vue-best-practices
vue-best-practices is a set of guidelines and configurations for building robust and maintainable Vue 3 applications with TypeScript.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
vue-best-practices is a set of guidelines and configurations for building robust and maintainable Vue 3 applications with TypeScript.
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
In-game development hub for World of Warcraft addon developers. Centralizes debugging, testing, error capture, and performance monitoring with universal copy support.
mcp-client is a universal client for connecting to MCP servers, allowing for efficient browser session management and multi-step operations.
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.
auto-debug-command is a skill that automates the execution and debugging of shell commands, utilizing technologies like run_shell_command in detached mode.
Gemini is a skill that utilizes the Google Gemini AI model to provide an alternative perspective, enhancing thinking accuracy and decision-making capabilities.
app-modify-workflow is a systematic 6-stage workflow for modifying and improving existing app features, focusing on changing, debugging, and refining UI/UX elements
Benchmark Manager is a skill that manages AILANG evaluation benchmarks with features like prompt integration, debugging, and best practices for AI model evaluation.
simulation-dry-run is a skill used for debugging and testing fund-moving scripts, approvals, and strategy flows in AI agents.
tmux is a terminal multiplexer that enables multiple windows and sessions to run in the background, allowing for efficient process management.
ecs is a skill for working with the Entity Component System, including architecture, data flow, and entity serialization, using a custom sparse-set ECS framework with typed array storage