langgenius/dify-official-plugins
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
API integrationdata extractionerror handlingplugin development
SoulCode
PROFILE
Soulcode
Developed and delivered the Somark Tool Plugin for the langgenius/dify-official-plugins repository, enabling automated conversion of documents such as PDFs and images into structured Markdown and JSON formats using the Somark API. The work involved implementing OXR-based extraction, supporting multiple input formats, and providing configurable API endpoints and authentication. Focus was placed on robust error handling and credential validation to ensure reliable extraction and API interactions. Compatibility and packaging stability were addressed by aligning dependencies and reverting to a stable plugin version. The project utilized Python and emphasized API integration, data extraction, and plugin development, with thorough documentation improvements throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,789
Activity Months1
Your Network
203 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026Month 2026-01: Delivered the Somark Tool Plugin for the dify-official-plugins repository, enabling automated conversion of documents (PDFs, images) into structured Markdown and JSON via the Somark API. Implemented OXR-based extraction, support for multiple input formats, and configurable API endpoints/auth. Paired feature work with stability and compatibility improvements to ensure reliable deployments across environments.
1 Commits • 1 Features
Jan 1, 2026Month 2026-01: Delivered the Somark Tool Plugin for the dify-official-plugins repository, enabling automated conversion of documents (PDFs, images) into structured Markdown and JSON via the Somark API. Implemented OXR-based extraction, support for multiple input formats, and configurable API endpoints/auth. Paired feature work with stability and compatibility improvements to ensure reliable deployments across environments.
January 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationdata extractionerror handlingplugin development
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