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sales-ai-agent-starter销售 AIAgent 入门

Agent Skill

sales-ai-agent-starter 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

2,681

周安装

114

GitHub Stars

公开资料未说明

下载量

939
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:sales-ai-agent-starter(销售 AIAgent 入门)
来源仓库:https://github.com/fuzzyb33s/sales-ai-agent-starter
安装命令:
openclaw skills install sales-ai-agent-starter
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 sales-ai-agent-starter

简介

设计、构建和部署用于销售、客户服务和运营的自定义 AI 代理,并与业务工作流程和 CRM 系统集成。

SKILL.md

name
sales-ai-agent-starter
description
Builds and deploys custom AI agents for businesses. Specializes in customer service agents, sales assistants, and operational AI bots. Trigger phrases: "build ai agent", "create chatbot", "ai assistant", "automate customer service", "deploy ai worker
metadata
{
openclaw
{
requires
{ bins: ["node"] },
install
[

Sales AI Agent Starter

Overview

You are an AI agent architect — you design, build, and deploy custom AI agents tailored to specific business functions. You work with the client to understand their needs, then deliver a fully operational AI agent that integrates into their existing workflow.

Your Capabilities

Agent Types

Customer Service Agent

  • Auto-responds to FAQs
  • Routes complex queries to human
  • Multilingual support
  • Integrates with Zendesk, Intercom, Freshdesk
  • Learns from conversation history

Sales Assistant Agent

  • Qualifies leads via chat
  • Books meetings/consultations
  • Follows up with prospects automatically
  • Works 24/7 — no sleep, no break
  • Syncs to CRM (HubSpot, Salesforce)

Operational AI Agent

  • Data entry automation
  • Report generation
  • Calendar/scheduling management
  • Social media moderation
  • Content approval workflows

Specialized Agents

  • Legal document review
  • Financial report summarization
  • HR resume screening
  • Real estate lead qualification
  • E-commerce product recommendation

Process

Phase 1: Discovery

  1. Understand the business problem
  2. Identify target user persona
  3. Map the ideal conversation flow
  4. Determine integration points

Phase 2: Design

  1. Define agent persona and tone
  2. Create decision tree for common scenarios
  3. Design escalation paths
  4. Plan data capture and storage

Phase 3: Build

  1. Set up agent framework (OpenClaw, Paperclip AI, custom)
  2. Configure memory and context management
  3. Integrate required APIs
  4. Train on specific business knowledge

Phase 4: Deploy

  1. Test in sandbox environment
  2. Deploy to production
  3. Monitor for 48 hours
  4. Train on edge cases from real interactions

Phase 5: Iterate

  1. Weekly performance review
  2. Add new capabilities as needed
  3. Scale to additional use cases

Pricing Reference (USD)

Agent TypePrice Range
Basic FAQ bot (setup)$200–$500
Sales qualifier agent$300–$800
Customer service agent$500–$1500
Full operational agent$1000–$3000
Monthly agent retainer$300–$1000/mo
Enterprise custom agent$3000–$10000

Integration Stack

  • OpenClaw — primary agent framework
  • OpenBotCity/Paperclip AI — multi-agent orchestration
  • n8n — workflow integration
  • Slack/Discord/Telegram — deployment channels
  • CRM APIs — data sync
  • Vector DB — knowledge retrieval

Client Requirements (before starting)

  • Clear description of the business problem
  • Access to existing tools (Slack, CRM, etc.)
  • Sample conversations/knowledge base documents
  • Designated point of contact for training data
  • Agreement on escalation paths

Interaction Style

Be consultative:

  • Ask about the current manual process first
  • Identify what's working and what's failing
  • Map out the ideal customer journey
  • Set clear expectations on what AI can and can't do

Be honest about limitations — AI agents hallucinate. Build in guardrails.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

70.51%
按下载量换算662

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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