smart-followups

Generate contextual follow-up suggestions after AI responses. Offers three next questions (Quick, Deep Dive, Related) when the user runs /smart-followups or asks for suggestions.

Smart Follow-ups Skill

Generate contextual follow-up suggestions for OpenClaw conversations.

Slash Command

The command name is derived from the skill's name field:

text

/smart-followups

OpenClaw 2.0 registers no aliases (/fu, /suggestions, and /next do not work), and separate commands:, triggers:, or channels: frontmatter fields are ignored.

When you run /smart-followups, the skill generates 3 contextual follow-up questions based on the 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
Slash command	/smart-followups
Natural language	"give me suggestions"
After any answer	"what should I ask next?"

Usage

Say "followups" in any conversation:

text

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

You: /smart-followups

Bot: 💡 What would you like to explore next?
[⚡ How do I install Docker?]
[🧠 Explain container architecture]
[🔗 Docker vs Kubernetes?]

The skill produces the 3 suggestions. How they are rendered depends on the channel: the agent can show buttons only on channels that support interactive buttons, and only if it builds them there. Otherwise it posts a numbered text list — 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": {
    "entries": {
      "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

The skill generates the suggestions; the agent decides how to render them within each channel's capabilities.

Channel	Rendering
Telegram	Buttons possible (agent-built)
Discord	Buttons possible (agent-built)
Slack	Buttons possible (agent-built)
Signal	Numbered text
WhatsApp	Numbered text
iMessage	Numbered text
SMS	Numbered text
Matrix	Numbered text
Email	Numbered text

See CHANNELS.md for detailed channel documentation.

How It Works

1. User runs /smart-followups
2. The agent gathers recent conversation context (OpenClaw does not load handler.js; skills are instruction packs)
3. The agent generates 3 contextual questions (using the current model/auth)
4. The agent renders them as buttons or as a numbered text list, depending on what the channel supports
5. User taps a button or replies with a number
6. OpenClaw answers that question

Files

File	Purpose
handler.js	Formatting helper; OpenClaw does not load it as a command handler
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.