
Use the GCP MCP server to call any Google Cloud REST API (Resource Manager, Vertex AI, Compute, Storage, IAM, etc.) via convenience tools or the generic gcp_request. Use when the user asks about Google Cloud Console, GCP projects, Vertex AI, or wants to inspect or change GCP resources without opening the browser.
Generic GitHub Pages deployment workflow. Use when the user says /deploy, asks to deploy, push to production, or publish changes.
Deploy MarkdownViewer-web-pro to production on GitHub Pages (markdownpro.eyesondash.com). Use when the user says /remotedeploy, asks to deploy, push to production, or publish changes.
Serve MarkdownViewer-web-pro locally for testing. Use when the user says /localdeploy, asks to test locally, run a local server, or preview before pushing.
Oracle-first development workflow for the Rulecoder MCP server. Use when the AI-prolog-rulecoder MCP is registered, when working with .rulecoder/ fact files, when the user mentions state machines, invariants, sm_ tools, or architectural modeling. Enforces privacy guardrails, tool usage order, and regression detection.