Smart Follow-ups

Generate contextual follow-up suggestions after AI responses. Shows 3 clickable buttons (Quick, Deep Dive, Related) when user types "/followups".

Smart Follow-ups Skill

Generate contextual follow-up suggestions for OpenClaw conversations.

🚀 Slash Command (New in v2.1.0!)

Primary command:

text

/followups

Aliases:

text

/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:

text

You: What is Docker?
Bot: Docker is a containerization platform...

You: /followups

Bot: 💡 What would you like to explore next?
[⚡ 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	⚡	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 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's smart follow-up feature.