Technical Writing

Oak AI project TypeScript coding conventions including naming patterns (kebab-case files, PascalCase components, camelCase functions), component structure, error handling with cause, state management patterns, and tRPC implementation. Use when writing, reviewing, or refactoring code.

Searches the web, fetches documentation, and searches GitHub code. Use when you need current information, documentation, or real-world code examples from the web.

This skill refines rough ideas into fully-formed designs through collaborative questioning and exploration. Triggers: "help me brainstorm", "let's think through", "explore options", "what are some approaches", "help me design", "think through this with me", "ideate on", "what are my options". Use before writing code or plans when the approach is unclear. Not for mechanical/routine tasks where the solution is already known.

This skill provides tools and techniques for Postmill/Reddit-like forum automation. Includes account creation, posting, forum creation and wiki management. Suitable for tasks requiring complex operations on forum platforms.

Refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Use before writing code or implementation plans.

Expert knowledge for testing in litestar-vite. Use when writing pytest tests for Python or Vitest tests for TypeScript.

Provides Playwright test patterns for resilient locators, Page Object Models, fixtures, web-first assertions, and network mocking. Must use when writing or modifying Playwright tests (.spec.ts, .test.ts files with @playwright/test imports).

Provides Python patterns for type-first development with dataclasses, discriminated unions, NewType, and Protocol. Must use when reading or writing Python files.

Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.

Fetches Zig language and standard library documentation via CLI. Activates when needing Zig API details, std lib function signatures, or language reference content that isn't covered in zig-best-practices.

Provides TypeScript patterns for type-first development, making illegal states unrepresentable, exhaustive handling, and runtime validation. Must use when reading or writing TypeScript/JavaScript files.

iOS Simulator automation using AXe CLI for touch gestures, text input, hardware buttons, screenshots, video recording, and accessibility inspection. Use when automating iOS Simulator interactions, writing UI tests, capturing screenshots/video, or inspecting accessibility elements. Triggers on iOS Simulator automation, AXe CLI usage, simulator tap/swipe/gesture commands, or accessibility testing tasks.

Provides Zig patterns for type-first development with tagged unions, explicit error sets, comptime validation, and memory management. Must use when reading or writing Zig files.

Provides Go patterns for type-first development with custom types, interfaces, functional options, and error handling. Must use when reading or writing Go files.

Claude Codeセッションの標準的なMarkdownフォーマット規約。セッションログ、対話履歴、ツール実行結果を一貫した構造で記録する必要がある場合に使用。不正確な情報への注釈方法とnb標準のハッシュタグ形式も定義

Provides React patterns for hooks, effects, refs, and component design. Covers escape hatches, anti-patterns, and correct effect usage. Must use when reading or writing React components (.tsx, .jsx files with React imports).

Fetches web content with intelligent content extraction, converting HTML to clean markdown. Use for documentation, articles, and reference pages http/https URLs.

Automated skill creation workshop with intelligent source detection, smart path management, and end-to-end workflow automation. This skill should be used when users want to create a new skill or convert external resources (GitHub repositories, online documentation, or local directories) into a skill. Automatically fetches, organizes, and packages skills with proactive cleanup management.

Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.

Create structured implementation plans for Symfony features with clear steps, dependencies, and acceptance criteria