Run predefined transform pipelines via the Starlake CLI alias.
npx skills add https://github.com/starlake-ai/starlake --skill job
Please help me install this Agent Skill. Skill: job Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/job Command: npx skills add https://github.com/starlake-ai/starlake --skill job
Provides a lightweight alias to run transform workflows, reducing the need to retype long CLI commands and lowering the barrier to reuse existing pipelines.
Run a transform workflow by executing starlake job with the appropriate options for your transform.
High-intent search queries and answers about installing and using this skill.
To run a transform job with a shorter command, use the job alias to execute predefined transform workflows via the Starlake CLI, reducing the need to retype long commands.
A CLI alias for transform workflows is used to trigger established data pipelines quickly, ensuring consistency by reusing existing transform configurations without duplication across datasets.
You trigger a predefined data pipeline across multiple datasets by executing the job alias, which applies existing transform definitions to run standard workflows like data cleaning in a single command.
Yes, you need existing transform definitions to use the job command, because it relies on predefined transform pipeline configurations and acts purely as an alias to invoke them via the Starlake CLI.
The best way to reuse established transform configurations without duplication is using a lightweight CLI alias, which triggers standard transform pipelines consistently while lowering the barrier to reusing existing workflows.
starlake-aiConvert Excel job descriptions into Starlake YAML job definitions.
rappdwTransforms xlsx, csv, or json datasets into aggregated or scored tables.
starlake-aiIndex Starlake CLI skills for command references and pipeline workflows.
InsajinRedirect alias invocations to the canonical auto workflow while preserving flags.
