context-loader
context-loader is a multi-agent AI development environment skill that loads project context to synchronize knowledge between Codex CLI and Claude Code.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
context-loader is a multi-agent AI development environment skill that loads project context to synchronize knowledge between Codex CLI and Claude Code.
qa is an opinionated Claude process for Ruby on Rails that enables maintainers to test the FLOW plugin locally before releasing.
openspec-explore is a skill that enables exploration mode for thinking and visualizing, allowing developers to read files, search code, and investigate codebases without implementing features.
elephant-build is a nature-themed, indie-web skill for building and deploying applications with SvelteKit and Cloudflare.
nextjs-best-practices is a set of guidelines for optimizing Next.js applications, focusing on Server and Client Component architecture and data fetching strategies.
shadcn is a UI component framework that allows developers to add components as source code to their projects via the CLI using commands like npx shadcn@latest
shadcn is a framework for building UI components and design systems, utilizing shadcn/ui, zustand, and tailwindcss for efficient development
commit-work is a skill that enables developers to make logical and scoped commits with descriptive messages, following specific commit styles and rules.
synthesize-inbox-entry is a skill that converts raw text into a structured inbox entry using a predefined template.
migrate-component is a skill that enables the migration of DaisyUI components into WebX templ components, utilizing a step-by-step guide.
framework-selection is a package responsible for calling prompts in a specific format, utilizing LangChain, LangGraph, and Deep Agents for layered architecture