Data & AI
Machine Learning, Data Science, and AI development skills
22656 skills in this category
Subcategories
infrastructure-expert
Expert infrastructure design including networking, compute, storage, and operations
openai-latam-audiobook
Create complete audiobook with OpenAI GPT-4o-mini translation to Argentine Spanish. Full pipeline - translate, TTS, video with background image. Auto-scales parallelism based on file size. Use when user wants to create audiobook from Russian text to LATAM Spanish.
agent-skill-templates
Comprehensive templates, patterns, and best practices for creating Claude Code subagents and skills. Use when building new agents/skills or need reference examples for proper structure and formatting.
frontend-design
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.
contracts-package
Use when creating, auditing, or validating MetaSaver contracts packages. Includes Zod validation schemas, TypeScript types, barrel exports, and database type re-exports. File types: .ts, package.json, tsconfig.json.
openwebf-host-bundle-loading
Choose and implement WebFBundle loading in a Flutter host (remote URL, assets, localhost dev, inline) and diagnose bundle load failures (bad URL, missing assets, network errors). Use when the user mentions WebFBundle, bundle URL/path, remote vs assets vs localhost vs inline, or “bundle won’t load”.
settings-updater
プロジェクトの .claude/settings.json を更新する。「設定を更新して」「settings を変更」「permissions を追加」「設定を変えて」「Claude の設定」「設定ファイルを編集」「allowedTools を追加」などで起動。Claude Code のプロジェクト設定を管理。
ptk-validation
This skill should be used when the user asks about "prompt_toolkit Validator", "validation", "input validation", "ValidationError", "History", "FileHistory", "InMemoryHistory", "auto_suggest", "AutoSuggest", or needs to validate user input or implement command history in prompt_toolkit applications.
coverage-analyzer
WHEN: Coverage analysis, finding untested files, test prioritization, coverage gap identificationWHAT: Line/Branch/Function coverage + untested file list + priority by importance + improvement roadmapWHEN NOT: Test generation → test-generator, Test quality → code-reviewer
clean-architecture
Clean Architecture and SOLID principles implementation including dependency injection, layer separation, domain-driven design, hexagonal architecture, and code quality patterns
minimal-modeling
Use when designing database schemas from business requirements, translating vague requirements into concrete SQL definitions, or validating database designs with non-technical stakeholders. Provides a systematic methodology that decouples logical business modeling from physical implementation to reduce cognitive load and ensure business-driven design.
sql-optimization-patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
subagent-driven-development
Use when decomposing complex work. Dispatch fresh subagent per task, review between tasks. Flow: Load plan → Dispatch task → Review output → Apply feedback → Mark complete → Next task. No skipping reviews, no parallel dispatch.
langgraph-gen-ui
This skill should be used when implementing rich, interactive React components in LangGraph applications, including weather dashboards, image galleries, flashcards, charts, forms, and custom visualizations. Use when building new agents with custom UI, retrofitting existing agents with generative UI, or implementing specific component types like galleries or interactive forms.
seo-optimizer
Comprehensive SEO optimization for web applications. Use when asked to improve search rankings, add meta tags, create structured data, generate sitemaps, optimize for Core Web Vitals, or analyze SEO issues. Works with Next.js, Astro, React, and static HTML sites.
test-driven-development
Use when implementing any feature or bugfix. Write the test first, watch it fail, write minimal code to pass. Red-Green-Refactor cycle.
frontend-accessibility
Build accessible user interfaces following WCAG guidelines with semantic HTML, keyboard navigation, screen reader support, and proper color contrast. Use this skill when creating or modifying UI components, implementing form inputs, adding interactive elements, working with navigation menus, creating modals or dialogs, or handling focus management. Apply when working on React component files (*.tsx, *.jsx), Shadcn/ui components, or any frontend code that users interact with. This skill ensures semantic HTML elements (nav, main, button, etc.) that convey meaning to assistive technologies, keyboard navigation with visible focus indicators (focus:ring-2 focus:ring-offset-2 in Tailwind), sufficient color contrast ratios (4.5:1 for normal text), descriptive alt text for images and meaningful labels for form inputs, screen reader testing and verification, ARIA attributes for complex components when semantic HTML isn't sufficient, logical heading structure (h1-h6 in proper order), and proper focus management in dyna
kyverno-image-validation-templates
Kyverno image validation: registry allowlists, digests, signatures, and CVE scanning gates for K8s supply chain security.
writing-plans
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge
agent-selection
Systematic framework for selecting the optimal specialized agent for any task. Use when delegating to subagents via the Task tool to ensure the most appropriate specialist is chosen based on framework, domain, task type, and complexity. Applies decision tree logic to match tasks with agent expertise.