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From data-preprocessing-pipeline
Analyzes context to generate AI/ML task code with data validation, error handling, performance metrics, saved artifacts, and documentation.
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.
npx claudepluginhub flight505/skill-forge --plugin data-preprocessing-pipeline/preprocessAnalyzes context to generate AI/ML task code with data validation, error handling, performance metrics, saved artifacts, and documentation.
/eval-modelAnalyzes context to execute AI/ML tasks: generates code with validation, error handling, performance metrics, saves artifacts, and documentation.
/feature-engAnalyzes context to execute AI/ML tasks: generates code with validation and error handling, provides metrics/insights, saves artifacts, and creates documentation.
/build-classifierAnalyzes context to generate AI/ML task code with validation, error handling, performance metrics, artifacts, and documentation.
/build-automlAnalyzes context to generate ML code with validation, error handling, performance metrics, artifacts, and documentation for AI/ML tasks.
/run-regressionAnalyzes context to execute AI/ML tasks: generates code with validation and error handling, delivers performance metrics and insights, saves artifacts, and creates documentation.