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waiting-tips

Show bilingual learning tips while OpenClaw is thinking. 75 tips covering AI interaction, prompt engineering, productivity, and wisdom. Non-intrusive, works on Telegram, Feishu, WhatsApp, and all platforms.

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Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 waiting-tips 技能。 若已安装,则直接安装 waiting-tips 技能。

Overview

Skill Key
dongsheng123132/waiting-tips
Author
dongsheng123132
Source Repo
openclaw/skills
Version
1.0.0
Source Path
skills/dongsheng123132/waiting-tips
Latest Commit SHA
b35ae1bd3ff85379992f27d0c524bee1520d0014

Extracted Content

SKILL.md excerpt

# Waiting Tips — Learn While OpenClaw Thinks

Show a random bilingual (zh/en) learning tip every time the user waits for a response. Tips cover AI interaction, prompt engineering, productivity, and wisdom.

## When to use

Automatically: before every AI response, send a tip message to fill the waiting time.

Manually: when the user says "show me a tip", "give me a tip", "学习小贴士", "来个 tip".

## How it works

1. User sends a message to OpenClaw
2. Before the AI starts processing, a random tip is sent as a quick reply
3. The tip is displayed while the AI generates the full response
4. Works on all channels: Telegram, Feishu/Lark, WhatsApp, Discord, Slack, etc.

## Tip format

Each tip is bilingual: `中文 | English`

Example:
```
💡 给 AI 足够的上下文,回答质量翻倍 | Give AI enough context — quality doubles
```

## Tip categories (75 tips)

- **AI Interaction** (15) — context, multi-turn, verification
- **Prompt Engineering** (15) — CoT, ReAct, few-shot, meta-prompting
- **OpenClaw** (15) — commands, features, best practices
- **Productivity** (15) — code review, regex, templates, reports
- **Wisdom** (15) — AI philosophy, learning mindset

## Display modes

The skill supports multiple display styles:

- `emoji` — 💡 中文 tip | English tip (default)
- `card` — bordered card with header
- `zh-only` — Chinese only
- `en-only` — English only

## Adding custom tips

Add a line to any `tips/*.txt` file in the skill directory:

```
你的新 tip | Your new tip in English
```

Create new category files like `tips/coding.txt` for new topics.

README excerpt

# openclaw-waiting-tips

> 75 bilingual tips — learn while OpenClaw thinks!
>
> OpenClaw 思考时显示 75 条中英双语 tips,等待变学习!

```
💡 给 AI 足够的上下文,回答质量翻倍 | Give AI enough context — quality doubles
```

Every time you chat with OpenClaw on Telegram, Feishu, WhatsApp, Discord, or any platform, a random tip shows while the AI is thinking. Non-intrusive, bilingual, useful.

在 Telegram、飞书、WhatsApp、Discord 等任何平台和 OpenClaw 聊天时,AI 思考期间随机显示一条 tip。不打断、双语、实用。

## Install | 安装

### Method 1: ClawHub (recommended)

```bash
clawhub install waiting-tips
```

### Method 2: Local install

```bash
git clone https://github.com/dongsheng123132/openclaw-waiting-tips.git
openclaw plugins install -l ./openclaw-waiting-tips
```

### Method 3: Manual

Copy the `openclaw-waiting-tips/` folder to `~/.openclaw/skills/waiting-tips/`

```bash
cp -r openclaw-waiting-tips ~/.openclaw/skills/waiting-tips
```

**Done.** Tips will show up next time you chat with OpenClaw.

**搞定。** 下次和 OpenClaw 聊天就能看到 tips。

## How It Works | 原理

```
You send a message on Telegram/Feishu/WhatsApp
         │
         ▼
   OpenClaw receives it
         │
    ┌────▼────┐
    │ waiting  │──▶  💡 Random tip sent immediately
    │ _tip     │     (< 100ms, while AI thinks)
    └────┬────┘
         │
    ┌────▼────┐
    │ AI      │  ← 3~10 seconds processing
    │ thinks  │
    └────┬────┘
         │
    ┌────▼────┐
    │ Full    │──▶  AI response sent
    │ response│
    └─────────┘
```

The plugin registers a `waiting_tip` tool. OpenClaw can call it before processing complex requests, or when users ask for tips directly.

## Usage | 使用

### Automatic (built into OpenClaw flow)

Just chat normally — tips appear automatically during wait times.

### Manual (ask for tips)

```
You: 来个 tip
Bot: 💡 Chain of Thought: 让 AI 一步步思考 | Chain of Thought: make AI think step by step

You: show me 3 tips
Bot: 💡 AI 的输出质量 = 你的输入质量 | AI output qual...

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