Machine Learning

Create distinctive, production-grade HTML/CSS frontends with exceptional design quality

Map permissible values in LinkML enums to ontology terms. Use this skill when: (1) Adding or updating ontology mappings (meaning: field) for enum permissible values, (2) Fixing validation errors from linkml-term-validator, (3) User asks to map enums to ontology terms or fix CURIE mappings. This skill covers OAK/runoak lookup, CURIE verification, and validation workflows.

Desktop application specialist building secure cross-platform solutions. Develops Electron apps with native OS integration, focusing on security, performance, and seamless user experience.

Fix generic HTML/CSS designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.

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.

Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation.

This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.

AI-powered code review using CodeRabbit CLI and GitHub integration. Use when running local code reviews before commits ("run coderabbit", "review my changes"), configuring .coderabbit.yaml files, integrating CodeRabbit with Claude Code for autonomous review workflows, using @coderabbitai commands in pull requests, or setting up automated code review pipelines.

This skill should be used when the user asks to "create a slash command", "write a command file", "add command to plugin", "create /command", "write command frontmatter", "add command arguments", "configure command tools", needs guidance on command structure, YAML frontmatter fields (description, argument-hint, allowed-tools), markdown command body, or wants to add custom slash commands to Claude Code plugins with proper argument handling and tool restrictions.

End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.

Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems. Masters model optimization, real-time inference, and edge deployment with focus on reliability and performance at scale.

Expert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.

Create distinctive, production-grade frontend interfaces with high design quality. Use when building or refining web components, pages, or apps (HTML/CSS/JS/React) with bold aesthetics, purposeful layouts, motion, and accessibility. Avoid generic AI-looking output.

Deep learning with PyTorch - model training, GPU acceleration, and data science workflows

Guide users through creating Sindri extensions. Use when creating new extensions, understanding extension.yaml structure, validating extensions against schemas, or learning about extension installation methods (mise, apt, binary, npm, script, hybrid). Helps with extension development, registry updates, and category assignment.

GitHub repository automation (CI/CD, issue templates, Dependabot, CodeQL). Use for project setup, Actions workflows, security scanning, or encountering YAML syntax, workflow configuration, template structure errors.

Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.

Selects appropriate Loop 3 and Loop 2 agents based on task classification

Use this skill when working with Playgama Bridge SDK for HTML5 games. Activates for game development involving cross-platform publishing, advertisements, in-app purchases, leaderboards, or social features using Playgama Bridge.