What problem does it solve? Deploying to Netlify involves many paths — Git continuous deployment, manual CLI uploads, drag-and-drop, Deploy to Netlify buttons — each with its own configuration rules, footguns, and failure modes. This Skill gives an AI agent the exact, current facts needed to link repos, run deploys, configure per-context build settings, and diagnose failed deploys without searching documentation. ## Core Features & Use Cases - Git continuous deployment and previews: Connect a repo, configure production branches, Deploy Previews, branch deploys, and skip-deploy tokens like [skip ci]. - CLI and manual deploys: Run netlify deploy, --prod, and anonymous deploys, with warnings about .netlify/state.json in .gitignore and manual --prod deploys being replaced by the next Git push. - Deploy configuration and troubleshooting: Write per-context netlify.toml build settings, set up build hooks and Deploy to Netlify buttons, enable skew protection, and fix failed or secrets-flagged deploys. - Use Case: A developer pushes code and the deploy fails secrets scanning. The agent explains that a real leaked secret must be rotated, or a false positive scoped narrowly with SECRETS_SCAN_OMIT_KEYS, and that the previously published deploy is still live so there is nothing to roll back. ## Quick Start Ask the agent to link this repository to a Netlify site and create a production deploy using the Netlify CLI.