/ 디렉터리 / 플레이그라운드 / Amazon-Skills
● 커뮤니티 nexscope-ai ⚡ 바로 사용

Amazon-Skills

제작: 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.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

amazon-skill.replay ▶ 준비됨
0/0

설치

클라이언트 선택

~/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
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.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
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

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
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.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
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

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

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

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

context_servers에 추가. 저장 시 Zed가 핫 리로드.

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

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: Amazon-Skills

How to do Amazon keyword research for a new listing

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

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

사전 조건
  • Skill installed — git clone https://github.com/nexscope-ai/Amazon-Skills ~/.claude/skills/amazon-skills
흐름
  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.✓ 복사됨
    → Tiered keyword map with intent tags
  2. Rank by value
    Rank by estimated search volume and competition. Flag anything that smells restricted.✓ 복사됨
    → Ranked list with restriction flags
  3. Apply to listing
    Map the top 12 keywords to title, bullets, and backend search terms (250-char limit).✓ 복사됨
    → Field-by-field placement

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

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

Audit your top 5 competitors on a keyword

👤 Sellers entering an existing category ⏱ ~40 min intermediate

언제 쓸까: You're about to launch and want to know what 'good' looks like.

흐름
  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.✓ 복사됨
    → 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?✓ 복사됨
    → Specific angle recommendation

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

함정
  • 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

언제 쓸까: Listing is live, sessions are okay, conversion is poor.

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

결과: A sprint-sized list of listing fixes.

Draft a Sponsored Products strategy for a new launch

👤 Sellers starting PPC from zero ⏱ ~30 min intermediate

언제 쓸까: Product just launched; you need a sensible first PPC structure.

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

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

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

조합

다른 MCP와 조합해 10배 효율

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.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
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

비용 및 제한

운영 비용

API 쿼터
None
호출당 토큰
10-20k for full research
금액
Free
For precise search volume numbers, pair with Helium10/Jungle Scout; the skill handles strategy, not volume.

보안

권한, 시크릿, 파급범위

자격 증명 저장: No credentials
데이터 외부 송신: Prompts sent to Claude

문제 해결

자주 발생하는 오류와 해결

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

대안

Amazon-Skills 다른 것과 비교

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

더 보기

리소스

📖 GitHub에서 공식 README 읽기

🐙 열린 이슈 보기

🔍 400+ MCP 서버 및 Skills 전체 보기