[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M78G81T33JHX4DESCWC4ECMW":3,"skill-same:01M78G81T33JHX4DESCWC4ECMW":56},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":6,"ownerHtmlUrl":38,"ownerBlogUrl":39,"ownerDescription":40,"updatedAt":41,"install":42,"resources":55},"01M78G81T33JHX4DESCWC4ECMW","training-machine-learning-models",null,"Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to \"train model\" or \"evalua... Trigger with relevant phrases based on skill purpose.","jukeyman\u002Fjukeyman-skills","jukeyman","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142960420?v=4","01M78FR4Y3DHMMCBCC0GXXNB3F","RICK JEFFERSON","01M78FR4Z8RVQRAD31Y5J7V6EB",1,"MIT","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fai-ml--ml-model-trainer--training-machine-learning-models\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: training-machine-learning-models\ndescription: |\n  Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to \"train model\" or \"evalua... Trigger with relevant phrases based on skill purpose.\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*)\nversion: 1.0.0\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\nlicense: MIT\ncompatible-with: claude-code, codex, openclaw\ntags: [ai, ml, workflow]\n---\n# Ml Model Trainer\n\nTrain machine learning models with configurable architectures, loss functions, and optimization strategies across classification, regression, and other task types.\n\n## Overview\n\nThis skill empowers Claude to automatically train and evaluate machine learning models. It streamlines the model development process by handling data analysis, model selection, training, and evaluation, ultimately providing a persisted model artifact.\n\n## How It Works\n\n1. **Data Analysis and Preparation**: The skill analyzes the provided dataset and identifies the target variable, determining the appropriate model type (classification, regression, etc.).\n2. **Model Selection and Training**: Based on the data analysis, the skill selects a suitable machine learning model and configures the training parameters. It then trains the model using cross-validation techniques.\n3. **Performance Evaluation and Persistence**: After training, the skill generates performance metrics to evaluate the model's effectiveness. Finally, it saves the trained model artifact for future use.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Train a machine learning model on a given dataset.\n- Evaluate the performance of a machine learning model.\n- Automate the machine learning model training process.\n\n## Examples\n\n### Example 1: Training a Classification Model\n\nUser request: \"Train a classification model on this dataset of customer churn data.\"\n\nThe skill will:\n1. Analyze the customer churn data, identify the churn status as the target variable, and determine that a classification model is appropriate.\n2. Select a suitable classification algorithm (e.g., Logistic Regression, Random Forest), train the model using cross-validation, and generate performance metrics such as accuracy, precision, and recall.\n\n### Example 2: Training a Regression Model\n\nUser request: \"Train a regression model to predict house prices based on features like size, location, and number of bedrooms.\"\n\nThe skill will:\n1. Analyze the house price data, identify the price as the target variable, and determine that a regression model is appropriate.\n2. Select a suitable regression algorithm (e.g., Linear Regression, Support Vector Regression), train the model using cross-validation, and generate performance metrics such as Mean Squared Error (MSE) and R-squared.\n\n## Best Practices\n\n- **Data Quality**: Ensure the dataset is clean and properly formatted before training the model.\n- **Feature Engineering**: Consider feature engineering techniques to improve model performance.\n- **Hyperparameter Tuning**: Experiment with different hyperparameter settings to optimize model performance.\n\n## Integration\n\nThis skill can be used in conjunction with other data analysis and manipulation tools to prepare data for training. It can also integrate with model deployment tools to deploy the trained model to production.\n\n## Prerequisites\n\n- Appropriate file access permissions\n- Required dependencies installed\n\n## Instructions\n\n1. Invoke this skill when the trigger conditions are met\n2. Provide necessary context and parameters\n3. Review the generated output\n4. Apply modifications as needed\n\n## Output\n\nThe skill produces structured output relevant to the task.\n\n## Error Handling\n\n- Invalid input: Prompts for correction\n- Missing dependencies: Lists required components\n- Permission errors: Suggests remediation steps\n\n## Resources\n\n- Project documentation\n- Related skills and commands","# Ml Model Trainer\n\nTrain machine learning models with configurable architectures, loss functions, and optimization strategies across classification, regression, and other task types.\n\n## Overview\n\nThis skill empowers Claude to automatically train and evaluate machine learning models. It streamlines the model development process by handling data analysis, model selection, training, and evaluation, ultimately providing a persisted model artifact.\n\n## How It Works\n\n1. **Data Analysis and Preparation**: The skill analyzes the provided dataset and identifies the target variable, determining the appropriate model type (classification, regression, etc.).\n2. **Model Selection and Training**: Based on the data analysis, the skill selects a suitable machine learning model and configures the training parameters. It then trains the model using cross-validation techniques.\n3. **Performance Evaluation and Persistence**: After training, the skill generates performance metrics to evaluate the model's effectiveness. Finally, it saves the trained model artifact for future use.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Train a machine learning model on a given dataset.\n- Evaluate the performance of a machine learning model.\n- Automate the machine learning model training process.\n\n## Examples\n\n### Example 1: Training a Classification Model\n\nUser request: \"Train a classification model on this dataset of customer churn data.\"\n\nThe skill will:\n1. Analyze the customer churn data, identify the churn status as the target variable, and determine that a classification model is appropriate.\n2. Select a suitable classification algorithm (e.g., Logistic Regression, Random Forest), train the model using cross-validation, and generate performance metrics such as accuracy, precision, and recall.\n\n### Example 2: Training a Regression Model\n\nUser request: \"Train a regression model to predict house prices based on features like size, location, and number of bedrooms.\"\n\nThe skill will:\n1. Analyze the house price data, identify the price as the target variable, and determine that a regression model is appropriate.\n2. Select a suitable regression algorithm (e.g., Linear Regression, Support Vector Regression), train the model using cross-validation, and generate performance metrics such as Mean Squared Error (MSE) and R-squared.\n\n## Best Practices\n\n- **Data Quality**: Ensure the dataset is clean and properly formatted before training the model.\n- **Feature Engineering**: Consider feature engineering techniques to improve model performance.\n- **Hyperparameter Tuning**: Experiment with different hyperparameter settings to optimize model performance.\n\n## Integration\n\nThis skill can be used in conjunction with other data analysis and manipulation tools to prepare data for training. It can also integrate with model deployment tools to deploy the trained model to production.\n\n## Prerequisites\n\n- Appropriate file access permissions\n- Required dependencies installed\n\n## Instructions\n\n1. Invoke this skill when the trigger conditions are met\n2. Provide necessary context and parameters\n3. Review the generated output\n4. Apply modifications as needed\n\n## Output\n\nThe skill produces structured output relevant to the task.\n\n## Error Handling\n\n- Invalid input: Prompts for correction\n- Missing dependencies: Lists required components\n- Permission errors: Suggests remediation steps\n\n## Resources\n\n- Project documentation\n- Related skills and commands",{"name":5,"tags":24,"author":28,"license":15,"version":29,"description":30,"allowed-tools":31,"compatible-with":32},[25,26,27],"ai","ml","workflow","Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Build train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to \"train model\" or \"evalua... Trigger with relevant phrases based on skill purpose.\n","Read, Write, Edit, Grep, Glob, Bash(cmd:*)","claude-code, codex, openclaw","main","99825ad3f3bcc6597ddcc7294a14e6e922f2b67b","skills\u002Fai-ml--ml-model-trainer--training-machine-learning-models",0,"https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills","https:\u002F\u002Fgithub.com\u002Fjukeyman","https:\u002F\u002FRJBUSINESSSOLUTIONS.ORG","Credit and Finance Expert | Developer\r\n\r\nI'm Rick Jefferson, a seasoned credit and finance expert with over a decade of experience in financial literacy,","2026-07-13 07:03:29",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add jukeyman\u002Fjukeyman-skills --skill training-machine-learning-models",{"tool":48,"command":49},"bunx","bunx skills add jukeyman\u002Fjukeyman-skills --skill training-machine-learning-models",{"tool":51,"command":52},"pnpm","pnpm dlx skills add jukeyman\u002Fjukeyman-skills --skill training-machine-learning-models","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fai-ml--ml-model-trainer--training-machine-learning-models\u002FSKILL.md",true,[],[57,64,71,78,85,93],{"skillNo":58,"name":59,"nameZh":6,"description":60,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":63,"publishedAt":19},"01M79ANS2SM329NEP5ZCX106RR","zustand-store-creator","Create zustand store creator operations. Auto-activating skill for Frontend Development.\nTriggers on: zustand store creator, zustand store creator\nPart of the Frontend Development skill category. Use when working with zustand store creator functionality. Trigger with phrases like \"zustand store creator\", \"zustand creator\", \"zustand\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzustand-store-creator\u002FSKILL.md",[],[],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":19},"01M79AMZKP4YDEZ7EHG1Y7PP74","zero-trust-config-helper","Configure with zero trust config helper operations. Auto-activating skill for Security Advanced.\nTriggers on: zero trust config helper, zero trust config helper\nPart of the Security Advanced skill category. Use when configuring systems or services. Trigger with phrases like \"zero trust config helper\", \"zero helper\", \"zero\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzero-trust-config-helper\u002FSKILL.md",[],[],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":19},"01M79AMJSBCEJQNBTYNAHYN5HM","zapier-integration-helper","Assist with zapier integration helper operations. Auto-activating skill for Business Automation.\nTriggers on: zapier integration helper, zapier integration helper\nPart of the Business Automation skill category. Use when working with APIs or building integrations. Trigger with phrases like \"zapier integration helper\", \"zapier helper\", \"zapier\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fzapier-integration-helper\u002FSKILL.md",[],[],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M79AHJZGVMARS13VFQYRR1MP","yaml-config-validator","Validate yaml config validator operations. Auto-activating skill for DevOps Basics.\nTriggers on: yaml config validator, yaml config validator\nPart of the DevOps Basics skill category. Use when configuring systems or services. Trigger with phrases like \"yaml config validator\", \"yaml validator\", \"yaml\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fyaml-config-validator\u002FSKILL.md",[],[],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":89,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":19},"01M79AHGDZRN0020RDQSQDPAM8","xvary-stock-research","Thesis-driven equity analysis from public SEC EDGAR and market data; \u002Fanalyze, \u002Fscore, \u002Fcompare workflows with bundled Python tools (Claude Code, Cursor, Codex).","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxvary-stock-research\u002FSKILL.md",[],[],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":19},"01M79AHCYJ9FV9RMHQ24HDRN33","xss-vulnerability-scanner","Scan xss vulnerability scanner operations. Auto-activating skill for Security Fundamentals.\nTriggers on: xss vulnerability scanner, xss vulnerability scanner\nPart of the Security Fundamentals skill category. Use when working with xss vulnerability scanner functionality. Trigger with phrases like \"xss vulnerability scanner\", \"xss scanner\", \"xss\".","https:\u002F\u002Fgithub.com\u002Fjukeyman\u002Fjukeyman-skills\u002Fblob\u002Fmain\u002Fskills\u002Fxss-vulnerability-scanner\u002FSKILL.md",[],[]]