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game-networking游戏网络

Agent Skill

game-networking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

424

周安装

17

GitHub Stars

4

下载量

137
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:game-networking(游戏网络)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/game-networking
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill game-networking
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/alphaonedev/openclaw-graph --skill game-networking

简介

用于实现多人游戏网络同步,支持 UDP/TCP 协议和状态一致性维护。

  • 适用于在线射击、MMO 或协作类游戏的多玩家实时通信需求。
  • 可处理服务器-客户端架构、网络中断恢复和延迟优化问题。
  • 部署前需明确网络拓扑结构、端口配置及安全策略边界。game-networking 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 涉及玩家数据同步时应评估带宽占用与反作弊机制兼容性。

SKILL.md

game-networking

Purpose

This skill allows the AI to implement multiplayer game networking, managing protocols (e.g., UDP, TCP), minimizing latency, and ensuring game state synchronization for seamless player interactions.

When to Use

Use this skill when building multiplayer games that require real-time communication, such as online shooters, MMOs, or cooperative adventures. Apply it for scenarios involving player synchronization, server-client architectures, or handling network interruptions in game loops.

Key Capabilities

  • Handles UDP for low-latency, unreliable data transmission and TCP for reliable, ordered delivery.
  • Implements latency compensation via interpolation and prediction algorithms to smooth gameplay.
  • Synchronizes game states using techniques like delta encoding and authoritative servers.
  • Supports NAT traversal and peer-to-peer connections for reduced server dependency.
  • Manages bandwidth optimization through packet compression and prioritization.

Usage Patterns

To use this skill, first initialize a network context, then establish connections, send/receive data, and handle disconnections. Always wrap network operations in try-catch blocks for robustness. For example, in a game loop, check for incoming packets every frame and update game state accordingly. Use asynchronous patterns to avoid blocking the main thread. If authentication is needed, set the environment variable $GAME_NETWORKING_API_KEY before invoking commands.

Common Commands/API

Interact via OpenClaw CLI or REST API. CLI commands require the skill to be activated first with openclaw activate game-networking.

  • CLI Commands:

- Initialize a network session: openclaw game-networking init --protocol udp --port 5000 --key $GAME_NETWORKING_API_KEY - Example: Sets up a UDP server on port 5000, requiring an API key. - Send a packet: openclaw game-networking send --host 192.168.1.1 --data '{"player_pos": [10, 20]}' - Flags: --host for target IP, --data for JSON payload. - Receive packets: openclaw game-networking listen --timeout 5 - Listens for incoming data with a 5-second timeout.

  • API Endpoints:

- POST /api/network/connect: Establishes a connection; body: {"protocol": "udp", "host": "localhost", "port": 5000} - Requires header: Authorization: Bearer $GAME_NETWORKING_API_KEY - GET /api/network/status: Retrieves current latency and connection stats; query param: ?sessionID=123 - PUT /api/network/sync: Sends game state updates; body: {"state": {"players": [{"id": 1, "pos": [5, 10]}]}}

  • Code Snippets:

- Initialize and connect in Python: import openclaw api_key = os.environ.get('GAME_NETWORKING_API_KEY') session = openclaw.game_networking.init(protocol='udp', port=5000, key=api_key) session.connect(host='192.168.1.1') - Send data: data = {'player_pos': [10, 20]} openclaw.game_networking.send(session, data)

  • Config Formats:

- Use JSON for configurations, e.g.: {"protocol": "tcp", "maxLatency": 100, "syncInterval": 50} - Save as network-config.json and pass via CLI: openclaw game-networking init --config network-config.json

Integration Notes

Integrate this skill into game engines like Unity or Godot by importing the OpenClaw SDK and calling functions from your scripts. For Unity, add the OpenClaw package via NuGet and reference it in C# scripts. Always verify dependencies: ensure the skill is compatible with your game's architecture (e.g., client-server vs. P2P). If using with other OpenClaw skills, chain them; for example, use game-auth first to handle user logins, then pass the token to network commands via $GAME_NETWORKING_API_KEY. Test integrations in a simulated environment to handle firewall issues.

Error Handling

Anticipate common errors like connection timeouts, packet loss, or invalid API keys. Use try-except blocks for CLI/API calls; for example, catch NetworkError for failed connections. Specific patterns:

  • If a command fails with "Timeout", retry up to 3 times with exponential backoff: openclaw game-networking send --retry 3.
  • For API errors, check HTTP status codes (e.g., 401 for unauthorized; respond by prompting for $GAME_NETWORKING_API_KEY).
  • In code, handle exceptions like this: try: response = openclaw.game_networking.listen(timeout=5) except openclaw.NetworkTimeoutError as e: print(f"Timeout occurred: {e}. Retrying...") # Implement retry logic here

Log errors with timestamps and include debug flags in commands, e.g., openclaw game-networking init --debug to output detailed traces.

Usage Examples

  1. Set up a multiplayer lobby: Use this to create a simple server for player connections. First, run openclaw game-networking init --protocol tcp --port 8080 --key $GAME_NETWORKING_API_KEY. Then, in your game code, connect clients with: ```python import openclaw session = openclaw.game_networking.connect(host='localhost', port=8080) session.send({'action': 'join_lobby', 'player_name': 'User1'})
2. **Synchronize player positions in a real-time game:** Initialize with `openclaw game-networking init --protocol udp`. In the game loop, send updates: ```python
while game_running:
    pos = get_player_position()
    openclaw.game_networking.send(session, {'player_pos': pos})
    incoming = openclaw.game_networking.receive()
    if incoming: update_game_state(incoming)

Graph Relationships

  • Depends on: authentication (for secure connections), game-physics (for synchronized simulations)
  • Related to: game-dev cluster skills like game-ai (for intelligent network behaviors), data-storage (for persisting game states)
  • Conflicts with: none directly, but avoid overlapping with low-level socket implementations

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.01%
按下载量换算47

Claude

33.52%
按下载量换算46

Cursor

18.51%
按下载量换算25

Gemini CLI

9.01%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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