機器學習

This skill empowers Claude to perform feature engineering tasks for machine learning. It creates, selects, and transforms features to improve model performance. Use this skill when the user requests feature creation, feature selection, feature transformation, or any request that involves improving the features used in a machine learning model. Trigger terms include "feature engineering", "feature selection", "feature transformation", "create features", "select features", "transform features", "improve model performance", and similar phrases related to feature manipulation.

Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".

This skill automates the setup of machine learning experiment tracking using tools like MLflow or Weights & Biases (W&B). It is triggered when the user requests to "track experiments", "setup experiment tracking", "initialize MLflow", or "integrate W&B". The skill configures the necessary environment, initializes the tracking server (if needed), and provides code snippets for logging experiment parameters, metrics, and artifacts. It helps ensure reproducibility and simplifies the comparison of different model runs.

This skill enables Claude to manage environment configurations and secrets across different deployments using the environment-config-manager plugin. It is invoked when the user needs to generate, update, or retrieve configuration settings for various environments (e.g., development, staging, production). Use this skill when the user explicitly mentions "environment configuration," "secrets management," "deployment configuration," or asks to "generate config files". It helps streamline DevOps workflows by providing production-ready configurations based on best practices.

Generate production-ready Kubernetes manifests for AgentStack. Use for creating Deployments, Services, ConfigMaps, Secrets, RBAC, and other K8s resources. Triggers on "create deployment", "k8s manifest", "kubernetes yaml", "pod spec", "service definition", "configmap", "RBAC", or when deploying components to Kubernetes.

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."

This skill enables Claude to automatically scan for XSS (Cross-Site Scripting) vulnerabilities in code. It is triggered when the user requests to "scan for XSS vulnerabilities", "check for XSS", or uses the command "/xss". The skill identifies reflected, stored, and DOM-based XSS vulnerabilities. It analyzes HTML, JavaScript, CSS, and URL contexts to detect potential exploits and suggests safe proof-of-concept payloads. This skill is best used during code review, security audits, and before deploying web applications to production.

This skill empowers Claude to perform regression analysis and modeling using the regression-analysis-tool plugin. It analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performance metrics. Use this skill when the user explicitly requests regression analysis, prediction based on data, or mentions terms like "linear regression," "polynomial regression," "regression model," or "predictive modeling." This skill is also helpful when the user needs to understand the relationship between variables in a dataset.

Convert Markdown documents (*.md files) to self-contained HTML files with embedded images. Use when you need a portable, offline-friendly single HTML file from Markdown—ideal for blog posts, essays, reports, or any content that should work without external dependencies.

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management,CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligentvalidation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformationswith deep understanding of YAML specifications and common anti-patterns.

This skill empowers Claude to perform feature engineering tasks for machine learning. It creates, selects, and transforms features to improve model performance. Use this skill when the user requests feature creation, feature selection, feature transformation, or any request that involves improving the features used in a machine learning model. Trigger terms include "feature engineering", "feature selection", "feature transformation", "create features", "select features", "transform features", "improve model performance", and similar phrases related to feature manipulation.

Game UI design using Unity's UI Toolkit (USS/UXML/Flexbox). Includes game UI elements like HUD, health bars, inventory, skill bars, PanelSettings scaling, and Safe Area support. Use when: game UI design, HUD creation, USS/UXML styling, Flexbox layout, PanelSettings configuration

Utility tool to create new git worktrees with proper setup for development environments. Automates creation, copying, symlinking, and ownership management for smooth developer onboarding or isolated task/feature work.

Autonomously run quality checks (detekt, Gradle tests) to establish baseline or detect regressions. Supports three modes (capture, compare, auto) for comprehensive regression detection. Triggers before starting development work, after completing changes, when checking code quality, or when explicitly requested. Compares current metrics against previous baseline to identify improvements or regressions in code quality and test coverage.

This skill enables Claude to validate the ethical implications and fairness of AI/ML models and datasets. It is triggered when the user requests an ethics review, fairness assessment, or bias detection for an AI system. The skill uses the ai-ethics-validator plugin to analyze models, datasets, and code for potential biases and ethical concerns. It provides reports and recommendations for mitigating identified issues, ensuring responsible AI development and deployment. Use this skill when the user mentions "ethics validation", "fairness assessment", "bias detection", "responsible AI", or related terms in the context of AI/ML.

Establish clear and maintainable comments throughout JavaScript modules, CSS, and HTML files in this static website project. Use this skill when adding, updating, or reviewing comments in source code to ensure they follow consistent conventions and improve code readability.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

This skill enables Claude to manage and update snapshot tests using intelligent diff analysis and selective updates. It is triggered when the user asks to analyze snapshot failures, update snapshots, or manage snapshot tests in general. It helps distinguish intentional changes from regressions, selectively update snapshots, and validate snapshot integrity. Use this when the user mentions "snapshot tests", "update snapshots", "snapshot failures", or requests to run "/snapshot-manager" or "/sm". It supports Jest, Vitest, Playwright, and Storybook frameworks.

This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

Create and manage Home Assistant YAML configuration files including automations, scripts, templates, blueprints, Lovelace dashboards, and file organization. Use when working with Home Assistant configuration files (.yaml, .yml) or discussing HA automations, scripts, sensors, or dashboards.