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What Should We Do? Skill Install & Guide

SkillClawHub

io.clawhub.scottfo/whatdo · v2.1.0

What should we do? Smart activity discovery with live weather, local movie showtimes, streaming recommendations, game library matching, group profiles, routines & traditions, favorites/blacklists, business hours, ratings filtering, Quick Mode for instant suggestions, calendar integration (Google Calendar + cron reminders), group invites via Telegram/message channels, and RSVP tracking. Helps you stop scrolling and start living. Use when someone says 'what to do', 'bored', 'fun', 'tonight', 'date night', 'things to do', 'activity ideas', 'entertainment', 'adventure', 'what should we do', 'need plans', 'something fun', 'stay home', 'game night', 'movie night', 'put it on the calendar', 'send invites', 'who's coming', or just seems like they need a nudge off the couch. Optional Google Places integration for real nearby suggestions with ratings, hours, and links.

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars4
Downloads3.4k
Installs116

Overview

What should we do? Smart activity discovery with live weather, local movie showtimes, streaming recommendations, game library matching, group profiles, routines & traditions, favorites/blacklists, business hours, ratings filtering, Quick Mode for instant suggestions, calendar integration (Google Calendar + cron reminders), group invites via Telegram/message channels, and RSVP tracking. Helps you stop scrolling and start living. Use when someone says 'what to do', 'bored', 'fun', 'tonight', 'date night', 'things to do', 'activity ideas', 'entertainment', 'adventure', 'what should we do', 'need plans', 'something fun', 'stay home', 'game night', 'movie night', 'put it on the calendar', 'send invites', 'who's coming', or just seems like they need a nudge off the couch. Optional Google Places integration for real nearby suggestions with ratings, hours, and links. What Should We Do? is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

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AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-30
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from clawhub
Verified Clientsopenclaw、Claude Code、Claude Desktop 等
Security Tier: A 级 · 源码开放合规 (A)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "scottfo/whatdo" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai cursor -y

Setup tutorial

  1. Open the What Should We Do? page and confirm the source is ClawHub.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .cursor/skills/whatdo

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai cursor -y

One-click API download

mkdir -p .cursor/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .cursor/skills/whatdo

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install scottfo/whatdo
mkdir -p .cursor/skills/whatdo
cp -R ./skills/whatdo/. .cursor/skills/whatdo/

# 源：./skills/whatdo/SKILL.md
# 目标：.cursor/skills/whatdo/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai trae -y

One-click API download

mkdir -p .trae/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .trae/skills/whatdo

User directory

mkdir -p ~/.trae/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.trae/skills/whatdo

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai lingma -y

One-click API download

mkdir -p .lingma/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .lingma/skills/whatdo

User directory

mkdir -p ~/.lingma/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.lingma/skills/whatdo

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .workbuddy/skills/whatdo

User directory

mkdir -p ~/.workbuddy/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.workbuddy/skills/whatdo

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.claude/skills/whatdo

ClawHub CLI, then copy

clawhub install scottfo/whatdo
mkdir -p ~/.claude/skills/whatdo
cp -R ./skills/whatdo/. ~/.claude/skills/whatdo/

# 源：./skills/whatdo/SKILL.md
# 目标：~/.claude/skills/whatdo/SKILL.md
# https://clawhub.ai/scottfo/whatdo

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai kimi -y

One-click API download

mkdir -p .agents/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .agents/skills/whatdo

User directory

mkdir -p ~/.agents/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.agents/skills/whatdo

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai qwen -y

One-click API download

mkdir -p .qwen/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .qwen/skills/whatdo

User directory

mkdir -p ~/.qwen/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.qwen/skills/whatdo

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .windsurf/skills/whatdo

User directory

mkdir -p ~/.codeium/windsurf/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.codeium/windsurf/skills/whatdo

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai cline -y

One-click API download

mkdir -p .agents/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d .agents/skills/whatdo

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -p /tmp/whatdo.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
mkdir -p .github/skills/whatdo
unzip -o /tmp/whatdo.zip -d .github/skills/whatdo

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init scottfo/whatdo --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/whatdo
curl -sL "https://clawhub.ai/api/v1/download?slug=whatdo&version=2.1.0" -o /tmp/whatdo.zip
unzip -o /tmp/whatdo.zip -d ~/.codex/skills/whatdo

ClawHub CLI, then copy

clawhub install scottfo/whatdo
mkdir -p ~/.codex/skills/whatdo
cp -R ./skills/whatdo/. ~/.codex/skills/whatdo/

# 源：./skills/whatdo/SKILL.md
# 目标：~/.codex/skills/whatdo/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install scottfo/whatdo

# 安装后 SKILL.md 位于：
#   ./skills/whatdo/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/whatdo/）

# 仅查看不安装
clawhub inspect scottfo/whatdo

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for What Should We Do?

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for What Should We Do??

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply What Should We Do? during conversations?

Verify SKILL.md is located at .cursor/skills/What Should We Do?/SKILL.md (Cursor) or ~/.claude/skills/What Should We Do?/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

What Should We Do? Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from What Should We Do?
Request ArgumentsJSON Schema
{
  "skill": "What Should We Do?",
  "rulePath": ".cursor/skills/what-should-we-do-/SKILL.md",
  "userGoal": "请使用 What Should We Do? 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • When your AI Agent needs tool calling capabilities in this domain
  • Automating repetitive workflows in your IDE or terminal
  • Pairing with modern clients supporting MCP/Skill standards
When NOT to Use
  • When missing required API secrets or local runtime prerequisites
  • Pure conversational requests that don't need external system access
Recommended Workflow Pairing:

What Should We Do? + Scenario Prompt → Complete Agent Automation

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

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PreviewListed on AgentHub: What Should We Do?
HTML
<a href="https://myagenthub.cn/p/io.clawhub.scottfo/whatdo" title="Listed on AgentHub: What Should We Do?" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.scottfo/whatdo?lang=en" alt="Listed on AgentHub: What Should We Do?" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: What Should We Do?](https://myagenthub.cn/badge/io.clawhub.scottfo/whatdo?lang=en)](https://myagenthub.cn/p/io.clawhub.scottfo/whatdo)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.clawhub.scottfo/whatdo",
  "type": "skill",
  "version": "2.1.0",
  "displayName": "What Should We Do?",
  "description": "What should we do? Smart activity discovery with live weather, local movie showtimes, streaming recommendations, game library matching, group profiles, routines & traditions, favorites/blacklists, business hours, ratings filtering, Quick Mode for instant suggestions, calendar integration (Google Calendar + cron reminders), group invites via Telegram/message channels, and RSVP tracking. Helps you stop scrolling and start living. Use when someone says 'what to do', 'bored', 'fun', 'tonight', 'date night', 'things to do', 'activity ideas', 'entertainment', 'adventure', 'what should we do', 'need plans', 'something fun', 'stay home', 'game night', 'movie night', 'put it on the calendar', 'send invites', 'who's coming', or just seems like they need a nudge off the couch. Optional Google Places integration for real nearby suggestions with ratings, hours, and links.",
  "author": {
    "name": "scottfo",
    "url": "https://clawhub.ai/scottfo"
  },
  "homepage": "https://clawhub.ai/scottfo/whatdo",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "scottfo/whatdo",
        "version": "2.1.0",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:3426",
    "stars:4",
    "installs:116",
    "Entertainment",
    "Game",
    "Business",
    "Calendar",
    "Home"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "scottfo/whatdo",
    "originalUrl": "https://clawhub.ai/scottfo/whatdo",
    "isOfficial": false,
    "status": "active"
  }
}