Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.
Skills in this repository
MikeTreml/MissionControl - Page 34
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TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
Run accessibility audits with axe-core and screen reader testing for desktop applications
Integrate Amplitude analytics with privacy controls for desktop applications
Build AppImage bundles with AppDir structure for portable Linux applications
Generate NSMenu and NSStatusItem configurations for macOS menu bar applications
Set up Avalonia UI project with cross-platform XAML for Windows, macOS, and Linux
Analyze and optimize application bundle size for desktop applications
Cross-platform clipboard operations for text, images, files, and rich content
Generate CI test matrix for Windows, macOS, and Linux combinations
Build Debian packages with proper control files, dependencies, and maintainer scripts
Create macOS DMG installers with custom backgrounds and app placement
Configure ClickOnce deployment with auto-update, prerequisites, and publish settings for .NET applications
Configure electron-updater with code signing verification, delta updates, staged rollouts, and multiple update channels for Electron applications
Generate and validate electron-builder configuration for multi-platform desktop builds with code signing, auto-update, and platform-specific packaging
Analyze Electron IPC implementations for security vulnerabilities including contextIsolation, nodeIntegration, preload scripts, and channel validation
Generate secure main process and preload script boilerplate with proper context isolation, IPC patterns, and security best practices for Electron applications
Profile Electron app memory usage, detect leaks, analyze renderer process memory, and optimize memory consumption
Generate mocks for Electron APIs (ipcMain, ipcRenderer, dialog, etc.) for unit testing
Build and bundle native Node.js addons for Electron with proper ABI compatibility, cross-compilation support, and rebuild automation
Register and handle custom URL protocols (deep linking) across platforms for Electron applications
Generate system tray and context menu configurations with platform-specific icons, menu templates, and event handling
Validate EV code signing certificate chain and timestamp for Windows SmartScreen
Cross-platform file dialog implementation for open, save, and directory selection
Set up cross-platform file system watching with debouncing and efficient change detection
Generate Flatpak manifest with proper permissions and sandboxing
Configure Flutter for desktop platforms with platform channels and native integrations
Implement GDPR-compliant consent management for desktop applications
Register and manage global keyboard shortcuts across desktop platforms
Manage credentials in OS keychains across Windows, macOS, and Linux
Sign Linux packages with GPG keys for secure distribution
Execute macOS code signing with Developer ID and hardened runtime requirements
Generate entitlements.plist with appropriate sandbox capabilities for macOS applications
Automate Apple notarization with xcrun notarytool for macOS application distribution
Configure Sparkle framework for macOS auto-updates with appcast, delta updates, and code signing
Generate .NET MAUI project with platform-specific handlers for desktop and mobile
Detect memory leaks in desktop applications through heap analysis and object tracking
Generate MSIX packaging configuration with manifest, assets, and signing for Windows applications