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New to skills? Learn how they workDeploy, monitor and network the systems your apps run on.
Your AI manages Uncloud clusters to deploy services, configure ingress, and handle network routes. It uses the `uc` CLI to control Docker containers, WireGuard mesh, and Caddy reverse proxy settings across machines.
Your AI audits shipped apps for production readiness before launch or after merges without sending repo data externally. It identifies risks, missing fixes, and what might break in production using local evidence.
Your AI forks private projects, strips secrets, and packages them for safe public release. It runs a pipeline of forking, sanitizing, and generating CLAUDE.md, setup scripts, and README files for open-source publishing.
Your AI diagnoses interface errors, drops, CRC failures, duplex mismatches, flapping, and speed negotiation problems on routers, switches, and Linux hosts. It compares counter trends over time and inspects both ends of a link for hardware issues.
Your AI reviews router and switch configs before deployment to spot dangerous commands, duplicate IPs, subnet overlaps, and stale ACL or route-map references. It checks Cisco IOS-style security hygiene and flags management-plane risks.
Your AI collects detailed read-only evidence to troubleshoot BGP neighbor states, route exchanges, prefix policies, and AS path filters. It runs platform-specific commands and compares advertised, received, and installed routes for accurate diagnosis.
Your AI manages the Nasiko CLI lifecycle with pinned installs, read-only status checks, and qualified uninstalls. It enforces explicit user consent, telemetry boundaries, and secure handling of secrets during install or removal.
Turn your Kubernetes manifests into production-ready deployments with proper resource management and security. It provides templates for probes, RBAC, autoscaling, ConfigMaps, Secrets, and kubectl debugging commands.
Your AI inspects if ML training is available on a completed Itô compute booking. It confirms training eligibility without running trainers or booking resources, reporting missing capabilities and avoiding unauthorized operations.
Your AI verifies whether model serving is available on a completed Itô compute booking. It confirms eligibility without launching or managing serving stacks, reporting missing capabilities instead of attempting unauthorized actions.
Query GPU inventory, submit fixed-rate RFQs, check compute status, and manage device credentials via the official Itô compute CLI. It supports renting or purchasing GPU compute with authenticated requests and status tracking.
Your AI sets up WireGuard VPN servers and clients for remote access to home networks, including key generation and peer configuration. It explains split vs full tunnel routing and helps troubleshoot connection problems on various platforms.
Your AI helps split a home network into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, or MikroTik. It configures trunk ports, firewall rules, and maps wireless SSIDs to VLANs for device isolation and security.
Your AI installs and configures Pi-hole for network-wide ad blocking, DNS-over-HTTPS, DHCP integration, and local DNS records on home networks. It also troubleshoots DNS resolution issues caused by Pi-hole and manages blocklists.
Your AI prepares and reviews changes to home or small-lab networks involving VLANs, local DNS filtering, firewall rules, and VPN access. It creates staged migration plans and checks rollback paths to avoid locking you out of critical network devices.
Your AI designs or fixes home and homelab networks with gateways, switches, access points, IP ranges, DHCP, and DNS. It guides you through device roles, common pitfalls, and future-proof IP planning for growing home setups.
Your AI manages GitHub issues, pull requests, CI status, and releases with the gh CLI. It handles triage, merge readiness, security alerts, and contributor workflows beyond basic git commands.
Your AI sets up identical development environments across macOS and Linux with one declarative config. It installs system packages, language tools, and local services without containers or sudo, solving 'works on my machine' issues for teams.
Investigate ECC Tools GitHub App cost spikes, runaway PR creation, and usage limit bypasses. Your AI audits billing, webhook handling, queue workers, and premium model enforcement to trace and report cost and usage issues.
Your AI provides Docker and Docker Compose setups for local development with multi-service stacks and container security. It includes hardened CLI installers, networking, volumes, and cross-platform validation for Linux, macOS, and Windows.
Your AI guides you through deployment strategies and CI/CD pipelines for web apps. It covers Docker containerization, health checks, rollback methods, and environment setups to prepare your app for production releases.
Your AI builds monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar tools. It organizes panels by health, performance, resources, and risks, avoiding clutter and vanity metrics.
Your AI continuously checks your deployed website or app URL for errors and performance issues after releases. It watches HTTP status, console errors, API health, static assets, and SSE streams to catch regressions early.
Your AI measures web page, API, and build performance before and after changes. It collects browser metrics, API latency, and build times to detect regressions and compare technology stacks.