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smart-followups智能跟进

Agent Skill

smart-followups 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

148,785

周安装

6,262

GitHub Stars

8

下载量

51,912
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:smart-followups(智能跟进)
来源仓库:https://github.com/robbyczgw-cla/smart-followups
安装命令:
openclaw skills install smart-followups
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install smart-followups

简介

AI 响应后生成上下文后续建议。当用户键入“/followups”时,显示 3 个可点击按钮(快速、深入、相关)。

SKILL.md

name
smart-followups
version
2.1.8
description
Generate contextual follow-up suggestions after AI responses. Shows 3 clickable buttons (Quick, Deep Dive, Related) when user types "/followups".
metadata
{"openclaw":{"requires":{"bins":["node"],"note":"No API keys needed. Uses OpenClaw-native auth."}}}
triggers
commands
description
Generate 3 smart follow-up suggestions based on conversation context
aliases
[fu, suggestions, next]
channels

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

MethodExampleRecommended
/followupsJust type it!✅ Yes
/fuShort 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?
[⚡ 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:

CategoryEmojiPurpose
QuickClarifications, 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

{
  "skills": {
    "smart-followups": {
      "enabled": true,
      "provider": "openclaw",
      "model": null
    }
  }
}
OptionDefaultDescription
provider"openclaw"Auth provider: openclaw, openrouter, anthropic
modelnullModel override (null = inherit from session)
apiKeyAPI key for non-openclaw providers

Channel Support

ChannelModeInteraction
TelegramButtonsTap to ask
DiscordButtonsClick to ask
SlackButtonsClick to ask
SignalTextReply 1-3
WhatsAppTextReply 1-3
iMessageTextReply 1-3
SMSTextReply 1-3
MatrixTextReply 1-3
EmailTextReply 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

FilePurpose
handler.jsCommand handler and channel formatting
cli/followups-cli.jsStandalone CLI for testing/scripting
README.mdFull documentation
CHANNELS.mdChannel-specific guide
FAQ.mdCommon questions

Credits

Inspired by Chameleon AI Chat's smart follow-up feature.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.15%
按下载量换算47,318

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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