APIClaw Skills

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

Skills Overview

This repo contains 10 agent skills organized in two tiers:

🏗️ Foundation — data access and full-spectrum analysis:

⚡ Specialized — purpose-built for specific workflows:

Quick Start

1. Install the Skills

npx skills add SerendipityOneInc/APIClaw-Skills

You'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.git

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.

3. Try It

Ask your AI agent:

"Analyze the competitive landscape for wireless earbuds under $50 on Amazon US"

Or use the CLI directly:

python amazon-analysis/scripts/apiclaw.py products --keyword "wireless earbuds" --mode competitive_landscape

API Endpoints

Base URL: https://api.apiclaw.io/openapi/v2 Auth: Authorization: Bearer $APICLAW_API_KEY Method: All endpoints use POST with JSON body

13 Product Search Modes

The products/search endpoint supports 13 preset modes for different research strategies:

Project Structure

├── apiclaw/                              # Data layer skill (lightweight)
│   ├── SKILL.md                            # 11 endpoints, quick start
│   └── references/
│       └── openapi-reference.md            # API field reference
│
├── amazon-analysis/                      # Deep analysis skill
│   ├── SKILL.md                            # Intent routing, workflows, evaluation criteria
│   ├── references/
│   │   ├── reference.md                    # Full API reference
│   │   ├── execution-guide.md              # Step-by-step execution playbook
│   │   ├── scenarios-composite.md          # Comprehensive recommendations
│   │   ├── scenarios-eval.md               # Product evaluation, risk, reviews
│   │   ├── scenarios-pricing.md            # Pricing strategy
│   │   ├── scenarios-ops.md                # Market monitoring, alerts
│   │   ├── scenarios-expand.md             # Expansion, trends
│   │   └── scenarios-listing.md            # Listing writing, optimization
│   └── scripts/
│       └── apiclaw.py                      # CLI — 8 subcommands, 13 preset modes
│
├── amazon-competitor-intelligence-monitor/  # Competitor intelligence & monitoring
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-daily-market-radar/            # Daily market pulse & anomaly detection
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-listing-audit-pro/             # Listing quality audit & optimization
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-market-entry-analyzer/         # Market viability assessment
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-opportunity-discoverer/        # Niche & opportunity identification
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-market-trend-scanner/           # Category landscape scanning & trend discovery
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-pricing-command-center/        # Pricing strategy & competitive signals
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── amazon-review-intelligence-extractor/    # Review intelligence & insight extraction
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── apiclaw.py
│
├── scoring-methodology.md                # Unified quality scoring framework
├── CHANGELOG.md
└── README.md

Requirements

• Python 3.8+ (stdlib only, zero pip dependencies)
• APIClaw API Key (get one free)

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Community

• 💬 Discord — Chat, get help, share what you're building
• 🐛 Issues — Bug reports and feature requests
• 📖 API Docs — Full API documentation

License

MIT © SerendipityOne Inc.