APIClaw技能
APIClaw技能 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分，整体质量较高。我们推荐使用将其纳入你的 AI 工具库，帮助提升工作效率。
📚 深度解析
通过安装 APIClaw技能，你的 AI 助手将获得额外的工具调用能力，可以用自然语言直接操控该工具的功能，无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置，永久增强"——配置完成后，每次与 AI 对话时都可以无缝调用这些工具。
在技术实现上，MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信，工具的功能以"工具列表"的形式暴露给 AI 模型，AI 可以按需调用。APIClaw技能 提供了结构化的工具调用接口，使 AI 模型能够精确地理解和使用每个功能点，显著降低 AI 在工具使用上的错误率。
与传统的 API 集成相比，MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON，即可让 AI 获得全新能力。AI Skill Hub 将 APIClaw技能 评为 AI 评分 7.5 分，属于同类工具中的优质选择。
📋 工具概览
APIClaw技能 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
📖 中文文档
APIClaw技能 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
# 方式一：通过 Claude Code CLI 一键安装
claude skill install https://github.com/SerendipityOneInc/APIClaw-Skills
# 方式二：手动配置 claude_desktop_config.json
{
"mcpServers": {
"apiclaw--": {
"command": "npx",
"args": ["-y", "apiclaw-skills"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
- 确认已安装 Node.js（v18 或以上版本）
- 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
- 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
- 保存配置文件并重启 Claude 客户端
- 重启后，在对话中即可使用本工具
# 安装后在 Claude 对话中直接使用 # 示例： 用户: 请帮我用 APIClaw技能 执行以下任务... Claude: [自动调用 APIClaw技能 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入："列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"apiclaw__": {
"command": "npx",
"args": ["-y", "apiclaw-skills"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
简介
<p align="right"> <a href="README.md">English</a> | <a href="README.zh-CN.md">中文</a> </p>
<p align="center"> <h1 align="center">APIClaw Skills</h1> </p>
<p align="center"> <b>The data infrastructure built for agents.</b><br/> Currently powering Amazon commerce with 200M+ products, 1B+ reviews, and real-time signals. </p>
<p align="center"> <a href="https://github.com/SerendipityOneInc/APIClaw-Skills/actions/workflows/ci.yml"><img src="https://github.com/SerendipityOneInc/APIClaw-Skills/actions/workflows/ci.yml/badge.svg" alt="CI" /></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License" /></a> <a href="https://apiclaw.io"><img src="https://img.shields.io/badge/API-apiclaw.io-orange" alt="API" /></a> <a href="https://discord.gg/YfDFU9BDp5"><img src="https://img.shields.io/badge/Discord-Join-7289da?logo=discord&logoColor=white" alt="Discord" /></a> <a href="https://github.com/SerendipityOneInc/APIClaw-Skills/stargazers"><img src="https://img.shields.io/github/stars/SerendipityOneInc/APIClaw-Skills?style=social" alt="Stars" /></a> </p>
<p align="center"> <a href="https://apiclaw.io">Website</a> • <a href="https://apiclaw.io/en/api-keys">Get API Key</a> • <a href="https://discord.gg/YfDFU9BDp5">Discord</a> • <a href="#quick-start">Quick Start</a> • <a href="#api-endpoints">API Reference</a> </p>
---
Skills Overview
This repo contains 10 agent skills organized in two tiers:
🏗️ Foundation — data access and full-spectrum analysis:
| Skill | What It Does | Input | Output | Key Advantage |
|---|---|---|---|---|
📦 [apiclaw/](apiclaw/) | Direct access to all 11 API endpoints — categories, markets, products, competitors, realtime, reviews, price bands, brands, history | Keyword, category, ASIN, or brand | Raw API data with field mapping and quirk documentation | Complete API reference — every other skill builds on this |
🎯 [amazon-analysis/](amazon-analysis/) | 13 built-in selection modes + market research, competitor analysis, ASIN evaluation, pricing, category research | Keyword/category/ASIN + intent | Analysis findings, top products, ASIN deep dives, confidence-tagged insights | Composite commands (report, opportunity) run multi-endpoint pipelines in one shot |
⚡ Specialized — purpose-built for specific workflows:
| Skill | What It Does | Input | Output | Key Advantage |
|---|---|---|---|---|
⚔️ [amazon-competitor-intelligence-monitor/](amazon-competitor-intelligence-monitor/) | Deep competitor intelligence — Full Scan or Quick Check with tiered alerts | Keyword or ASIN(s), optionally your ASIN + competitor ASINs | Competitor matrix, brand ranking, price map, 30-day trends, scores (1-100), tiered alerts | Dual-mode (Full ~28-35 credits, Quick ~5-10) with three-tier alert system |
📡 [amazon-daily-market-radar/](amazon-daily-market-radar/) | Automated daily monitoring — price changes, new competitors, BSR movements, review spikes | Your ASINs (1-10) + keyword | RED/YELLOW/GREEN alerts, KPI dashboard, competitor movement, action items | Set-and-forget with signal validation (7+ day trends vs single-day spikes) |
✅ [amazon-listing-audit-pro/](amazon-listing-audit-pro/) | 8-dimension listing health check with optimization recommendations | Your ASIN + keyword | Score (X/100, A-F), 8-dimension scorecard, keyword gaps, priority fix list | Actionable rewrites using high-frequency review language; bulk audit support |
🚪 [amazon-market-entry-analyzer/](amazon-market-entry-analyzer/) | One-click market viability — discovers sub-markets, scores (1-100), delivers GO/CAUTION/AVOID | Keyword or category path | Sub-market landscape, verdict, market overview, brand landscape, entry strategy | Auto sub-market discovery with dual-level CR10 check |
📈 [amazon-market-trend-scanner/](amazon-market-trend-scanner/) | Category landscape scanning — trending subcategories, emerging niches, market shifts | 1+ category paths or keywords | Trend dashboard, Hot Categories TOP 5, new entrant scan, risk alerts | Category-level trend analysis across ALL subcategories |
💎 [amazon-opportunity-discoverer/](amazon-opportunity-discoverer/) | Profile-driven opportunity scanner — auto-selects strategies, validates with real-time data, 7-dimension scoring | Budget + experience level + keyword/category | Top 10 opportunities (S/A/B/C), detailed top 3 analysis, risk alerts | Profile-driven strategy auto-selection + Quick-Scan (~10 credits) |
💰 [amazon-pricing-command-center/](amazon-pricing-command-center/) | Data-driven pricing signals — auto-detects leaf category, analyzes pricing landscape | One or more ASINs | RAISE/HOLD/LOWER signal, price band heatmap, competitor price map, BuyBox analysis | ASIN-only input (no keyword needed), Sales/Competition Ratio |
💬 [amazon-review-intelligence-extractor/](amazon-review-intelligence-extractor/) | Deep consumer insights from 1B+ pre-analyzed reviews across 11 dimensions | Single ASIN, multiple ASINs, or category keyword | Pain points, buying factors, user profiles, usage patterns, differentiation roadmap | 1B+ pre-analyzed reviews (95% token savings), 11 dimensions |
Requirements
- Python 3.8+ (stdlib only, zero pip dependencies)
- APIClaw API Key (get one free)
1. Install the Skills
npx skills add SerendipityOneInc/APIClaw-SkillsYou'll be prompted to select which skills to install:
🏗️ Foundation: - APIClaw — Amazon Commerce Data, 11 Endpoints - Amazon Analysis — Full-Spectrum Research & Seller Intelligence
⚡ Specialized: - Amazon Competitor Intelligence Monitor — Dual-mode competitive intelligence with tiered alerts - Amazon Daily Market Radar — Automated Monitoring & Alerts - Amazon Listing Audit Pro — 8-Dimension Health Check - Amazon Market Entry Analyzer — GO/CAUTION/AVOID Verdicts - Amazon Market Trend Scanner — Daily Category Radar - Amazon Opportunity Discoverer — Niche Scanner & Scoring - Amazon Pricing Command Center — RAISE/HOLD/LOWER Signals - Amazon Review Intelligence Extractor — Consumer Insights from 1B+ Reviews
Or clone manually:
git clone https://github.com/SerendipityOneInc/APIClaw-Skills.gitQuick Start
What is APIClaw?
APIClaw is the data infrastructure built for agents. Not a scraping API. Not a human dashboard. A purpose-built data layer that gives your AI agents direct access to Amazon commerce signals — 200M+ indexed products, 2+ years of history, and 1B+ reviews pre-processed into structured insights. Clean JSON, real-time, agent-ready.
https://github.com/user-attachments/assets/305a161b-7a53-49b8-afdc-4469a4fbf361
2. Set Your API Key
export APICLAW_API_KEY='hms_live_xxx' # Get yours free at apiclaw.io/en/api-keys🎁 Free tier: 1,000 credits on signup. 1 credit = 1 API call. No credit card required.
API Endpoints
Base URL: https://api.apiclaw.io/openapi/v2 Auth: Authorization: Bearer $APICLAW_API_KEY Method: All endpoints use POST with JSON body
| Endpoint | Description | Example Use Case |
|---|---|---|
🔍 products/search | Product search with 13 preset modes, 20+ filters | *"Find running shoes under $80 with 4+ stars"* |
📊 markets/search | Market-level metrics — concentration, brand share, pricing | *"How competitive is the yoga mat market?"* |
🏷️ products/competitors | Competitor discovery by keyword, brand, or ASIN | *"Who are the top sellers in this niche?"* |
⚡ realtime/product | Real-time product details — reviews, features, variants | *"Get current details for ASIN B0D5CRV4KL"* |
💬 reviews/analysis | AI-powered review insights — sentiment, pain points | *"What do customers love/hate about this product?"* |
📁 categories | Amazon category tree navigation | *"Show subcategories under Electronics"* |
📈 products/price-band-overview | Price band summary with best opportunity band | *"What's the best price range for yoga mats?"* |
📊 products/price-band-detail | Full 5-band price distribution analysis | *"Show detailed price band breakdown for wireless earbuds"* |
🏢 products/brand-overview | Top-brand concentration metrics (CR10) | *"How concentrated is the brand landscape?"* |
🏷️ products/brand-detail | Per-brand breakdown with top products | *"Which brands dominate this category?"* |
📅 products/history | Historical daily snapshots for ASINs | *"Show price and BSR history for this ASIN"* |
高质量的MCP工具，适合亚马逊产品研究
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- Python 依赖冲突：建议用 venv / uv 隔离环境
- CLI：直接 npm install -g / pip install，命令行调用
- 云端托管：可放在 Vercel / Railway / Fly.io 等 PaaS 平台
⚡ 核心功能
- 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
- 提供结构化工具调用接口，显著降低 AI 集成复杂度
- 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
- 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
- 轻量无侵入设计，不影响现有系统架构
- 构建多智能体协作系统的 Agent 开发者
- Agent 任务先做 dry-run 验证工具调用链，再开启自主执行
- API key 直接提交到 git 仓库（请用 .env 并加入 .gitignore）
- Python 依赖冲突：建议用 venv / uv 隔离环境
👥 适合人群
🎯 使用场景
- 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
- 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
- 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
⚖️ 优点与不足
- +MIT 协议，可免费商用
- +标准化 MCP 协议，生态互联性强
- +与 Claude 官方生态无缝对接
- +即插即用，配置简单快捷
- −依赖 Claude 客户端，非 Claude 用户无法使用
- −MCP 协议仍在持续演进，接口可能变更
- −需要一定的配置步骤
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一，可自由商用、修改、分发，仅需保留版权声明。
🔗 相关工具推荐
❓ 常见问题 FAQ
经综合评估，APIClaw技能 在MCP工具赛道中表现稳健，质量良好。如果你已有明确的使用需求，可以直接上手体验；如果还在评估阶段，建议对比同类工具后再做决策。
| 原始名称 | APIClaw-Skills |
| 原始描述 | 开源MCP工具：APIClaw Skills - AI Agent capabilities for Amazon Product Research。⭐47 · Python |
| Topics | ai-agentamazonpython |
| GitHub | https://github.com/SerendipityOneInc/APIClaw-Skills |
| License | MIT |
| 语言 | Python |
收录时间：2026-06-05 · 更新时间：2026-06-05 · License：MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。