Amazon Seller logo

Amazon Seller

Organization
claude-office-skills
Amazon Seller

Automate Amazon seller operations including inventory, orders, pricing, and advertising management

Overview

Publisherclaude-office-skills
Repositoryskills
Skill nameAmazon Seller
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Amazon Seller AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/claude-office-skills/skills/tree/main/amazon-seller
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/amazon-seller .claude/skills/claude-office-skills-amazon-seller
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Seller in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Seller on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Seller is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon Seller

Comprehensive skill for automating Amazon seller operations and FBA management.

Core Workflows

1. Seller Central Pipeline

AMAZON SELLER OPERATIONS:
┌─────────────────────────────────────────────────────────┐
│                    LISTING MANAGEMENT                    │
│  Create → Optimize → Price → Inventory → Monitor        │
└────────────────────────┬────────────────────────────────┘
                         ▼
┌─────────────────────────────────────────────────────────┐
│                    ORDER FULFILLMENT                     │
│  FBA: Amazon handles │ FBM: Seller handles              │
└────────────────────────┬────────────────────────────────┘
                         ▼
┌─────────────────────────────────────────────────────────┐
│                    ADVERTISING (PPC)                     │
│  Sponsored Products │ Brands │ Display                  │
└────────────────────────┬────────────────────────────────┘
                         ▼
┌─────────────────────────────────────────────────────────┐
│                    ANALYTICS & GROWTH                    │
│  Sales Reports │ Profit Analysis │ Market Research      │
└─────────────────────────────────────────────────────────┘

2. Automation Triggers

yaml
automations:
  - name: low_stock_alert
    trigger:
      metric: fba_inventory
      condition: "< 14_days_supply"
    actions:
      - send_alert: slack
      - create_shipment_plan
      - reorder_from_supplier
      
  - name: price_adjustment
    trigger:
      event: competitor_price_change
      threshold: 5%
    actions:
      - recalculate_price
      - update_listing
      - log_change
      
  - name: review_request
    trigger:
      event: order_delivered
      delay: 7_days
    actions:
      - check_return_status
      - send_review_request

Product Listing Management

Listing Optimization

yaml
listing_template:
  title:
    format: "{{brand}} {{product_name}} - {{key_feature}} | {{variant}}"
    max_chars: 200
    rules:
      - capitalize_first_word
      - no_promotional_phrases
      - include_main_keywords
      
  bullet_points:
    count: 5
    format: |
      • {{benefit}} - {{feature_description}}
    guidelines:
      - Start with key benefit
      - Include dimensions/specs
      - Address common questions
      - Use relevant keywords
      
  description:
    format: enhanced_brand_content  # or basic_html
    sections:
      - brand_story
      - key_features
      - specifications
      - usage_instructions
      
  backend_keywords:
    max_bytes: 250
    strategy:
      - Include misspellings
      - Add synonyms
      - No punctuation
      - No repeated words

Keyword Research

yaml
keyword_strategy:
  tools:
    - helium10
    - jungle_scout
    - amazon_brand_analytics
    
  categories:
    primary_keywords:
      - High search volume
      - High relevance
      - Moderate competition
      
    secondary_keywords:
      - Long-tail variations
      - Question phrases
      - Comparison keywords
      
    backend_keywords:
      - Misspellings
      - Abbreviations
      - Foreign translations
      
  tracking:
    monitor_rankings: daily
    track_competitors: weekly

Inventory Management

FBA Inventory Planning

yaml
inventory_planning:
  reorder_rules:
    - sku: "PROD-001"
      reorder_point: 30_days_supply
      target_stock: 90_days_supply
      lead_time: 21_days
      min_order_qty: 500
      
  storage_optimization:
    aged_inventory:
      threshold: 180_days
      actions:
        - create_removal_order
        - run_promotion
        - adjust_price
        
    storage_fees:
      monitor: monthly
      optimize_for: Q4  # Holiday season
      
  shipment_automation:
    trigger: stock_below_reorder
    workflow:
      - calculate_quantity
      - create_shipment_plan
      - generate_labels
      - notify_warehouse

Inventory Dashboard

FBA INVENTORY STATUS
═══════════════════════════════════════

OVERVIEW:
Total SKUs:        245
In Stock:          198
Low Stock:         32
Out of Stock:      15

INVENTORY HEALTH:
Healthy           ██████████████░░ 78%
Excess            ████░░░░░░░░░░░░ 12%
Stranded          ██░░░░░░░░░░░░░░ 6%
Aged (180+ days)  █░░░░░░░░░░░░░░░ 4%

TOP SELLERS (Days of Supply):
┌──────────────────┬───────────┬──────────┐
│ Product          │ Stock     │ Days     │
├──────────────────┼───────────┼──────────┤
│ Widget Pro       │ 1,245     │ 28 ⚠️    │
│ Gadget Plus      │ 856       │ 45 ✓     │
│ Accessory Kit    │ 2,340     │ 120 📈   │
└──────────────────┴───────────┴──────────┘

RECOMMENDED ACTIONS:
• Reorder Widget Pro (28 days supply)
• Create removal for excess Accessory Kit
• Investigate 15 stranded SKUs

Pricing Strategy

Dynamic Pricing

yaml
pricing_rules:
  - name: compete_for_buy_box
    conditions:
      - has_buy_box: false
      - competitor_price: "<= my_price"
    action:
      adjust: match_lowest - $0.01
      floor: min_profit_price
      
  - name: demand_based
    conditions:
      - sales_velocity: "> 2x_average"
      - stock_level: "> 60_days"
    action:
      adjust: "+5%"
      ceiling: max_price
      
  - name: clearance
    conditions:
      - stock_age: "> 150_days"
      - sales_velocity: "< 0.5x_average"
    action:
      adjust: "-15%"
      floor: cost + fees

Profit Calculator

yaml
profit_calculation:
  revenue:
    - sale_price
    - shipping_credit
    
  costs:
    - product_cost
    - shipping_to_fba
    - fba_fulfillment_fee
    - referral_fee
    - storage_fee
    - advertising_cost
    
  formula: |
    Profit = Sale Price
             - Product Cost
             - FBA Fee (size-based)
             - Referral Fee (15% typical)
             - Storage Fee (monthly)
             - Inbound Shipping
             - PPC Cost (ACoS-based)
             
  example:
    sale_price: $29.99
    product_cost: $8.00
    fba_fee: $4.75
    referral_fee: $4.50
    storage_fee: $0.25
    shipping: $1.50
    ppc_cost: $2.00
    profit: $8.99 (30% margin)

Advertising (PPC)

Campaign Structure

yaml
ppc_structure:
  sponsored_products:
    auto_campaigns:
      - name: "{{product}}_Auto_Research"
        targeting: auto
        budget: $20/day
        purpose: keyword_discovery
        
    manual_campaigns:
      - name: "{{product}}_Exact"
        match_type: exact
        keywords: top_performers
        budget: $50/day
        
      - name: "{{product}}_Phrase"
        match_type: phrase
        keywords: mid_performers
        budget: $30/day
        
      - name: "{{product}}_Broad"
        match_type: broad
        keywords: discovery
        budget: $20/day
        
  bid_optimization:
    target_acos: 25%
    rules:
      - condition: "acos < 20%"
        action: "increase_bid_10%"
      - condition: "acos > 35%"
        action: "decrease_bid_15%"
      - condition: "no_sales_7_days"
        action: "pause_keyword"

PPC Dashboard

PPC PERFORMANCE - LAST 30 DAYS
═══════════════════════════════════════

OVERVIEW:
Spend:        $4,523
Sales:        $18,750
ACoS:         24.1%
TACoS:        8.2%
Orders:       625

BY CAMPAIGN TYPE:
Sponsored Products  ████████████████ $3,200
Sponsored Brands    ████░░░░░░░░░░░░ $823
Sponsored Display   ██░░░░░░░░░░░░░░ $500

TOP KEYWORDS:
┌────────────────────┬────────┬───────┬──────┐
│ Keyword            │ Spend  │ Sales │ ACoS │
├────────────────────┼────────┼───────┼──────┤
│ wireless charger   │ $450   │ $2,100│ 21%  │
│ fast charging pad  │ $320   │ $1,450│ 22%  │
│ phone charger      │ $280   │ $980  │ 29%  │
└────────────────────┴────────┴───────┴──────┘

RECOMMENDATIONS:
• Increase bid on "wireless charger" (+15%)
• Add negative: "car charger" (0 conversions)
• Test new keyword: "qi charger" (competitor)

Order Management

Order Processing

yaml
order_workflows:
  fba_orders:
    # Amazon handles fulfillment
    automation:
      - monitor_returns
      - respond_to_messages
      - request_reviews
      
  fbm_orders:
    # Seller handles fulfillment
    workflow:
      - receive_order
      - pick_pack
      - generate_label
      - ship_order
      - confirm_shipment
      - upload_tracking
      
  multi_channel:
    # FBA for non-Amazon orders
    sources:
      - shopify
      - ebay
      - website
    action: create_mcf_order

Customer Communication

yaml
messaging_automation:
  order_shipped:
    delay: immediate
    template: |
      Hi {{buyer_name}},
      
      Your order has shipped! Here's your tracking: {{tracking}}
      
      Estimated delivery: {{delivery_date}}
      
      Thank you for your purchase!
      
  review_request:
    delay: 7_days_after_delivery
    conditions:
      - no_return_requested
      - no_negative_feedback
    template: seller_central_request_review

Analytics & Reporting

Sales Dashboard

SALES PERFORMANCE - THIS MONTH
═══════════════════════════════════════

Revenue:      $45,230 (+12% MoM)
Units:        1,892 (+8% MoM)
Orders:       1,654 (+10% MoM)

PROFIT BREAKDOWN:
Gross Revenue    $45,230
- Product Cost   $15,200 (33.6%)
- Amazon Fees    $12,450 (27.5%)
- Advertising    $3,680 (8.1%)
= Net Profit     $13,900 (30.7%)

BY PRODUCT:
Widget Pro    ████████████░░░░ $18,500
Gadget Plus   ████████░░░░░░░░ $12,300
Accessory     ██████░░░░░░░░░░ $8,430
Bundle        ████░░░░░░░░░░░░ $6,000

BUY BOX %:
Widget Pro    ████████████████ 95%
Gadget Plus   ██████████████░░ 88%
Accessory     ████████████░░░░ 78%

API Integration

SP-API Examples

python
# List Orders
orders = sp_api.orders.get_orders(
    MarketplaceIds=["ATVPDKIKX0DER"],
    CreatedAfter="2024-01-01T00:00:00Z",
    OrderStatuses=["Unshipped", "PartiallyShipped"]
)

# Update Inventory
sp_api.fba_inventory.create_inbound_shipment_plan(
    ShipFromAddress=warehouse_address,
    InboundShipmentPlanRequestItems=[
        {
            "SellerSKU": "PROD-001",
            "Quantity": 500
        }
    ]
)

# Get Product Fees
fees = sp_api.products.get_my_fees_estimate_for_sku(
    SellerSKU="PROD-001",
    MarketplaceId="ATVPDKIKX0DER",
    PriceToEstimateFees={"ListingPrice": {"Amount": 29.99}}
)

Best Practices

  1. Optimize Listings: Keywords, images, A+ content
  2. Monitor Buy Box: Maintain competitive pricing
  3. Manage Inventory: Avoid stockouts and excess
  4. Control ACoS: Optimize PPC efficiency
  5. Respond Quickly: 24-hour message response
  6. Track Metrics: Daily sales and profit review
  7. Plan for Seasons: Q4 inventory prep
  8. Stay Compliant: Follow Amazon policies

Frequently asked questions

What does the Amazon Seller AI skill do?

Automate Amazon seller operations including inventory, orders, pricing, and advertising management

Why use Amazon Seller on TypingMind?

Because you install it once and use it with any model. Amazon Seller is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Seller in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/amazon-seller. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Amazon Seller?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Seller?

As many as you like. As long as a model supports skills, you can use Amazon Seller with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Seller AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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