Machine Learning

This skill should be used when the user wants to create a new looplia workflow, generate a workflow definition file, or compose workflow steps from skill recommendations. Use when someone says "create a looplia workflow", "generate workflow.md", "compose workflow steps", "build me an automation pipeline", or "/build" (final step). Final step in looplia workflow building: transforms skill recommendations into valid v0.7.0 workflow YAML/Markdown files. Each step uses skill: + mission: syntax, following the one workflow step → one skill-executor → multiple skills architecture. v0.7.0: Generates explicit `skills:` declaration for selective plugin loading. v0.6.3: Supports input-less workflows using input-less capable skills (e.g., search).

Sveltia CMS Git-backed content management (Decap/Netlify CMS successor). 5x smaller bundle (300 KB), GraphQL performance, solves 260+ issues. Use for static sites (Hugo, Jekyll, 11ty, Gatsby, Astro, Next.js), blogs, docs, i18n, or encountering OAuth errors, TOML/YAML issues, CORS problems, content listing errors.

Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, underfitting, convergence issues.

Expert help with RCC (Repeatable, Contained Code): creating/running robots, robot.yaml + conda.yaml, holotree environment caching, rcc task testrun vs rcc run, dependency management (conda-forge + pip), Playwright/robotframework-browser install (rccPostInstall: rfbrowser init), Control Room (rcc cloud), troubleshooting enterprise networks/proxies, and performance profiling with --pprof/--timeline/--trace.

Use for Bun runtime, bunfig.toml, watch/hot modes, env vars, CLI flags, and module resolution.

Comprehensive guide for all 8 Nuxt SEO modules plus Pro modules: @nuxtjs/seo, nuxt-robots, nuxt-sitemap, nuxt-og-image, nuxt-schema-org, nuxt-link-checker, nuxt-seo-utils, nuxt-site-config, and Pro modules (AI Ready, Skew Protection, SEO Pro MCP). Use when building SEO-optimized Nuxt applications, implementing robots.txt and sitemaps, generating Open Graph images, adding Schema.org structured data, managing meta tags, checking links, configuring site-wide SEO settings, or implementing advanced SEO features like rendering modes, canonical URLs, Twitter Cards, and IndexNow. Keywords: nuxt-seo, nuxt, seo, nuxt 3, nuxt 4, nuxt seo, vue, vue 3, search engine optimization, @nuxtjs/seo, nuxt-robots, nuxt-sitemap, nuxt-og-image, nuxt-schema-org, nuxt-link-checker, nuxt-seo-utils, nuxt-site-config, robots.txt, sitemap, sitemap.xml, og image, open graph, social sharing, meta tags, schema.org, structured data, json-ld, canonical urls, breadcrumbs, bot detection, crawling, indexing, noindex, nofollow, xml sitemap, multiple sitemaps, sitemap index, dynamic sitemap, og image generation, satori, chromium rendering, vue templates, seo setup, seo configuration, meta management, social media preview, search optimization, link checking, broken links, site config, multi-language seo, i18n seo, sitemap not generated, robots.txt missing, og image not rendering, schema validation errors, duplicate meta tags, canonical url issues, sitemap index errors, twitter cards, indexnow, ssr, ssg, isr, rendering modes, rich results, useSeoMeta, useSchemaOrg, defineOgImage, url structure, meta robots, ai ready, llms.txt, skew protection, i18n multilanguage, hreflang, _i18nTransform, _sitemap, route rules, routeRules, enhanced titles, title template, fallback title, link checker rules, prerendering spa, hydration mismatch, crawler protection, getBotDetection, useBotDetection, 404 page, seo-friendly 404, inspection rules, absolute-site-urls, link-text, missing-hash, no-error-response, defineSitemapEventHandler, nitro hooks, sitemap:input, sitemap:resolved, nuxt-og-image:context, asSeoCollection, asSitemapCollection, asSchemaOrgCollection, nuxt content v3, content collections, nuxt ai ready, mcp server, content signals, og image templates, multi-sitemaps, chunked sitemap, image sitemap, video sitemap, zero runtime

Claude Code-optimized context transfer for development workflows. Preserves code context, git state, running services, and development environment when moving work between sessions. Works seamlessly with peer review skills (Codex/Gemini). Use when transferring development work to a new Claude Code session.

Event Storming 기법을 사용하여 PlantUML 시퀀스 다이어그램을 작성하고 유저스토리 개발을 준비합니다. 기획 구체화 시 사용하세요.

Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.

セマンティックHTML/JSXとWAI-ARIAを「最小で正しく」適用し、キーボード操作・スクリーンリーダ・コントラスト等を満たす実装を作るための判断軸。ネイティブ要素優先、ARIAの過剰使用を避ける。

WCAG 2.1 AA/AAA accessibility compliance specialist for ARIA attributes, keyboard navigation, screen reader testing, color contrast validation, semantic HTML, and automated a11y testing with axe-core/

UI/UX 설계서를 기반으로 기본 HTML/JavaScript로 동작하는 프로토타입을 개발합니다.

Analyze ML model architecture from papers and code. Use when understanding model structure for implementation.

MANDATORY when: tests fail, CI fails, CI/CD fails, ci.yml fails, user provides CI log URL. Investigates failures, fixes iteratively until passing.

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.

This skill provides comprehensive guidance for using the Replicate CLI to run AI models, create predictions, manage deployments, and fine-tune models. Use this skill when the user wants to interact with Replicate's AI model platform via command line, including running image generation models, language models, or any ML model hosted on Replicate. This skill should be used when users ask about running models on Replicate, creating predictions, managing deployments, fine-tuning models, or working with the Replicate API through the CLI.

Diagnose and stabilize ML training runs, recover from failures, and deliver validated fixes.

Design, implement, and optimize production-grade ML models and training pipelines.

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify WHICH environment variables are required (not the values). Enables DRY approach by centralizing configuration in Rust, exposed to Python via PyO3.