amazon-product-finder
Find the best Amazon products for your affiliate content.
Works with
Installation Guide
How to use amazon-product-finder on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- βΊCursor installed and configured on your machine
- βΊNode.js 16+ with npm β verify with
node --version - βΊActive project directory where you want to add
amazon-product-finder
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches amazon-product-finder from noemi-paradise/openclaw-skill-amazon-product-finder and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate amazon-product-finder. Access via /amazon-product-finder in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Amazon Product Finder
Find the best Amazon products for your affiliate content.
Quick Start
# Search for products
@Naomi finde Amazon Produkte "Bio DΓΌnger"
# Get details for specific ASIN
@Naomi Amazon ASIN B08XXXXXXX
# Find products for problem/solution content
@Naomi finde Produkte fΓΌr "gelbe BlΓ€tter"
How It Works
- User provides search keyword or problem description
- Script queries Amazon (PA API or scraper)
- Returns top 3 products with:
- Product name
- ASIN
- Price
- Rating
- Affiliate link
Scripts
scripts/find_products.py- Main product searchscripts/check_asin.py- Validate single ASIN
Output Format
π Gefundene Produkte fΓΌr "Bio DΓΌnger":
1. COMPO Bio GrΓΌnpflanzen-DΓΌnger
ASIN: B00X9XZ5
Preis: β¬8,99
Bewertung: β4.5 (2.341 Reviews)
Link: https://amazon.de/dp/B00X9XZ5?tag=YOUR-ID
2. [Product 2]...
3. [Product 3]...
Configuration
Set your Amazon Affiliate ID:
export AMAZON_AFFILIATE_ID="your-id-21"
GrΓΌtze! π¨π
Ein herzliches GrΓΌezi an den OpenClaw Creator - mΓΆgen deine Skills immer scharf sein wie ein Schweizer Taschenmesser!
Created with β€οΈ by Naomi for the OpenClaw Community
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale