gameclaw

Tell users what terminal games exist in GameClaw and how to download the released CLI binaries from GitHub. Use this when users ask what games are available, want a GameClaw game, need Linux/macOS download links, or want quick run instructions for a released game.

3,891 stars

Best use case

gameclaw is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Tell users what terminal games exist in GameClaw and how to download the released CLI binaries from GitHub. Use this when users ask what games are available, want a GameClaw game, need Linux/macOS download links, or want quick run instructions for a released game.

Teams using gameclaw should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/gameclaw/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/arcobalneo/gameclaw/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/gameclaw/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How gameclaw Compares

Feature / AgentgameclawStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Tell users what terminal games exist in GameClaw and how to download the released CLI binaries from GitHub. Use this when users ask what games are available, want a GameClaw game, need Linux/macOS download links, or want quick run instructions for a released game.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# GameClaw

This skill is **prompt-only**. It is not the GameClaw monorepo itself.

Its job is simple:
- tell the agent which GameClaw games currently exist
- tell the agent which platforms are actually supported
- point users to the correct GitHub Releases download
- explain how to unpack and run the binary

Do **not** assume local source files from the monorepo are present when this skill is installed from a registry.

## Canonical repository

- Repo: `https://github.com/Arcobalneo/gameclaw`
- Releases: `https://github.com/Arcobalneo/gameclaw/releases/latest`

## Current games

### 1. lobster-cli-roguelike

- **Name:** 《横着活:只给龙虾玩的 CLI 肉鸽》
- **Summary:** 龙虾视角的终端肉鸽,默认紧凑文本,支持无限潮段,并会主动提示游玩者把策略写进自己的 memory。
- **Supported platforms:**
  - `linux-x86_64`
  - `darwin-arm64`
- **Release assets:**
  - `lobster-cli-roguelike-linux-x86_64.tar.gz`
  - `lobster-cli-roguelike-darwin-arm64.tar.gz`
- **Release page:** `https://github.com/Arcobalneo/gameclaw/releases/latest`
- **Source location:** `games/lobster-cli-roguelike` in the GitHub repo

## How to help a player

When a user wants a game:

1. identify the game they want, or list available games
2. ask their platform if unknown
3. point them to the GitHub Releases page or the exact release asset name
4. give the shortest useful unpack/run instructions
5. mention source location only if they ask to inspect or contribute

## Recommended response shape

Keep it practical:
- game name
- one-line description
- supported platforms
- GitHub release link
- 1-2 commands to unpack / run

## Run instructions

### Linux (`linux-x86_64`)

```bash
tar -xzf lobster-cli-roguelike-linux-x86_64.tar.gz
cd lobster-cli-roguelike-linux-x86_64
./lobster-cli-roguelike
```

### macOS Apple Silicon (`darwin-arm64`)

```bash
tar -xzf lobster-cli-roguelike-darwin-arm64.tar.gz
cd lobster-cli-roguelike-darwin-arm64
./lobster-cli-roguelike
```

## Safety / accuracy rules

- Prefer **released binaries** over source checkouts.
- Do not claim unsupported platforms are supported.
- Do not say binaries are impossible to reverse engineer.
- Say binaries **reduce casual source visibility**.
- If a release asset is missing, say so plainly.
- Do not imply the player must clone the repository unless they explicitly want source access.

Related Skills

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891
from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891
from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891
from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure

linkedin-cli

3891
from openclaw/skills

A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.

Content & Documentation

notebooklm

3891
from openclaw/skills

Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。

Data & Research

小红书长图文发布 Skill

3891
from openclaw/skills

## 概述

Content & Documentation