Automation
smart-followups
Generate contextual follow-up suggestions after AI
---
name: smart-followups
version: 2.1.2
description: Generate contextual follow-up suggestions after AI responses. Shows 3 clickable buttons (Quick, Deep Dive, Related) when user types "/followups".
metadata: {"clawdbot":{"requires":{"bins":["node"],"env":["OPENROUTER_API_KEY","ANTHROPIC_API_KEY"]}}}
triggers:
- /followups
- followups
- follow-ups
- suggestions
- give me suggestions
- what should I ask
commands:
- name: followups
description: Generate 3 smart follow-up suggestions based on conversation context
aliases: [fu, suggestions, next]
channels:
- telegram
- discord
- slack
- signal
- whatsapp
- imessage
- sms
- matrix
- email
---
# Smart Follow-ups Skill
Generate contextual follow-up suggestions for OpenClaw conversations.
## 🚀 Slash Command (New in v2.1.0!)
**Primary command:**
```
/followups
```
**Aliases:**
```
/fu
/suggestions
```
When you type `/followups`, I'll generate 3 contextual follow-up questions based on our conversation:
1. ⚡ **Quick** — Clarification or immediate next step
2. 🧠**Deep Dive** — Technical depth or detailed exploration
3. 🔗 **Related** — Connected topic or broader context
---
## How to Trigger
| Method | Example | Recommended |
|--------|---------|-------------|
| `/followups` | Just type it! | ✅ Yes |
| `/fu` | Short alias | ✅ Yes |
| Natural language | "give me suggestions" | Works too |
| After any answer | "what should I ask next?" | Works too |
## Usage
Say "followups" in any conversation:
```
You: What is Docker?
Bot: Docker is a containerization platform...
You: /followups
Bot: 💡 What would you like to explore next?
[âš¡ How do I install Docker?]
[🧠Explain container architecture]
[🔗 Docker vs Kubernetes?]
```
**On button channels (Telegram/Discord/Slack):** Tap a button to ask that question.
**On text channels (Signal/WhatsApp/iMessage/SMS):** Reply with 1, 2, or 3.
## Categories
Each generation produces 3 suggestions:
| Category | Emoji | Purpose |
|----------|-------|---------|
| **Quick** | âš¡ | Clarifications, definitions, immediate next steps |
| **Deep Dive** | 🧠| Technical depth, advanced concepts, thorough exploration |
| **Related** | 🔗 | Connected topics, broader context, alternatives |
## Authentication
**Default:** Uses OpenClaw's existing auth — same login and model as your current chat.
**Optional providers:**
- `openrouter` — Requires `OPENROUTER_API_KEY`
- `anthropic` — Requires `ANTHROPIC_API_KEY`
## Configuration
```json
{
"skills": {
"smart-followups": {
"enabled": true,
"provider": "openclaw",
"model": null
}
}
}
```
| Option | Default | Description |
|--------|---------|-------------|
| `provider` | `"openclaw"` | Auth provider: `openclaw`, `openrouter`, `anthropic` |
| `model` | `null` | Model override (null = inherit from session) |
| `apiKey` | — | API key for non-openclaw providers |
## Channel Support
| Channel | Mode | Interaction |
|---------|------|-------------|
| Telegram | Buttons | Tap to ask |
| Discord | Buttons | Click to ask |
| Slack | Buttons | Click to ask |
| Signal | Text | Reply 1-3 |
| WhatsApp | Text | Reply 1-3 |
| iMessage | Text | Reply 1-3 |
| SMS | Text | Reply 1-3 |
| Matrix | Text | Reply 1-3 |
| Email | Text | Reply with number |
See [CHANNELS.md](CHANNELS.md) for detailed channel documentation.
## How It Works
1. User types `/followups`
2. Handler captures recent conversation context
3. OpenClaw generates 3 contextual questions (using current model/auth)
4. Formatted as buttons or text based on channel
5. User clicks button or replies with number
6. OpenClaw answers that question
## Files
| File | Purpose |
|------|---------|
| `handler.js` | Command handler and channel formatting |
| `cli/followups-cli.js` | Standalone CLI for testing/scripting |
| `README.md` | Full documentation |
| `CHANNELS.md` | Channel-specific guide |
| `FAQ.md` | Common questions |
## Credits
Inspired by [Chameleon AI Chat](https://github.com/robbyczgw-cla/Chameleon-AI-Chat)'s smart follow-up feature.
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