server

Implement server lifecycle state machines with atomic state reads and context cancellation.

Updated Jan 8, 2026
One-click install
npx skills add https://github.com/invowk/invowk --skill server
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: server
Source: https://github.com/invowk/invowk/tree/main/.claude/skills/server
Command: npx skills add https://github.com/invowk/invowk --skill server

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a reusable pattern for implementing long-running server components with a formal lifecycle (Created→Starting→Running→Stopping→Stopped) and atomic state reads, ensuring predictable behavior and safe shutdowns.

Core Features & Use Cases

  • Provides a defined state machine (Created, Starting, Running, Stopping, Stopped, Failed) to guide lifecycle transitions.
  • Offers atomic state reads via atomic.Int32, mutex-protected transitions, ready signaling, and context-aware cancellation for robust operation.
  • Reusable base components for SSH servers, TUI servers, and shared server bases to accelerate development.

Quick Start

Start a new server component using the standard lifecycle pattern in your codebase.

Frequently Asked Questions about server

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement a robust server lifecycle with a state machine in Go?

A server lifecycle state machine in Go automates transitions from Created to Running to Stopped. It enforces atomic state reads with atomic.Int32 and mutex-protected transitions to ensure predictable behavior and safe shutdowns for long-running components.

What's the best way to handle safe server shutdowns and context cancellation?

Safe server shutdowns use context-based cancellation and a defined state machine with Stopping and Stopped states. This pattern provides ready signaling and atomic state reads to prevent race conditions during the termination of long-running server components.

How do atomic state reads prevent race conditions in concurrent server components?

Atomic state reads use atomic.Int32 to access server lifecycle states without locking overhead. Combined with mutex-protected transitions, this concurrency pattern ensures safe state changes across multiple goroutines in long-running Go servers.

Can I use this server lifecycle pattern for custom SSH or TUI servers?

Yes, this server lifecycle pattern provides reusable base components specifically for SSH servers, TUI servers, and shared server bases. These components guide lifecycle transitions from Starting to Failed or Stopped for custom implementations.

Why does my long-running server fail to transition states predictably?

Unpredictable state transitions often occur without a formal state machine. Implementing defined lifecycle states with mutex-protected transitions and ready signaling enforces atomic operations, ensuring your server component safely reaches Running or Stopped.

When do I need a formal state machine for server lifecycle management?

A formal state machine is needed for long-running server components requiring safe shutdowns and predictable behavior. It defines transitions like Starting, Running, and Failed while enforcing atomic state reads and context-aware cancellation for robust operation.