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Found 51 Skills
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
DigitalOcean Droplets, Linux server security, Nginx, and UFW.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Configure an MCP server for GitHub Copilot with your Dataverse environment.
Use when the user asks about the Alpic CLI (`alpic`) — deploying MCP servers, viewing logs, debugging deployments, managing environment variables, configuring the playground, connecting git, and publishing to the MCP Registry.
Create and configure AI agents, upload files for RAG, manage MCP servers, and handle agent memories using the Cargo CLI. Use when the user wants to create or update agents, upload knowledge base files, connect MCP tool servers, or manage agent memories. For sending messages to agents, use the cargo-orchestration skill instead.
Implement graceful server shutdown to handle in-flight requests before stopping. Use for zero-downtime deployments and proper resource cleanup.
Patterns for running long-lived processes in tmux. Use when starting dev servers, watchers, tilt, or any process expected to outlive the conversation.
Create and manage Hetzner Cloud servers. Use when creating VPS/cloud servers, managing Hetzner infrastructure, or setting up dev/remote servers. Requires hcloud CLI.
Test local web applications with Playwright. Use when asked to verify frontend functionality, debug UI behavior, capture browser screenshots, or inspect browser logs.
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
Use when work must be verified in local Canvas Workbench, or when the user asks to run, open, or check a component in Workbench. Verifies that Canvas Workbench is available through the project's package runner, starts the local Workbench dev server, and keeps Workbench verification as part of the implementation workflow.