Generate a Hello World Python file and query OpenHarmony contribution data.
npx skills add https://github.com/openharmony/napi_generator --skill helloworld
Please help me install this Agent Skill. Skill: helloworld Source: https://github.com/openharmony/napi_generator/tree/main/src/skills/helloworld Command: npx skills add https://github.com/openharmony/napi_generator --skill helloworld
This skill provides a compact, self-contained starter to explore OpenHarmony data by generating a Hello World Python file and enabling quick access to employer contributions, contributor rankings, commit details, and compatibility device data.
Run the included Python scripts to generate a Hello World file and fetch OpenHarmony data.
High-intent search queries and answers about installing and using this skill.
You can retrieve OpenHarmony employer contributions and top contributor rankings by running the included Python scripts, which fetch the repository activity data and present the results in structured tables.
Querying OpenHarmony commit details for a specific author is done by applying the skill's author-based lookup functionality to filter and retrieve specific repository activity data.
Yes, you can perform time-range based queries on OpenHarmony commit data to understand repository activity within specific periods using the skill's data workflow capabilities.
The skill handles missing data gracefully during OpenHarmony data analysis and logs errors for debugging, ensuring your data workflows remain stable without interrupting the retrieval process.
Yes, you need the Python dependencies requests and beautifulsoup4 installed in your environment to run these OpenHarmony data insights scripts and fetch repository data successfully.
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