amzn/selling-partner-api-samples
May 2025 – Oct 2025
3 Months active
Languages Used
MarkdownBashJSONPython
Technical Skills
DocumentationAPI IntegrationJupyter NotebooksMock Server DevelopmentPythonSDK Development
Chris Khoury
PROFILE
Chris Khoury
Contributed to the amzn/selling-partner-api-samples repository by delivering three features over three months, focusing on enhancing developer onboarding and documentation quality. Improved the repository’s README structure and internal linking, standardized formatting for Fulfillment Inbound and Outbound sections, and introduced a new Notification use case to broaden practical guidance. Developed SP-API Labs, which included hands-on tutorials, workshops, and example Jupyter notebooks, as well as a mock server for local, credential-free testing. Maintained disciplined documentation hygiene by cleaning up unused assets. Leveraged Python, Markdown, and Bash to streamline API integration, technical documentation, and SDK development, supporting maintainability and faster onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
5,406
Activity Months3
Your Network
57 peopleSame Organization
@amazon.de42
Shared Repositories
15
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Chris KhouryMember
Meena PeriMember
mafgeMember
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025In 2025-10, the amzn/selling-partner-api-samples repo delivered SP-API Labs to accelerate learning and experimentation with SP-API. The initiative includes hands-on resources (labs, tutorials, workshops), detailed READMEs, and example Jupyter notebooks, plus a mock server for local testing without live credentials. This foundation enables faster onboarding, safer testing, and broader adoption of SP-API samples across the developer community.
1 Commits • 1 Features
Oct 1, 2025In 2025-10, the amzn/selling-partner-api-samples repo delivered SP-API Labs to accelerate learning and experimentation with SP-API. The initiative includes hands-on resources (labs, tutorials, workshops), detailed READMEs, and example Jupyter notebooks, plus a mock server for local testing without live credentials. This foundation enables faster onboarding, safer testing, and broader adoption of SP-API samples across the developer community.
October 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 focused on documentation hygiene in the amzn/selling-partner-api-samples repo, specifically Shipping-v2. Delivered a clean asset cleanup in the documentation without touching runtime code, reinforcing maintainability and reducing potential confusion for developers onboarding to Shipping-v2.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 focused on documentation hygiene in the amzn/selling-partner-api-samples repo, specifically Shipping-v2. Delivered a clean asset cleanup in the documentation without touching runtime code, reinforcing maintainability and reducing potential confusion for developers onboarding to Shipping-v2.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for amzn/selling-partner-api-samples focused on documentation and sample coverage improvements. Delivered enhancements to README documentation, improving maintainability and onboarding for developers using the samples. Implemented a new Notification use case and ensured consistent formatting across Fulfillment Inbound/Outbound sections. These changes enhance discoverability, readability, and practical value of the sample repository.
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for amzn/selling-partner-api-samples focused on documentation and sample coverage improvements. Delivered enhancements to README documentation, improving maintainability and onboarding for developers using the samples. Implemented a new Notification use case and ensured consistent formatting across Fulfillment Inbound/Outbound sections. These changes enhance discoverability, readability, and practical value of the sample repository.
May 2025
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashJSONMarkdownPython
Technical Skills
API IntegrationDocumentationJupyter NotebooksMock Server DevelopmentPythonSDK DevelopmentTechnical Documentation
Repositories Contributed To
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