagship CRO play. Pulls SellerApp competitor SERP, generates 8 main image concepts via Higgsfield (GPT Image / Nano Banana Pro), runs a 3-second billboard test on top 3 via ProductPinion, then runs a final Image Split Test to declare a winner. Use when running `main-image-pipeline {ASIN}` or when an ASIN has a CTR problem (low CTR vs category index). Replaces the 3-week external designer cycle with a same-day-to-3-days pipeline.

Validate 2-5 Amazon main image variations with real shoppers via ProductPinion before paying for Manage Your Experiments. Runs an Image Split Test with target audience targeting, returns the winner plus the qualitative "why" from shoppers. Use when running `main-image-poll {ASIN}`, when you have main image candidates that need pre-MYE validation, or as a sub-step of `main-image-pipeline`.

Side-by-side visual diff of your Amazon main image thumbnail vs the top 9 SERP competitors. Pulls SERP via SellerApp n8n MCP, downloads thumbnails, builds a 10-up grid view, then identifies the visual cluster pattern (what 7+ thumbnails look like) and your scroll-stop opportunity. Use when running `main-image-thumbnail-audit {ASIN|keyword}` or before generating new main image concepts.

Pipeline that mines top objections from reviews + ProductPinion video, generates preempting visuals via Higgsfield, validates with shopper test, then refreshes A+ FAQ section. Use when running `objection-killer {ASIN}` or when 1-3★ reviews surface a recurring objection that needs to be preempted in the listing.

Run a ProductPinion Pinion Video using the Objection Test template — shoppers view the listing and answer "would you buy this? why/why not?" out loud. Surfaces hidden objections that text-based reviews don't always reveal. Use when running `objection-video {ASIN}`, when CVR is below category average, or as a sub-step of `objection-killer`.

Generate Amazon packaging mockup variations for split testing — Sunspot Packaging Test™, Open Package Test™, Back Packaging Test, Brand Name Test variations using Higgsfield Flux Kontext / Nano Banana. Use when running `packaging-mockup {ASIN} --variant={test-type}` or when running ProductPinion pre-defined templates that need packaging variations.

Monthly portfolio-wide LQI sweep with diff against prior month — detects which ASINs improved, stagnated, or regressed in listing quality. Use when running `portfolio-lqi-watch {client}` monthly via `/loop monthly` or as part of CRO Partner Program monthly review.

Run a ProductPinion Pinion Ask Price Sensitivity test to determine PMC (Point of Marginal Cheapness), PME (Point of Marginal Expensiveness), OPP (Optimal Price Point), and Acceptable Price Range for an Amazon product. Use when running `price-sensitivity {ASIN}`, when launching a new product, or when considering a repricing decision.

Re-run Amazon profit calculation when BSR or competitor pricing shifts trigger a margin review. Uses SellerApp Profit Calculator to estimate referral fees, FBA fees, variable closing fees at proposed price. Use when running `profit-recalc-on-change {ASIN}`, when planning a repricing decision, or as a sub-step of pricing pipelines.

Quarterly check-in pipeline for an Amazon ASIN — re-runs review mining, detects sentiment shifts, generates 3 refresh concepts, polls them with shoppers, and recommends a single test to launch. Use when running `quarterly-listing-refresh {ASIN}` every 90 days for active CRO clients to catch listing decay.

Run a ProductPinion Ranked Test (3-6 options) to discover which benefits, use cases, or features shoppers prioritize most. Use when running `ranked-priorities {ASIN} --options=...` to inform main image messaging, top bullet positioning, or A+ module ordering.

Deep review extraction for an Amazon ASIN. Pulls multi-page reviews (1★/3★/5★ + recent verified) via SellerApp n8n MCP, then decomposes them into purchase drivers, objections, surprises, recurring questions, comparison mentions, and photo references — each tagged by frequency. Use when running `review-mining {ASIN}`, when an existing brief needs deeper review evidence, or when surfacing objections for a CVR-leak fix.

Weekly diff of review sentiment baseline for an Amazon ASIN — detects when 4-5★ themes regress or 1-3★ themes accelerate. Use when running `review-sentiment-shift {ASIN}` weekly via `/loop weekly`. Companion to `review-velocity-monitor` (which tracks count/rating); this tracks theme shifts.