Generate a new data pipeline directory structure with boilerplate documentation.
npx skills add https://github.com/hsigstad/research-kit --skill new-pipeline-hsigstad
Please help me install this Agent Skill. Skill: new-pipeline Source: https://github.com/hsigstad/research-kit/tree/main/skills/new-pipeline Command: npx skills add https://github.com/hsigstad/research-kit --skill new-pipeline-hsigstad
This Skill helps users quickly set up a new data pipeline with the correct directory structure and essential documentation, streamlining the process of creating a new data processing pipeline.
Create a new data pipeline by running 'new-pipeline <pipeline-slug> <purpose> <input-data> <output>'.
High-intent search queries and answers about installing and using this skill.
To create a new data pipeline directory structure, use the new-pipeline command by passing a pipeline slug, purpose, input data, and output parameters to automatically generate the required folders and files.
Scaffolding a data processing pipeline with documentation is best handled by automating directory creation and populating essential files with boilerplate content, which streamlines the setup process for new research workflows.
Yes, you can customize the data pipeline setup by specifying details like the pipeline slug, purpose, input data, and output during creation, which dictates the generated directory structure and documentation.
No external dependencies are required to generate a data pipeline scaffold, as the tool operates independently to automate the creation of your directory structure and essential documentation.
To start a new data processing pipeline, you need to provide a pipeline slug, its purpose, the input data source, and the expected output to automatically generate the correct structure and boilerplate documentation.
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