RIGQUICK START
Explore a Rig before you use it
A Rig is a reusable setup of instructions and AI tools for a project or workflow. Rigs can include skills, MCP servers, and files that affect how an AI assistant behaves.
BUILD TOGETHER
A shared blueprint for your work
Review the components, preview the changes, then reuse a setup you understand.
1. Start with a familiar task
Browse coding, research, or design Rigs, or narrow results to Codex or Claude Code.
2. Review before applying
Read the description, supported runtime, compatibility, latest change, and included components. Follow links to inspect the public skills and MCPs too. Treat instructions and external services as untrusted until you understand what they do.
3. Apply with a preview and rollback
Use Rigfyi Desktop to preview the files a Rig will manage. Check the proposed changes and any account or network access it requests. Apply only what you understand; use the app's rollback option if the result is not right.
4. Keep your setup current
Check the publisher's latest updates before reapplying. If you publish a Rig, include a clear purpose, runtime requirements, and a concise changelog so others can assess changes safely.
EXAMPLE RIG
Web development
This illustrative setup shows what a Rig can include. It is not a published Rig or an installable package.
- Skills: reusable guidance for frontend development, testing, and reviewing changes.
- MCP tools: connections to tools such as a browser or project files. Review each tool's access before enabling it.
- Instructions: shared project conventions, commands, and expectations for Codex or Claude Code.
Use Desktop to preview a real Rig's managed files and requirements before applying it.