A bilingual learning utility that displays curated AI and productivity tips to users while the agent processes their requests.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install waiting-tips
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install waiting-tips using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Waiting Tips?
Waiting Tips is a developer-focused utility for Openclaw Skills designed to optimize the user experience during agent 'thinking' periods. By delivering random, bilingual (Chinese and English) tips, it transforms idle wait times into educational moments. The skill covers 75 distinct insights ranging from advanced prompt engineering techniques to general productivity wisdom, ensuring users remain engaged while the backend LLM generates a response.
This skill is built to be non-intrusive and platform-agnostic, providing seamless integration across various messaging interfaces. Whether you are building a bot for Telegram, WhatsApp, or Slack, Waiting Tips adds a layer of professional polish and value-added content that helps users master the art of AI interaction.
Waiting Tips Use Cases
- Reducing perceived latency during complex AI reasoning tasks by providing immediate feedback.
- Educating team members on prompt engineering best practices like Chain of Thought (CoT) and ReAct.
- Customizing the user experience on enterprise platforms like Feishu or Lark with branded or technical tips.
- Offering manual 'Tip of the Day' functionality for users seeking quick productivity hacks.
How Waiting Tips Works
- The skill monitors the message lifecycle; when a user sends a prompt, the skill triggers before the primary AI response.
- A randomized tip is selected from one of the five core categories stored in the skill's library.
- The skill formats the tip based on the configured display mode, such as emoji-prefixed text or bordered cards.
- The tip is delivered instantly to the user on their platform of choice (Telegram, WhatsApp, etc.).
- The AI agent continues its processing in the background, delivering the final answer once it is ready.
Waiting Tips Setup
To integrate this into your environment, use the Openclaw Skills CLI to install the package and configure your preferred display mode.
# Install the waiting-tips skill
openclaw install waiting-tips
To add custom tips, simply create or edit text files in the tips directory:
# Example: Adding a custom coding tip
echo "保持代码简洁 | Keep your code DRY" >> tips/coding.txt
Waiting Tips Data Schema & Taxonomy
Waiting Tips organizes its content library using a simple line-delimited text format, making it easy for developers to audit and extend. The data is categorized into five primary silos:
| Category | Focus | Example Content |
|---|---|---|
| AI Interaction | Context & Verification | Providing sufficient context for better AI accuracy |
| Prompt Engineering | CoT, ReAct, Few-shot | Techniques for multi-step reasoning |
| OpenClaw | Tooling & Commands | Best practices for using the Openclaw Skills ecosystem |
| Productivity | Code & Automation | Regex, code reviews, and report templates |
| Wisdom | Mindset | Philosophical approaches to learning and AI |
Each entry follows the bilingual pipe-separated format: Chinese Content | English Content.
Waiting Tips Advanced Features
- Multiple display style supports including emoji, bordered card, Chinese-only, or English-only modes.
- Platform-wide compatibility ensuring tips render correctly on Telegram, Feishu, Discord, and Slack.
- Extensible category system allowing developers to add new topics like
tips/devops.txtortips/security.txt. - Support for manual triggers, allowing users to explicitly request a tip using natural language commands.
SKILL.md
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