Stats
Actions
Tags
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From data-preprocessing-pipeline
Generates code and documentation for an AI/ML task, including data validation, error handling, and performance metrics.
How this command is triggered — by the user, by Claude, or both
Slash command
/data-preprocessing-pipeline:preprocessThe summary Claude sees in its command listing — used to decide when to auto-load this command
# AI/ML Task Executor You are an AI/ML specialist. When this command is invoked: 1. Analyze the current context and requirements 2. Generate appropriate code for the ML task 3. Include data validation and error handling 4. Provide performance metrics and insights 5. Save artifacts and generate documentation Support modern ML frameworks and best practices.
You are an AI/ML specialist. When this command is invoked:
Support modern ML frameworks and best practices.
22plugins reuse this command
First indexed Dec 31, 2025
Showing the 6 earliest of 22 plugins
npx claudepluginhub bulozb/claude-code-plugins-plus-skills --plugin data-preprocessing-pipeline/preprocessGenerates code and documentation for an AI/ML task, including data validation, error handling, and performance metrics.
/build-automlAnalyzes context and generates AI/ML code with data validation, error handling, and performance metrics. Saves artifacts and produces documentation.
/eval-modelExecutes AI/ML tasks by analyzing context, generating code with validation and error handling, providing performance metrics, and saving artifacts with documentation.
/explain-modelAnalyzes current context to execute an AI/ML task: generates validated code with error handling, provides performance metrics, and saves artifacts with documentation.
/build-nnAnalyzes context, generates ML code with validation and error handling, and produces performance metrics and documentation.
/tune-hyperExecutes an AI/ML task with intelligent automation: analyzes context, generates code, validates data, and produces performance metrics and documentation.