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From clustering-algorithm-runner
Executes an AI/ML task by analyzing requirements, generating code with data validation and error handling, providing performance metrics, and saving artifacts with documentation.
How this command is triggered — by the user, by Claude, or both
Slash command
/clustering-algorithm-runner:run-clusteringThe 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 danielmiessler/claude-code-plugins-plus --plugin clustering-algorithm-runner38plugins reuse this command
First indexed Dec 31, 2025
Showing the 6 earliest of 38 plugins
/run-clusteringExecutes an AI/ML task by analyzing requirements, generating code with data validation and error handling, providing performance metrics, and saving artifacts with documentation.
/eval-modelExecutes AI/ML tasks with intelligent automation: analyzes context, generates code, validates data, provides performance metrics, saves artifacts, and generates documentation.
/build-classifierGenerates code for an AI/ML task based on current context, with data validation, error handling, performance metrics, and artifact documentation.
/explain-modelAnalyzes context and generates code for AI/ML tasks, including data validation, error handling, performance metrics, and documentation.
/viz-dataExecutes AI/ML tasks with intelligent automation: analyzes context, generates code, validates data, provides performance metrics, saves artifacts, and generates documentation. Supports modern ML frameworks.
/preprocessExecutes AI/ML tasks by analyzing context, generating code with validation, and producing documentation and performance metrics.