Machine Learning
1913 skills in Data & AI > Machine Learning
outlier-detective
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
ai-ml-engineer
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.
building-commands
Expert at creating and modifying Claude Code slash commands. Auto-invokes when the user wants to create, update, modify, enhance, validate, or standardize slash commands, or when modifying command YAML frontmatter fields (especially 'model', 'allowed-tools', 'description'), needs help designing command workflows, or wants to understand command arguments and parameters. Also auto-invokes proactively when Claude is about to write command files (*/commands/*.md), or implement tasks that involve creating slash command components.
mcp-async-skill
Generate Skills from HTTP MCP servers with async job patterns (submit/status/result). Use when converting MCP specifications (.mcp.json) into reusable Skills using mcp_tool_catalog.yaml, or when calling async MCP tools via JSON-RPC 2.0 with session-based polling.
model-comparison-tool
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.
flowchart-generator
Generate flowcharts from YAML/JSON definitions or Python DSL. Supports standard flowchart shapes, swimlanes, and PNG/SVG/PDF export.
github-project-automation
Automate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
clip-aware-embeddings
Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching".
better-auth
Build authentication systems for TypeScript/Cloudflare Workers with social auth, 2FA, passkeys, organizations, and RBAC. Self-hosted alternative to Clerk/Auth.js. IMPORTANT: Requires Drizzle ORM or Kysely for D1 - no direct D1 adapter. v1.4.0 (Nov 2025) adds stateless sessions, ESM-only (breaking), JWT key rotation, SCIM provisioning. v1.3 adds SSO/SAML, multi-team support. Use when: self-hosting auth on Cloudflare D1, migrating from Clerk, implementing multi-tenant SaaS, or troubleshooting D1 adapter errors, session serialization, OAuth flows, TanStack Start cookie issues, nanostore session invalidation.
html-guidelines
Provides HEEx template and Phoenix HTML best practices. Use when writing Phoenix templates, forms, handling conditionals in HEEx, working with class attributes, or dealing with interpolation syntax.
frontend-technologies
Master modern web development with HTML, CSS, JavaScript, React, Vue, Angular, Next.js, TypeScript, and responsive design. Use when building web applications, optimizing UI performance, or learning frontend frameworks.
code-review
Code review guidelines for commits and file changes. Covers four categories: Quality (security, correctness, maintainability), Regression (breaking changes, API compatibility), Documentation (code docs, changelogs), and Performance (optimization, efficiency).
strip-frontmatter
Remove YAML frontmatter from markdown before posting to external systems
Unnamed Skill
HTML/CSS를 WPF CustomControl XAML로 변환할 때 필요한 가이드. CSS 애니메이션, overflow 클리핑, pseudo-element, 회전 요소 등을 WPF로 변환할 때 발생하는 일반적인 실수와 올바른 패턴을 제공한다. 다음 상황에서 사용: (1) HTML/CSS를 WPF XAML로 변환, (2) CSS 애니메이션을 WPF Storyboard로 변환, (3) CSS border-radius + overflow: hidden을 WPF 클리핑으로 구현, (4) CSS ::before/::after pseudo-element를 WPF로 구현, (5) CSS transform: rotate를 WPF RotateTransform으로 변환
example-skill
Example skill demonstrating YAML best practices. Use when learning skill structure, reviewing formatting standards, or creating new skills as a reference.
artifacts-builder
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. | モダンなフロントエンドWeb技術(React、Tailwind CSS、shadcn/ui)を使用して、精巧なマルチコンポーネントclaude.ai HTMLアーティファクトを作成するツール群。状態管理、ルーティング、shadcn/uiコンポーネントが必要な複雑なアーティファクトに使用 - シンプルな単一ファイルHTML/JSXアーティファクトには不向き
claude-skill-creator
Guide for creating effective Claude Code skills with proper YAML frontmatter, directory structure, and best practices. Use when creating new skills, updating existing skills, or learning about skill development.
retention-optimization-expert
Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies. Generate comprehensive HTML reports with retention curves, health scores, churn analysis, and 90-day implementation roadmaps.
Unnamed Skill
Implement code changes by learning from and precisely matching existing codebase patterns, ensuring seamless integration with surrounding code. Use when writing new features, modifying logic, adding functionality. Triggers: 'implement', 'write code', 'add feature', 'create', 'build', 'fix bug', '구현', '코드 작성', '기능 추가', '생성', '빌드', '버그 수정', '만들어', working with *.ts, *.go, *.java, *.py, *.nix, *.rs files.
devops-flow
DevOps, MLOps, DevSecOps practices for cloud environments (GCP, Azure, AWS)