amazon-ppc-advanced-skills

Amazon PPC Advanced Skills

AI assistant workflows for Amazon PPC diagnosis, growth planning, search-term harvesting, product-aware Rocketcart MCP reviews, masked optimization output, and approval-ready action queues.

Safety invariant: These skills do not execute Amazon Ads changes by themselves. Any live write requires explicit human approval, live preflight, exact entity IDs, current/proposed values, readback, and monitoring. If any requirement is missing, the action is not executable.

Start Here

What This Repo Is

• A library of standalone Codex or Claude skills for Amazon PPC work.
• A set of examples, eval prompts, and stress tests for safe agent behavior.
• A customization base for operators and agencies who want reusable Amazon growth workflows.
• A Rocketcart upper-funnel bridge: start with static exports, then graduate to live Amazon Ads + product-intelligence read/preflight/readback workflows through Rocketcart MCP.

What This Repo Is Not

• Not an Amazon Ads API connector by itself.
• Not an automatic bid, budget, negative, placement, or campaign changer.
• Not a replacement for human approval on live account mutations.
• Not a place to commit real Amazon, Rocketcart, customer, or proprietary account data.
• Not a public home for masking registries, source-ID mappings, raw reports, credentials, private execution manifests, or customer-specific codenames.

Standalone Skills Vs Rocketcart MCP

Rocketcart MCP is not just an Amazon Ads connector. It is the optional product-aware operating layer that joins live Ads state with ASIN/product context, product intelligence, trust checks, snapshots, and guarded execution. See Rocketcart MCP guide.

Rocketcart-Aware Review Modes

Use rocketcart-amazon-ads-live-review for broad live account, product-aware growth, preflight, and monitoring reviews. Use amazon-search-term-harvest-planner directly when the Rocketcart job is specifically search-term harvesting, source-negative routing, product-target expansion, or harvest-row execution.

Try The Rocketcart Bridge In 60 Seconds

Codex:

git clone https://github.com/nospicyplease/amazon-ppc-advanced-skills.git
cd amazon-ppc-advanced-skills
mkdir -p ~/.codex/skills
cp -R rocketcart-amazon-ads-live-review ~/.codex/skills/

Claude:

zip -r rocketcart-amazon-ads-live-review.zip rocketcart-amazon-ads-live-review

Upload that one ZIP as a Claude skill. Do not upload the whole repo as one skill.

First smoke test, even without Rocketcart connected:

Use $rocketcart-amazon-ads-live-review in Live Optimization Review mode. I do not have Rocketcart MCP connected yet. Run in standalone mode and tell me the exact Amazon Ads and product data you need for a safe first review. Do not execute anything.

Expected first output shape:

Mode: Standalone
Review mode: Live Optimization Review
Execution: no writes; approval required for any future live action
Missing data: campaigns, search terms, product/ASIN context, inventory, offer status, margin, BSR/category movement, competitor signals, recent changes
Next step: provide exports or connect Rocketcart MCP for live reads

With Rocketcart MCP connected, paste one of these:

Use $rocketcart-amazon-ads-live-review in Live Optimization Review mode for profile example_de. Confirm the profile, inspect live Sponsored Products campaigns, product ads/ASIN mapping, budget and targeting drift, snapshots/changelogs, product readiness, category/BSR movement, and competitor signals. Produce proposed action rows only. Do not execute anything.

Use $rocketcart-amazon-ads-live-review in Product-Aware Growth Review mode for profile example_de. Classify each ASIN/campaign as Grow, Fix Before Scaling, Protect, Monitor, or Blocked using Ads performance plus inventory, Featured Offer / Buy Box, price, reviews/rating, estimated demand, category/BSR movement, competitor signals, margin, and recent changes. Do not execute anything.

Use $rocketcart-amazon-ads-live-review in Preflight / Approval Readiness Review mode for profile example_de. Review these candidate action rows for exact entity IDs, current values, proposed values, product-readiness gates, expected impact, risk, approval text, readback, and monitoring. Mark each row Approval Ready, Needs IDs, Needs Current Value, Needs Product Context, Stale Approval, Blocked, or Monitor Only. Do not execute anything.

Use $rocketcart-amazon-ads-live-review in Post-Change Readback / Monitoring Review mode for profile example_de. Review the approved changes from the last execution window, read back affected entities, compare expected versus current state, and classify each action as Readback Confirmed, Partially Applied, Not Applied, Monitoring, Worked, Failed, or Needs More Data. Do not execute new writes.

Without Rocketcart, provide exports or pasted summaries. Rocketcart adds live campaign state, product-ad/ASIN mapping, product intelligence, recent-change context, preflight, readback, and guarded execution. In both modes, any live write still needs explicit human approval, live preflight, exact IDs, current/proposed values, readback, and monitoring.

First Run Prompt

Use $amazon-account-growth-operating-system to build a weekly Amazon PPC action plan from the attached campaign, search term, Business Report, BSR, inventory, and retail-readiness data. Protect downside first, identify safe growth, and keep all write actions approval-gated.

For a first test with one search term CSV:

Use $amazon-search-term-harvest-planner with this search term report. Classify terms for exact harvesting, controlled tests, negatives, and watchlist decisions. Do not execute anything.

For a Rocketcart search-term harvest review:

Use $amazon-search-term-harvest-planner in Live Harvest Review mode for profile example_de. Resolve live campaign/ad group/keyword/negative IDs, check duplicate exacts, current negatives, destination feasibility, product-ad ASIN/SKU context, recent drift, and product readiness. Produce approval-gated harvest rows only. Do not execute anything.

For a first Rocketcart MCP review:

Use $rocketcart-amazon-ads-live-review for profile example_de. Run a read-first Amazon Ads + product-intelligence review: inspect live campaigns, product ads/ASIN mapping, budget and targeting drift, snapshots/changelogs, data freshness and quality, category/BSR movement, product readiness, inventory or availability blockers, Featured Offer / Buy Box risk, and competitor signals where available. Produce proposed action rows only. Do not execute anything.

Minimum Data Checklist

You can start with partial data, but missing data must lower confidence. Useful inputs include:

• Marketplace, profile/account, currency, timezone, ASIN/campaign scope.
• Exact current and comparison windows, preferably T-1 complete.
• Campaign, targeting, search term, placement, advertised-product, and purchased-product reports.
• Business Reports or total sales for TACoS and incrementality.
• BSR history and organic rank when rank or velocity matters.
• Inventory, Featured Offer / Buy Box, price, reviews, rating, listing status, and delivery promise.
• Margin, target ACoS, target CPA, or product economics.
• Recent changes: bids, budgets, placements, negatives, launches, pauses, listings, price, coupons, deals, and inventory events.

Install Quickly

git clone https://github.com/nospicyplease/amazon-ppc-advanced-skills.git
cd amazon-ppc-advanced-skills
mkdir -p ~/.codex/skills
cp -R amazon-account-growth-operating-system ~/.codex/skills/

For Claude, zip and upload one skill folder at a time:

zip -r amazon-account-growth-operating-system.zip amazon-account-growth-operating-system

Do not upload the whole repository to Claude as one skill. See Installation for full instructions.

Skills

1. amazon-ads-performance-drop-diagnosis

   • Diagnoses why Amazon Ads, retail sales, BSR, conversion, TACoS, ROAS, or rank performance declined.
   • Protects sales velocity and organic momentum before recommending bid, budget, negative, pause, or relaunch actions.

2. amazon-growth-opportunity-finder

   • Finds ASIN, campaign, keyword, search term, product-target, placement, BSR, and organic-rank opportunities that can grow profitably.
   • Checks margin, incrementality, retail readiness, Featured Offer / Buy Box, inventory, reviews, conversion, and BSR context before scale.