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Found 2,344 Skills
Collaborate on document creation and refinement. Merges contributions, manages versions, and produces unified documents from multiple sources.
Fix a reported bug by first enhancing tests until the bug is reproduced, then fixing the implementation, and finally confirming the enhanced tests pass.
Use this skill whenever working in a repository that uses Effect, even if the current task is in a new file or the user does not explicitly ask for Effect help. Apply it to any work that should follow the repository's Effect patterns, conventions, architecture, or supporting tooling. Also use it for questions about Effect patterns, services, layers, schemas, streams, runtimes, or typed error handling.
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.
テスト駆動開発（TDD）ワークフローを実行するスキル。 使用タイミング: (1) 新機能の実装開始時 (2) バグ修正時 (3) リファクタリング前 (4) 「テストから書いて」と言われた時 (5) 品質重視の実装が必要な時。 トリガー例: 「TDDで実装して」「テスト駆動で」「テストから書いて」 「RED-GREEN-REFACTORで」「UserServiceのテストを書いて」
QADeputy integration. Manage data, records, and automate workflows. Use when the user wants to interact with QADeputy data.
Build a production-quality CLI tool for any module or application. Auto-detects language, recommends CLI libraries, and follows a 5-step approval-gated workflow: Analyze, Design, Plan, Execute, Summarize. Don't use for building GUI/TUI apps, web APIs, or authoring one-off shell scripts.
Organize DI registrations using IServiceCollection extension methods. Group related services into composable Add* methods for clean Program.cs and reusable configuration in tests.
Эксперт по интеграционным спецификациям. Используй для документирования интеграций, webhooks, event schemas и data flows.
This skill should be used when the user asks to "implement a feature in Elixir", "refactor this module", "should I use a GenServer here?", "how should I structure this?", "use the pipe operator", "add error handling", "make this concurrent", or mentions protocols, behaviours, pattern matching, with statements, comprehensions, structs, or coming from an OOP background. Contains paradigm-shifting insights.
Python patterns for CLI tools, async concurrency, and backend services. Use when working with Python code, building CLI apps, FastAPI services, async with asyncio, background jobs, or configuring uv, ruff, ty, pytest, or pyproject.toml.
Applies software engineering best practices, design principles, and avoids common anti-patterns. Use when designing systems, reviewing code quality, refactoring legacy code, making architectural decisions, or improving maintainability.