$ skills --list
AIエージェントスキルを閲覧・発見
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AIエージェントスキルを閲覧・発見
Showing 721-740 of 44358 skills
Take a screenshot of the plugin UI using the standalone app CLI for debugging and documentation
Guide to Jujutsu (jj) version control system. Use when working with commits, branches, version control, rebasing, or when the user mentions jj, git, or version control operations.
Guide to the AsyncDrop pattern for async cleanup in Rust. Use when working with AsyncDropGuard, implementing AsyncDrop trait, or handling async resource cleanup.
Upgrade simple-icons to the latest version and preserve any removed icons by sourcing them from the previous version into common/icons/customIcons.ts and updating icon mappings. Use whenever bumping or upgrading simple-icons in this repo.
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.
This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.
Expert guidance for creating, writing, building, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with slash commands and code review processes.
This skill should be used when working with DSPy.rb, a Ruby framework for building type-safe, composable LLM applications. Use this when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers (OpenAI, Anthropic, Gemini, Ollama), building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.
Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation, refactoring requests, code review, or when the user mentions DHH, 37signals, Basecamp, HEY, or Campfire style. Embodies REST purity, fat models, thin controllers, Current attributes, Hotwire patterns, and the "clarity over cleverness" philosophy.
Write Ruby gems following Andrew Kane's proven patterns and philosophy. Use when creating new Ruby gems, refactoring existing gems, designing gem APIs, or when the user wants clean, minimal, production-ready Ruby library code. Triggers on requests like "create a gem", "write a Ruby library", "design a gem API", or mentions of Andrew Kane's style.
Analyze PR diffs and generate review comments from code quality, security, and performance perspectives. Use for code reviews, quality checks, and security analysis.
Standard code review for medium PRs (100-500 lines). Includes code quality, security basics, and test coverage analysis.
In-depth code review for large PRs (>500 lines). Full analysis including architecture, performance, security, and maintainability.
Quick code review for small PRs (<100 lines). Focuses on basic code quality, naming conventions, and obvious bugs.
A skill that makes a kebab for the user.