開發

Railway.app deployment patterns, environment management, and production best practices. Applied automatically when working with Railway deployments.

Generate unit tests, integration tests, and test fixtures for code. Supports Jest, Mocha, pytest. Use when writing tests or improving test coverage.This skill provides automated test generation:- Unit tests with AAA pattern (Arrange, Act, Assert)- Integration tests for APIs and databases- Test fixtures and mocks- Edge case identification- Test coverage recommendationsTriggers: "generate tests", "create unit test", "add test coverage", "write tests", "テスト生成", "テストコード作成", "カバレッジ向上"

Guide AI agents through Godot 4.x GDScript coding best practices including scene organization, signals, resources, state machines, and performance optimization. This skill should be used when generating GDScript code, creating Godot scenes, designing game architecture, implementing state machines, object pooling, save/load systems, or when the user asks about Godot patterns, node structure, or GDScript standards. Keywords: godot, gdscript, game development, signals, resources, scenes, nodes, state machine, object pooling, save system, autoload, export, type hints.

Deploy a Vibes app to exe.dev VM hosting. Uses nginx on persistent VMs with SSH automation. Supports client-side multi-tenancy via subdomain-based Fireproof database isolation.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search in FastAPI backends. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Human-in-the-Loop pattern library for CopilotKit. Use when implementing approval workflows, user input collection, option selection, or any human interaction patterns. Includes React components and hooks.

Expert knowledge for building event-driven systems with Composable Rust framework. Use when implementing reducers, designing state machines, working with effects, creating environment traits for dependency injection, building stores, or answering questions about core architectural patterns and the unidirectional data flow model.

Validates that code actually works through sandbox testing, execution verification, and systematic debugging. Use this skill after code generation or modification to ensure functionality is genuine rather than assumed. The skill creates isolated test environments, executes code with realistic inputs, identifies bugs through systematic analysis, and applies best practices to fix issues without breaking existing functionality. This ensures code delivers its intended behavior reliably.

Use when user says "update story tree", "show story tree", "show me a map", "story map", "tree diagram", "show stories", "view stories", "list stories", or asks for story visualization or tree status - autonomously maintains hierarchical story backlog by analyzing git commits, identifying under-capacity nodes, and coordinating story generation to fill gaps. Works with SQLite database using closure table pattern, prioritizes shallower nodes first, and tracks implementation status through commit analysis.

Review code for best practices and potential issues. Use when reviewing code, checking PRs, or analyzing code quality.

Rust safety patterns and secure coding. Use when writing code that handles untrusted input, uses unsafe blocks, deals with memory safety, or requires security review.

Standards for maintaining high code quality including comments, test coverage, and documentation practices

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.

Comprehensive pre-deployment validation ensuring code is production-ready. Runs complete audit pipeline, performance benchmarks, security scan, documentation check, and generates deployment checklist.

Python coding standards, best practices, type hints, and testing patterns with uv for package management. Use when writing or reviewing Python code, implementing tests, setting up Python projects, managing dependencies with uv, working with virtual environments, adding type hints, writing pytest tests, or discussing Python language features and best practices.

Multi-format document parsing tools for PDF, DOCX, HTML, and Markdown with support for LlamaParse, Unstructured.io, PyPDF2, PDFPlumber, and python-docx. Use when parsing documents, extracting text from PDFs, processing Word documents, converting HTML to text, extracting tables from documents, building RAG pipelines, chunking documents, or when user mentions document parsing, PDF extraction, DOCX processing, table extraction, OCR, LlamaParse, Unstructured.io, or document ingestion.

AIレビュー（Copilot/Codex）の確認方法、コメント対応、Resolve手順。レビュー、Copilot、Codex、コメント確認、Resolve時に使用。

Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions, structuring code logic, formatting code with consistent indentation, choosing descriptive names that reveal intent, keeping functions small and focused, removing dead code and unused imports, extracting common logic into reusable functions, maintaining consistent code style across the codebase, configuring linters and formatters, or refactoring code for better readability. Apply this skill universally across all coding tasks to ensure code quality, maintainability, and consistency with project standards. This skill should be active for all file types including TypeScript, JavaScript, Python, Ruby, Java, Go, and other programming languages.

[REPLACE] Apply domain-specific logic based on detected context. Use when [REPLACE with specific triggers].

Guides developer verification before handoff. Use when completing implementation, preparing for acceptance testing, or self-reviewing work before commit or PR.