Machine Learning

Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management.

pnpm workspace YAML configuration templates and validation logic for monorepo workspace patterns. Includes 5 required standards (architecture-specific patterns for consumer vs library repos, exact path matching, no missing directories, no extra patterns, alphabetical ordering). Critical distinction between consumer repos (specific paths like packages/contracts/*) and library repos (broad patterns like packages/*). Use when creating or auditing pnpm-workspace.yaml files.

Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.

Ensure Python classes include appropriate, developer-friendly dunder methods—especially __repr__ and __str__. Use when: (1) Writing or modifying Python class definitions in .py files, (2) Refactoring existing Python classes, (3) Adding or improving __repr__, __str__, or natural arithmetic/comparison/container dunders. Do NOT use for: tests, fixtures, mocks, stubs, non-Python files (YAML, JSON, TOML), auto-generated code vendor libraries, or when user explicitly asks not to modify dunders. Ignored paths: tests/, *_test.py, test_*.py, .venv/, build/, dist/, migrations/, __init__.py.

Manage semantic version updates for any project. Handles patch, minor, and major version increments following semantic versioning. Updates all version-tracked files (e.g., package.json, pyproject.toml, etc.). Creates git tags and GitHub releases. Auto-generates CHANGELOG.md from releases.

Git worktree management for parallel SPEC development with isolated workspaces, automatic registration, and seamless MoAI-ADK integration

SPEC YAML frontmatter validation (7 required fields) and HISTORY section enforcement.

Create custom slash commands for Claude Code with proper markdown structure and YAML frontmatter.Use when: creating commands, generating slash commands, making workflow automations.Activates for: "create command", "generate command", "new command", "slash command", "make command"

Supervised/unsupervised learning, model selection, evaluation, and scikit-learn. Use for building classification, regression, or clustering models.

This skill should be used when the user asks about "entities", "relations", "architecture graph", "spec-driven development", "code annotations", "@graph anchors", mentions ".graph/" directory, asks to "add entity", "create relation", "verify sync", "check drift", discusses "code_refs", "architecture specification", or is working with YAML entity files in .graph/entities/. Provides guidance for maintaining architecture-as-code consistency.

Classification model evaluation and metrics calculation

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

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.

Master advanced machine learning. Learn scikit-learn, model selection, hyperparameter tuning, ensemble methods, and model evaluation.

Publish GitHub issues from YAML files using gh CLI. Use this skill when:- User says "publish issues to github", "create issues on github"- User provides a YAML file path in tmp/issues/- Ready to batch-create GitHub issues from approved YAML

Apply YAML-driven architecture-as-code patterns for system definition, configuration management, and automated generation. Use when designing configuration schemas, building code generators, or implementing declarative architecture definitions.

This skill should be used when users need help with htmx development, including implementing AJAX interactions, understanding htmx attributes (hx-get, hx-post, hx-swap, hx-target, hx-trigger), debugging htmx behavior, building hypermedia-driven applications, or following htmx best practices. Use when users ask about htmx patterns, server-side HTML responses, or transitioning from SPA frameworks to htmx. (user)

Automatically applies when adding configuration settings. Ensures proper dynaconf pattern with @env, @int, @bool type casting in settings.toml and environment-specific overrides.

Obsidian LiveSync の Docker Compose 環境を操作・トラブルシューティングします。compose.yaml の構成理解、環境変数（.env）の設定、CouchDB と livesync-proxy のヘルスチェック、バックアップサービスの実行、ログ確認とデバッグを行います。Docker 環境の起動・停止、コンテナの状態確認、トラブルシューティングを依頼されたときに使用してください。

Comprehensive guide for creating, configuring, and troubleshooting codemagic.yaml files for CI/CD workflows. Use when building mobile apps (Flutter, iOS, Android, React Native) with Codemagic, setting up build pipelines, configuring environment variables, implementing code signing, managing artifacts, or debugging workflow issues.