Agent skill · marketing growth · aradotso

1688-marketing-skill

Expert in 1688 platform marketing operations including merchant enrollment, activity registration, product pricing suggestions, and business opportunity recommendations.

Why this skill is useful

Provides specific commands and workflows for querying merchant activities and pricing on the 1688 platform that the AI wouldn't reliably generate on its own.

What it needs

Requires git, pip installed locally. Requires alibaba account access. About 4k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.

What this skill does

1688 Marketing Skill Skill by ara.so — Marketing Skills collection. Expert skill for helping merchants perform marketing operations on the 1688 platform, including querying merchant activities, checking product suggested pricing, submitting activity registrations, and viewing business opportunity recommendations. What This Project Does 1688-marketing is a marketing skill designed to help merchants on the 1688 platform (Alibaba's Chinese B2B marketplace) perform key marketing operations: Activity Query: Search and browse available merchant enrollment activities Suggested Pricing: Query recommended pricing for products based on market data Activity Registration: Submit applications to participate in merchant activities Business Opportunities: Discover and track market opportunities and recommendations Installation Configuration Set up environment variables for 1688 API credentials: Create a configuration file config.py: Core Components 1. Activity Query Module Query available merchant enrollment activities: 2. Suggested Pricing Query Check market-based suggested pricing for products: 3. Activity Registration Submit enrollment applications for merchant activities: 4. Business Opportunity Recommendations Query and track business opportunities: Common Patterns Complete Activity Enrollment Workflow Business Opportunity Pipeline Price Optimization Strategy Error Handling Troubleshooting Authentication Issues Rate Limiting Data Validation Best Practices 1. Always use environment variables for sensitive credentials 2. Implement retry logic for API calls with exponential backoff 3. Cache activity and pricing data to reduce API calls 4. Monitor enrollment status regularly for timely responses 5. Batch operations when possible to optimize API quota usage 6. Validate data before submission to avoid rejection

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/1688-marketing-skill

View the source on GitHub

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