Machine Learning

Add new documentation sources to .claude/doc-sources.toml for Context7 access

Build accessible user interfaces following WCAG 2.2 standards with proper semantic HTML, ARIA attributes, keyboard navigation, and screen reader support. Use this skill when creating or modifying UI components, forms, interactive elements, navigation menus, modals, or any frontend code that users interact with. Apply this skill when implementing keyboard navigation, focus management, color contrast requirements, alternative text for images, form labels, ARIA roles and landmarks, or when ensuring components work with assistive technologies like screen readers. This skill is essential when working with React, Vue, or other framework components, HTML templates, JSX files, or any UI implementation to ensure inclusive design that serves users with visual, auditory, motor, or cognitive disabilities and meets legal compliance standards (ADA, WCAG 2.2 Level AA).

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

Transforms design tokens into platform-specific formats (CSS, SCSS, iOS Swift, Android XML). Use when setting up multi-platform token pipelines, creating build processes, or managing cross-platform design systems.

A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.

Generate responsive HTML/CSS/JS web content with interactive elements, quizzes, navigation, and accessibility for self-paced or blended learning. Use when creating web content, interactive lessons, or online materials. Activates on "create website", "web content", "interactive web", or "HTML export".

Rust project organization and structure. Use when creating new projects, organizing modules, setting up workspaces, configuring Cargo.toml, or migrating between editions.

Comprehensive Bun runtime expertise covering all major features.Use when working with Bun projects, migrating from Node.js, or leveraging Bun-specific APIs.Activates for: Bun.serve, Bun.file, bun:test, bun:sqlite, bun install, bun build,bunfig.toml, TypeScript in Bun, package manager operations, bundler configuration,and Node.js compatibility questions.

Generates production-ready BAML applications from natural language requirements. Creates complete type definitions, functions, clients, tests, and framework integrations for data extraction, classification, RAG, and agent workflows. Queries official BoundaryML repositories via MCP for real-time patterns. Supports multimodal inputs (images, audio), 6 programming languages (Python, TypeScript, Ruby, Java, Go, C#), 10+ frameworks, 50-70% token optimization, and 95%+ compilation success.

Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.

Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns

Enforce Maven POM dependency ordering rules. This skill should be used when editing pom.xml files.

Storage management for Bazzite. Automounting drives (BTRFS/EXT4, Framework, SteamOS),BTRFS deduplication, rmlint disk trimming, and snapper snapshots. Use when usersneed to configure disk and partition management.

Write meaningful code comments that explain WHY rather than WHAT, focusing on business logic, non-obvious solutions, workarounds, and complex algorithms while keeping code self-documenting. Use this skill when adding comments to explain rationale, documenting complex business logic, explaining workarounds or temporary solutions, describing performance optimizations, writing function documentation (JSDoc, docstrings, XML docs), or reviewing code for appropriate commenting. Apply when working on any code file that contains logic requiring explanation, public API functions, complex algorithms, security-critical code, or architectural decisions. This skill ensures comments explain rationale not implementation (WHY not WHAT), self-documenting code through clear naming (refactor unclear code instead of commenting), concise and evergreen comments (no who/when dated comments - Git tracks this), links to external resources for context, proper function documentation format (JSDoc for TS/JS, docstrings for Python, XML d

Manage hierarchical project plans in SQLite. Tree-based structure with phases and tasks. Multiple output formats (text, JSON, XML, markdown).

Write internationalization-friendly HTML pages. Use when creating multilingual content, setting lang attributes, handling RTL languages, or preparing content for translation.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

Use this skill whenever the user wants to deploy, configure, or refine deployment of a Hono/TypeScript backend (or similar Worker) to Cloudflare Workers/Pages using Wrangler, including wrangler.toml, environments, bindings, and basic release workflows.

Create and execute git commit plans from YAML files - use when organizing changes into logical commits or when user wants help structuring their git history

Machine learning integration patterns for rRNA-Phylo covering three use cases - rRNA sequence classification (supervised learning with sklearn/PyTorch), multi-tree consensus (ensemble methods), and generative tree synthesis (GNNs/transformers). Includes feature engineering, model training, hyperparameter tuning, model serving, versioning, and evaluation metrics for bioinformatics ML workflows.