langgenius/dify-plugins
Mar 2026 – Mar 2026
1 Month active
Languages Used
MarkdownUnknown
Technical Skills
AI IntegrationPlugin Developmentdata scrapingdependency managementdocumentationplugin development
shiyang he
PROFILE
Shiyang He
Contributed to the langgenius/dify-plugins repository by expanding the pangolinfo plugin ecosystem with two new plugins: Amazon Data Scraper and AI SERP. These additions enabled automated data extraction from Amazon and integrated AI-powered search capabilities within the pangolinfo framework. The work involved AI integration, plugin development, and data scraping, with careful attention to dependency management and documentation. Markdown was used to update the root README, providing clearer onboarding instructions and improving maintainability. By addressing both feature development and a critical documentation bug, the contributions enhanced data accessibility, streamlined integration, and supported future extensibility for the pangolinfo plugin environment.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
0
Activity Months1
Your Network
326 peopleShared Repositories
326
Work History
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026: Expanded the pangolinfo plugin ecosystem in langgenius/dify-plugins with two new plugins (Amazon Data Scraper and AI SERP), enabling data extraction and AI-powered search within pangolinfo. Completed critical documentation and dependency maintenance to improve reliability and onboarding. These changes broaden data accessibility, streamline integration, and improve future maintainability.
4 Commits • 2 Features
Mar 1, 2026March 2026: Expanded the pangolinfo plugin ecosystem in langgenius/dify-plugins with two new plugins (Amazon Data Scraper and AI SERP), enabling data extraction and AI-powered search within pangolinfo. Completed critical documentation and dependency maintenance to improve reliability and onboarding. These changes broaden data accessibility, streamline integration, and improve future maintainability.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
MarkdownUnknown
Technical Skills
AI IntegrationPlugin Developmentdata scrapingdependency managementdocumentationplugin development
Repositories Contributed To
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