
Run database migrations safely during deployment — framework-specific commands, pre-deploy vs post-deploy timing, health gates, and rollback strategies. Use when the app has a database migration system and needs migrations run during deployment.
Guide rollback decisions after failed deployments — when to rollback vs retry, verification after rollback, and state preservation. Use when a deployment fails repeatedly, the app is unreachable after deploy, or the user requests a rollback.
Diagnose domain resolution, TLS certificate provisioning, and reverse proxy routing issues. Use when a domain is not resolving, TLS certificates fail, proxy returns 502/503/504, or custom domains are stuck in pending status.
Guide users through connecting GitHub to Nixopus when no GitHub connector exists. Covers GitHub App installation for cloud users and GitHub App manifest setup for self-hosted users.
Verify a deployment is healthy after it completes — HTTP probes, healthcheck endpoints, container stability, log scanning, and port alignment. Use after any deployment to confirm the app is running and reachable.
Build and deploy Node.js applications — version detection, package managers, framework-specific builds, monorepo support, and Dockerfile patterns. Use when deploying a Node.js, JavaScript, or TypeScript project, or when package.json is detected in the repository.
Deploy static file sites — Caddy/nginx serving, Staticfile config, and Dockerfile patterns. Use when deploying a static HTML site with no server-side runtime, or when index.html or a Staticfile is detected at the project root.
Build and deploy Ruby applications — Bundler, Rails, Rack, asset pipeline, bootsnap, and Dockerfile patterns. Use when deploying a Ruby or Rails project, or when a Gemfile is detected.
Build and deploy Python applications — uv, poetry, pdm, pipenv, pip, framework detection, and Dockerfile patterns. Use when deploying a Python project, or when requirements.txt, pyproject.toml, or Pipfile is detected.
MCP server discovery, tool invocation, and provider catalog integration. Load when a task involves external services, third-party tools, or when the user asks about MCP servers.
Build and deploy Java applications — Maven, Gradle, Spring Boot, version detection, and Dockerfile patterns. Use when deploying a Java project, or when pom.xml or build.gradle is detected.
Fix-via-PR workflow, file operations, connector resolution, and GitHub safety rules. Load when performing GitHub operations like creating branches, PRs, or file changes.
Detect required environment variables from source code, config files, and .env examples. Use when preparing for deployment, checking for missing env vars, or when the user asks about required environment configuration.
Generate ecosystem-specific .dockerignore files to reduce build context size and prevent secret leaks. Use when no .dockerignore exists, when the build context is large, or when secrets may be leaking into images.
Build and deploy C/C++ applications — CMake, Meson, Ninja, and Dockerfile patterns. Use when deploying a C or C++ project, or when CMakeLists.txt or meson.build is detected.
Build and deploy Deno applications — version detection, dependency caching, and Dockerfile patterns. Use when deploying a Deno project, or when deno.json or deno.jsonc is detected.
Compressed catalog of all Nixopus API operations for the nixopus_api() tool
Generate Caddyfile configurations for static sites and reverse proxies — SPA fallback routing, cache headers, compression, redirects, and error pages. Use when deploying a static site that needs custom Caddy configuration, or when the user needs SPA routing, caching, or redirect rules.
Generate docker-compose.yml for multi-service setups including databases, caches, and service dependencies. Use when the app needs a database, cache, message broker, or has multiple independently deployable services.
Size container memory and CPU limits, diagnose OOM kills and CPU throttling, and recommend resource adjustments by ecosystem. Use when containers are being OOM-killed, running slowly, or when setting initial resource limits for a deployment.
Sub-agent routing table — which agent handles diagnostics, machine health, infrastructure, GitHub, billing, and notifications. Load when the current task is not a direct deployment.
Full deploy pipeline — source detection, hints-driven analysis, project creation, deployment monitoring, and live URL delivery. Load when the user wants to deploy an application.
Analyze a repository to determine ecosystem, deployment targets, ports, build commands, and monorepo structure. Use when starting a new deployment, onboarding a repository, or when the user asks what stack or framework a project uses.
Layer-by-layer diagnostic workflow for application and container issues — deployment logs, container state, HTTP probes. Load when investigating a deployment failure or runtime issue.
Generate production-ready multi-stage Dockerfiles per ecosystem with best practices. Use when the user needs a Dockerfile, asks about containerization, or when no Dockerfile exists in the repository.
Domain setup for applications. Preferred path is passing domains at creation time via createProject. Falls back to add_application_domain for post-creation attachment or custom domains.
Build and deploy .NET applications — ASP.NET Core, version detection, self-contained builds, and Dockerfile patterns. Use when deploying a .NET or C# project, or when a .csproj file is detected.
Build and deploy Elixir and Phoenix applications — version detection, mix releases, and Dockerfile patterns. Use when deploying an Elixir or Phoenix project, or when mix.exs is detected.
Diagnose deployment failures, container crashes, and networking issues using structured pattern matching on logs and container state. Use when a deployment fails, a container crashes or exits unexpectedly, or the app is unreachable after deployment.
Build and deploy Gleam applications — erlang-shipment, version detection, and Dockerfile patterns. Use when deploying a Gleam project, or when gleam.toml is detected.
Build and deploy Go applications — version detection, static binaries, CGO, workspaces, and Dockerfile patterns. Use when deploying a Go project, or when go.mod is detected.
Structured incident response workflow — severity classification, diagnosis delegation, auto-fix decisions, notification, and post-incident review. Use when an automated failure event is received or when the user reports a production incident.
Machine-level diagnostic layers, lifecycle management (restart/pause/resume), metrics analysis, and backup operations. Load when investigating server health or managing machine state.
Deploy multi-service monorepo applications — service discovery, dependency ordering, shared build contexts, selective deployment, and compose generation. Use when the repository contains multiple deployable services, apps, or packages.
Look up Nixopus platform documentation at runtime. Use when the user asks about Nixopus features, configuration, concepts, self-hosting, API reference, guides, or anything where accurate product information is needed. Prevents hallucination by fetching the latest docs.
Build and deploy PHP applications — Composer, Laravel, Symfony, FrankenPHP, PHP-FPM, and Dockerfile patterns. Use when deploying a PHP project, or when composer.json or index.php is detected.
Validate deployment readiness before triggering a build — check Dockerfile, ports, env vars, healthchecks, and resource config. Use before any deployment to catch common configuration issues early.
Build and deploy Rust applications — version detection, release binaries, cargo-chef, and Dockerfile patterns. Use when deploying a Rust project, or when Cargo.toml is detected.
Self-healing loop for failed deployments — diagnose, fix, redeploy up to 3 attempts, then escalate or rollback. Load when a deployment fails or build errors occur.
Deploy shell script applications — interpreter detection, setup scripts, and Dockerfile patterns. Use when deploying a shell script project, or when start.sh is detected.