機器學習
1913 skills in 數據與 AI > 機器學習
web-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.
uml-generation
Generate UML diagrams from source code (PlantUML)
jupyter
JupyterLab ML/AI development environment management via Podman Quadlet. Supports multi-instance deployment, GPU acceleration (NVIDIA/AMD/Intel), token authentication, and per-instance configuration. Use when users need to configure, start, stop, or manage JupyterLab containers for ML development.
project-templates
Curated project templates that guide feature-dev Phase 3 questions with research-backed technology choices. Provides standardized options for common project types (SaaS API, ML Service, CLI Tool, Full-Stack). Use when starting new projects or when feature-dev needs structured decision guidance. Do NOT use for existing projects with established stacks - analyze existing code instead.
accessibility
Implement accessibility for the .NET 8 WPF widget host app. Use when improving keyboard navigation, screen reader support, focus states, and color contrast in XAML and styles.
Unnamed Skill
Story-level quality orchestrator. Pass 1: code quality -> regression -> manual testing (fail fast). Pass 2: verify tests/coverage -> mark Story Done. Auto-discovers team/config.
dsfr-components
Création d'interfaces web conformes au Design System de l'État Français (DSFR). Utiliser ce skill pour générer des pages HTML avec les composants officiels du gouvernement français, créer des formulaires administratifs, des tableaux de bord, ou tout site web respectant les standards de l'État.
categorical-encoder
Эксперт categorical encoding. Используй для ML feature engineering, one-hot, target encoding и embeddings.
yaml-config-helper
Validate, format, and troubleshoot YAML configuration files
uv-advanced
Advanced usage of uv, the extremely fast Python package and project manager from Astral. Use this skill when working with uv for project management (uv init, uv add, uv run, uv lock, uv sync), workspaces and monorepos, dependency resolution strategies (universal, platform-specific, constraints, overrides), Docker containerization, PEP 723 inline script metadata, uvx tool execution, Python version management, pip interface migration, pyproject.toml configuration, or any advanced uv workflow. Covers workspaces, resolution strategies, Docker best practices, CI/CD integration, and migration from pip/poetry/pipenv.
word-template-generator
Generate Word documents (.docx) using direct OOXML manipulation. Use when the user asks to create Word documents, templates, resumes, invoices, letters, reports, proposals, or any .docx file with full control over formatting and structure.
ascii-preview-generate
Use AI to create ASCII text-based preview of PDF page layout. Transforms visual and extracted data into structured ASCII representation for HTML generation.
Unnamed Skill
Diagnose and fix GitHub Actions workflow failures, CI/CD pipeline issues, YAML syntax errors, and workflow configuration problems. Use when debugging failed CI runs, fixing workflow errors, or optimizing GitHub Actions. Keywords: github actions, CI, workflow, pipeline, yml, yaml, actions failure, CI failure, workflow error
toolchain-health
Validate Python toolchain alignment between mise, Poetry, and pyproject. Use when changing Python versions, editing pyproject.toml, or seeing Poetry/mise version solver errors. Invokes /toolchain-health to check: - .mise.toml python tool version - pyproject.toml python constraint - Poetry env python interpreter Keywords: python version, mise, poetry, toolchain, env use, lock, install
limacharlie-reporting
Use this skill when users need interactive HTML reports, dashboards, charts, or visualizations for LimaCharlie data. You generate the HTML, this skill serves it on localhost.
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
uml-generation
Generate UML diagrams from project source code using PlantUML with online rendering
factor-models
Expert in factor modeling, including Fama-French factors, quality factors, value factors, and multi-factor portfolio analysis. Use when students need to construct factor portfolios, run factor regressions, analyze factor exposures, or implement systematic equity strategies.
ai-visual-accuracy-check
Use AI to compare rendered HTML to original PDF page. AI makes contextual judgment about visual accuracy with explainable reasoning. BLOCKING quality gate - stops pipeline if score below 85%.
github-actions-versions
Use when writing or updating GitHub Actions workflow files (.github/workflows/*.yml) - provides latest version tags for official and popular third-party actions to avoid using outdated versions