Fivem

Fivem extends your AI assistant with the ability to fiveM RP server engineering for QBCore, ESX, and QBox. Use for framework-level scripting, fxmanifest.lua/config.lua validation, resource debugging, dependency orchestration, MLO/streaming fixes, performance optimization (client/server), artifact/gamebuild compatibility, inventory/job/gang systems, and SSH key generation for SFTP. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Fivem as its underlying capability.

Fivem works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Fivem once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

To install Fivem, copy the skill folder to `~/.claude/skills/fivem-dev/` for use across all your projects, or `.claude/skills/fivem-dev/` for a single project. Restart Claude and the skill is immediately active — invoke it with `/fivem-dev` or just describe your goal and the AI will pick it up automatically.

Fivem has been installed 1,923 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.