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Amazon-Skills

von nexscope-ai · nexscope-ai/Amazon-Skills

Amazon seller skills — keyword research, competitor analysis, listing audit — built for Claude Code, Cursor, Windsurf, and Codex.

Amazon Skills gives sellers a focused toolkit: keyword research for Amazon SEO, competitor analysis with BSR/review-count context, listing audits that flag policy and conversion issues, and PPC strategy prompts. Cross-agent compatible via the SKILL.md format.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

amazon-skill.replay ▶ bereit
0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "amazon-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "amazon-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/nexscope-ai/Amazon-Skills",
        "~/.claude/skills/Amazon-Skills"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json
{
  "context_servers": {
    "amazon-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/nexscope-ai/Amazon-Skills",
          "~/.claude/skills/Amazon-Skills"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add amazon-skill -- git clone https://github.com/nexscope-ai/Amazon-Skills ~/.claude/skills/Amazon-Skills

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: Amazon-Skills

How to do Amazon keyword research for a new listing

👤 Sellers launching a product and needing a keyword map ⏱ ~45 min intermediate

Wann einsetzen: Pre-launch or relaunch; you need root + long-tail keywords organized by intent.

Voraussetzungen
  • Skill installed — git clone https://github.com/nexscope-ai/Amazon-Skills ~/.claude/skills/amazon-skills
Ablauf
  1. Define seed terms
    Amazon keyword research for 'reusable silicone food bags'. Give me root terms, long-tail, and attribute modifiers organized by search intent.✓ Kopiert
    → Tiered keyword map with intent tags
  2. Rank by value
    Rank by estimated search volume and competition. Flag anything that smells restricted.✓ Kopiert
    → Ranked list with restriction flags
  3. Apply to listing
    Map the top 12 keywords to title, bullets, and backend search terms (250-char limit).✓ Kopiert
    → Field-by-field placement

Ergebnis: A keyword map mapped to listing fields, ready to upload.

Fallstricke
  • Claude guesses search volume — Require directional categories (high/med/low) rather than specific numbers; validate with Helium10/Jungle Scout if precision matters
Kombinieren mit: ecommerce-skill

Audit your top 5 competitors on a keyword

👤 Sellers entering an existing category ⏱ ~40 min intermediate

Wann einsetzen: You're about to launch and want to know what 'good' looks like.

Ablauf
  1. Fetch top results
    For the keyword 'silicone food storage bags', analyze the top 5 organic listings: price, BSR, review count, rating, hero image style, bullet patterns.✓ Kopiert
    → Competitor table with differentiated insights
  2. Find your angle
    What's the common weakness across all 5? Where can we differentiate without racing to the bottom on price?✓ Kopiert
    → Specific angle recommendation

Ergebnis: A positioning angle backed by what the category is and isn't doing.

Fallstricke
  • Hallucinated review counts and BSR — Require URLs; reject numbers without the ASIN link

Audit an existing listing and produce a fix list

👤 Sellers with an existing listing underperforming ⏱ ~30 min beginner

Wann einsetzen: Listing is live, sessions are okay, conversion is poor.

Ablauf
  1. Paste listing
    Audit this listing: [paste title/bullets/description/images]. Flag policy risks, conversion blockers, keyword gaps.✓ Kopiert
    → Per-field issues with severity
  2. Prioritize
    Rank by expected impact vs effort. Top 5.✓ Kopiert
    → Ranked fix list

Ergebnis: A sprint-sized list of listing fixes.

Draft a Sponsored Products strategy for a new launch

👤 Sellers starting PPC from zero ⏱ ~30 min intermediate

Wann einsetzen: Product just launched; you need a sensible first PPC structure.

Ablauf
  1. Campaign structure
    Design campaign structure: auto research, exact discovery, broad research, product targeting. Budgets for $30/day total.✓ Kopiert
    → Per-campaign budget + match-type split
  2. Negatives
    What should go in the negative keyword list from day one?✓ Kopiert
    → Starter negatives list

Ergebnis: A first PPC structure that won't waste money on day one.

Fallstricke
  • Going too broad on exact-match — Start with auto for discovery, graduate converters to exact

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

amazon-skill + ecommerce-skill

Ecommerce is cross-platform; Amazon skill adds Amazon-specific depth

Validate the product with ecommerce-skill, then drill into Amazon specifics with amazon-skill.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
Keyword research - Pre-launch Claude tokens
Competitor analysis - Entering a category Claude tokens
Listing audit - Existing listings Claude tokens
PPC strategy - PPC launch Claude tokens

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
None
Tokens pro Aufruf
10-20k for full research
Kosten in €
Free
Tipp
For precise search volume numbers, pair with Helium10/Jungle Scout; the skill handles strategy, not volume.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials
Datenabfluss: Prompts sent to Claude

Fehlerbehebung

Häufige Fehler und Lösungen

Keyword volumes feel invented

Ask for directional tiers, not specific numbers. Validate with external tools.

Listing audit misses Amazon policy issues

Paste the current Amazon style guide for your category as context before auditing

Alternativen

Amazon-Skills vs. andere

AlternativeWann stattdessenKompromiss
ecommerce-skillYou sell on multiple platformsLess Amazon-specific depth
Helium 10 / Jungle ScoutYou need deterministic market dataPaid, not in Claude Code

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

🔍 Alle 400+ MCP-Server und Skills durchsuchen