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Agent Skill · 开发

aivi-engagement(艾维参与)

aivi-engagement 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。

aivi-engagement 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 5,799。

总安装 5,640周安装 235GitHub Stars 公开资料未说明下载 1,880核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.0

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:aivi-engagement(艾维参与)
来源仓库:https://github.com/aivillc/aivi-engagement
安装命令:
openclaw skills install aivi-engagement
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 aivi-engagement

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

aivi-engagement 是用于潜在客户开发和客户重新激活的人工智能参与层。适合需要自动化客户沟通、联络中心管理和销售线索跟进的 OpenClaw 用户。支持实时对话分析和核心交互能力,安装命令为 openclaw skills install aivi-engagement。

使用前需评估是否涉及用户数据收集、消息发送或第三方集成。建议确认 API 密钥和合规边界,确保符合隐私政策要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install aivi-engagement;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

aivi-engagement 怎么安装?

在终端执行 openclaw skills install aivi-engagement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

aivi-engagement 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

aivi-engagement 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

aivi-engagement 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

aivi-engagement 用的人多吗?

公开数据是累计安装 5,640 次,近一周安装 235 次,下载 1,880 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

aivi-engagement 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
aivi-engagement

艾维参与 · 本页

5,640—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
aivi-engagement
description
AIVI is the AI engagement layer for lead generation, contact centers, and customer re-activation. Every conversation is analyzed in real-time, building Conversational Intelligence that makes every future interaction smarter.
version
1.1.0
author
AIVI
url
https://aivi.io
requires
{}

Getting Started

Setup (One Time)

  1. Create your account at app.aivi.io

Sign in with Google or email.

  1. Connect AIVI to your agent:

Claude Code:

claude mcp add --transport http aivi https://mcp.aivi.io/mcp

Then authenticate: /mcp → select AIVI → Authenticate Browser opens → sign in with Google → click Allow Access → done. Tokens persist across server redeploys (Redis-backed).

Claude Desktop / claude.ai: Settings → Connectors → Add URL: https://mcp.aivi.io/mcp Sign in when browser opens.

ChatGPT Developer Mode: Settings → Connectors → Developer Mode Add URL: https://mcp.aivi.io/mcp Sign in when prompted.

OpenClaw / NemoClaw:

clawhub install aivi-engagement

Then authenticate: /mcp → AIVI → Authenticate → done.

All other MCP clients: Endpoint: https://mcp.aivi.io/mcp Supports OAuth 2.1 + PKCE.

Need help? app.aivi.io/getting-started


MCP Connection

TransportHTTP (streamable-http)
Endpointhttps://mcp.aivi.io/mcp
Healthhttps://mcp.aivi.io/health
Auth Resolvehttps://mcp.aivi.io/auth/resolve?authorization_id={id}
CompatibleClaude Code, Claude Desktop, OpenClaw, NemoClaw, ChatGPT, any MCP client

Agent Behavior Rules

Authentication is handled automatically via OAuth 2.1. If credentials are missing, direct user to run /mcp auth in Claude Code or reconnect via Settings → Connectors. Do not ask for API keys.

If skill returns insufficient_funds:

"Add credits at app.aivi.io → Billing"

Quick Start Prompts

Copy and paste to get started immediately:

  1. Score a lead:

"Score the lead at +12065551234"

  1. Launch a sequence:

"Launch a 3-day sequence for +12065551234"

  1. Check what happened:

"What happened on the last call with +12065551234?"

  1. Get ML recommendation:

"What should I do next with +12065551234?"


AIVI Lead Engagement

Use this skill when the user wants to:

  • Score a lead before contacting them
  • Launch an AI voice + SMS sequence
  • Check if a phone number is valid or a litigator
  • Get ML recommendation on best channel and timing
  • Launch a premium Supercharged campaign

Setup Required

MCP endpoint: https://mcp.aivi.io/mcp Auth: OAuth 2.1 (automatic).

Available Skills

qualify_lead ($0.75)

Use when: user wants to verify and qualify a lead before outreach.

Prerequisites — Enable AIVI Insights: app.aivi.io → Profile icon → Settings → Integrations → AIVI Insights → Activate → Configure tier rules

Example prompts:

  • "Qualify this lead at +12065551234"
  • "Is +12065551234 worth contacting?"
  • "Verify this lead before we call"

Returns: phone validity and litigator status, contactability level, lead tier (Premium/Standard/Manual/Reject), economic propensity indicators, recommended sequence type, auto-reject flag with reason.

Auto-rejected leads are not charged.

AIVI Insights data is cached for up to 30 days. Cached results are returned free of charge. Re-qualification at $0.75 is recommended when:

  • Lead has been inactive for 30+ days
  • Phone ownership may have changed
  • Time-sensitive financial qualification (mortgage, auto, insurance, debt consolidation)

Note: Economic indicators are propensity signals at segment level — they reflect likely household characteristics, not verified individual facts.

score_lead ($0.75)

Use when: user wants to score or evaluate a lead before outreach.

Example prompts:

  • "Score this lead at +12065551234"
  • "Is this lead worth calling?"
  • "What does AIVI know about +13105551234?"

Returns: score 0-100, tier, ML recommendation, phone validity, litigator check, income level, property data, best channel and timing.

launch_sequence

Use when: user wants to start an outreach campaign for a lead.

Example prompts:

  • "Launch a 3-day sequence for this lead"
  • "Start the Supercharged 1-day campaign"
  • "Enroll +12065551234 in a 12-day sequence with booking enabled"

Sequences: one_day ($1.00), three_day ($1.50), twelve_day ($3.00). Add $1.00 for booking.

decide_next_action

Use when: user wants the ML model to recommend the best next step.

Example prompts:

  • "What should I do next with this lead?"
  • "Should I call or text +12065551234?"
  • "What's the ML recommendation for this contact?"

Returns: recommended action, channel, timing, all 14 action scores, confidence, exploration flag. Free — no charge.

Prerequisites

For best results, run in this order:

  1. score_lead ($0.75) — enriches the lead
  2. launch_sequence ($1.00-3.00) — starts engagement
  3. decide_next_action (free) — optimizes every step

You can use decide_next_action standalone but it works best after at least one score_lead or launch_sequence has run.

get_outcome

Use when: user wants to know what happened on a call or sequence.

Example prompts:

  • "What happened on that call?"
  • "Did the sequence convert?"
  • "Show me the topics from the last call"

Conversational Intelligence

Every call processed by AIVI generates:

  • Topics discussed (automatically extracted)
  • Key moments (objections, callbacks, compliance, escalations)
  • Sentiment arc (positive, negative, neutral)
  • Outcome classification

773 calls analyzed. 494 moments detected:

  • 140 objections raised
  • 117 callback promises
  • 24 compliance misses
  • 12 escalation requests

Works across:

  • Lead generation (new prospects)
  • Contact center (inbound + outbound)
  • Customer re-activation (lapsed base)
  • Ongoing care (existing customers)

Every call makes the next one smarter.

Billing

All skills require AIVI credits. Add credits at app.aivi.io → Billing.

SkillCost
qualify_lead$0.75 (cached free, auto-reject free)
score_lead$0.75
launch_sequence (one_day)$1.00
launch_sequence (three_day)$1.50
launch_sequence (twelve_day)$3.00
Booking add-on+$1.00
decide_next_actionFree
get_outcomeFree

平台分布

OpenClaw

90.82%
按下载量换算1,707

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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