設計

Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.

Build GTK4 desktop applications with GTKX React framework. Use when creating GTKX components, working with GTK widgets, handling signals, or building Linux desktop UIs with React.

Assess content difficulty by language proficiency level, calibrate reading level for multilingual learners, adapt content for language proficiency, and design language scaffolding. Use when creating content for non-native speakers. Activates on "language level", "proficiency calibration", "readability", or "language learners".

Verify and enforce coding standards, AI guidelines, and workspace compliance across repositories. Use for standards propagation, compliance verification, and enforcing development best practices.

PMC memory system for persistent context across sessions. Store, search, and retrieve project knowledge using semantic vector search (OpenAI embeddings) and full-text keyword search. Use when: storing important context, searching for past solutions, retrieving project-specific knowledge, or building up institutional memory.

Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).

End-to-end frontend testing with Playwright Java and Chromium. Use for UI validation, form testing, API interaction verification, and screenshot capture on failures.

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Guide for testing EDS blocks using test.html files and the development server. Covers test file structure, EDS core integration, testing patterns, and debugging workflows for Adobe Edge Delivery Services blocks.

Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. Analyzes existing designs and adapts to project aesthetics.TRIGGERS - Keywords: UI, UX, CSS, SCSS, Sass, Less, styling, styles, stylesheet, Tailwind, styled-components, emotion, CSS-in-JS, Chakra, MUI, Material UI, Radix, shadcn, headless UI, layout, flexbox, grid, responsive, mobile-first, breakpoints, media queries, animation, transition, motion, keyframes, hover, focus, active states, visual design, typography, fonts, typeface, font-family, text styling, headings, color, colors, palette, color scheme, theme, theming, dark mode, light mode, branding, spacing, padding, margin, gap, whitespace, shadows, box-shadow, borders, border-radius, rounded corners, gradients, buttons, cards, forms, inputs, modals, dialogs, navigation, navbar, sidebar, header, footer, hero section, landing page, dashboard, component styling, design system, design tokens.TRIGGERS - Phrases: "make it look better", "improve the look", "looks ugly"

Provides token-efficient navigation of PROJECT_INDEX.json for codebase analysis. Use when blast radius analysis, dead code detection, caller dependency analysis, or call stack tracing is needed. Mention 'blast radius', 'find callers', 'dead code', or provide file:line references to trigger. Primary consumer is AI agents requiring deterministic, minimal-token codebase navigation.

Use for Phase 5 of Course OS - designing complete curriculum structure including modules, lessons, sequencing, learning paths, and outcome mapping. Triggers on "/course-architecture", "design curriculum", "structure modules", "lesson sequencing", or after completing Phase 4.

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Use this skill to create or update the root AGENTS.md file to register SynthesisFlow skills for AI agent discovery. Triggers include "register SynthesisFlow", "update AGENTS.md", "setup agent guide", or initializing a new project.

Provides expert guidance for NautilusTrader algorithmic trading platform. Covers backtesting strategies, live trading deployment, event-driven architecture, and building trading systems.

Comprehensive test-driven development for Terraform providers with iterative co-development of tests, generators, and schemas. NEVER skip development or refactoring - always fix root causes in generators, schemas, or test code. Only skip resources requiring external credentials (AWS/Azure/GCP) or premium licensing. Uses terraform-plugin-testing SDK with modern assertion patterns.

Execute TDD red-green-refactor cycle with just verify gate. Use when writing new features or fixing bugs that require test coverage.

Guide for developing, validating, and packaging new Claude skills following the v1.0 specification with automated tooling

Templates, standards, and structure requirements for generating SDLC approach learning repositories. Use when creating new methodology learning repositories, artifact documentation, or validating repository structure.

DDDアーキテクチャでFastAPIのバックエンドを新規実装または既存コードベースをリファクタリングする際のガイド。レイヤー構成（domain/application/infrastructure/controller）、依存方向、責務境界、pydantic/sqlalchemy(sqlmodel)/alembic/pytestの前提、セッション管理（Dependsで1リクエスト1セッション、必要時UoW）を含む。