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Agent Skill · 开发

lead-nurture(领导培育)

lead-nurture 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

lead-nurture 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 7,484。

总安装 3,757周安装 155GitHub Stars 公开资料未说明下载 1,228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
2.0.0

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:lead-nurture(领导培育)
来源仓库:https://github.com/drivenautoplex1/lead-nurture
安装命令:
openclaw skills install lead-nurture
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 lead-nurture

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。

自动生成自适应电子邮件和短信培育序列。适用于客户关系维护和营销自动化流程。lead-nurture 属于开发类 Skill,可作为该场景下的辅助能力补充。可根据参与信号调整内容并优化 A/B 主题行。安装命令:openclaw skills install lead-nurture。

注意确认是否涉及外发通信或用户数据访问权限。

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 lead-nurture;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

lead-nurture 怎么安装?

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

lead-nurture 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。

lead-nurture 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

lead-nurture 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。

lead-nurture 用的人多吗?

公开数据是累计安装 3,757 次,近一周安装 155 次,下载 1,228 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。

lead-nurture 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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
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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
lead-nurture

领导培育 · 本页

3,757—只读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
lead-nurture
description
Adaptive email and SMS nurture sequences that adjust based on engagement signals. Input your lead scenario — get a sequence with A/B subject lines, re-send logic, timing rules, and engagement scoring. Not a template generator — a behavioral system.
version
2.0.0
author
drivenautoplex1

Lead Nurture Sequence Generator — Adaptive v2

Turn cold or stalled leads into warm pipeline with sequences that adapt to behavior, not just time.

What Makes v2 Different From Template Generators

Most nurture tools send the same emails on the same schedule regardless of what the lead does. That's why most sequences underperform.

v2 introduces behavioral branching — each touch has three variants depending on the lead's prior engagement:

  • Branch A (Engaged): Lead opened and/or replied → deepen the conversation
  • Branch B (Passive): Lead opened but didn't reply → reframe and re-approach
  • Branch C (Dark): Lead didn't open → re-send with different subject + format change

The system also outputs an engagement score (0–100) that updates after each touch based on behavior, letting your CRM or agent know when to escalate to human outreach.


Inputs

{
  "industry": "mortgage|real_estate|coaching|saas|services|custom",
  "lead_type": "credit_repair|browsing|not_ready|abandoned_cart|cold|warm|referral",
  "sequence_length": 5,
  "timeline_days": 75,
  "goal": "book_call|close_sale|reactivate|warm_referral",
  "brand_voice": "professional|casual|authoritative|empathetic",
  "include_sms": true,
  "behavioral_branching": true,
  "ab_subjects": true,
  "engagement_scoring": true,
  "crm_export_format": "json|csv|gohighlevel|followupboss|mailchimp"
}

Outputs

{
  "sequence": [
    {
      "day": 0,
      "touch_number": 1,
      "type": "email",
      "subject_a": "Your credit timeline (honest answer)",
      "subject_b": "Something most people in your situation get wrong",
      "preview": "Most people think fixing credit takes years. It doesn't.",
      "body_engaged": "...",
      "body_passive": "...",
      "body_dark": "...",
      "cta": "Reply with your biggest concern",
      "sms": "Hey [Name] — sent you an email. Worth 2 min when you get a chance.",
      "send_rule": "Send immediately on trigger",
      "resend_rule": "If no open after 72h, send subject_b with body_dark variant",
      "pause_rule": "If reply received, pause sequence and flag for human follow-up"
    }
  ],
  "engagement_scoring": {
    "open_weight": 10,
    "reply_weight": 40,
    "click_weight": 20,
    "resend_trigger_threshold": 0,
    "human_escalation_threshold": 60,
    "archive_threshold": -20
  },
  "sequence_summary": "5-touch adaptive sequence over 75 days — credit repair leads",
  "psychology_map": {
    "touch_1": "Pacing + reality check — meet them where they are",
    "touch_2": "Quick win — build trust with immediate value",
    "touch_3": "Myth bust — reframe limiting beliefs, position as expert",
    "touch_4": "Market urgency — seeds the buying decision without pressure",
    "touch_5": "Soft close — assume the next step, remove friction"
  },
  "ab_test_guidance": "Run subject_a for 48h. If open rate <20%, switch to subject_b for remainder of send. Track by contact tag in your CRM.",
  "crm_export": "...formatted for selected CRM..."
}

Behavioral Branching Logic

How it works in practice (mortgage/credit repair example):

Touch 1 sent → 72 hours pass:

What happenedNext action
RepliedPause automation. Human follow-up within 4 hours.
Opened, no replySend Touch 2 (Branch B — reframe)
Didn't openRe-send Touch 1 with subject_b variant, body_dark format

Engagement score threshold rules:

ScoreMeaningTrigger
60+Hot leadFlag for immediate human outreach
20–59Warm, nurturingContinue sequence
0–19Cool, passiveSwitch to longer-interval, lighter touches
Below 0UnresponsiveMove to archive sequence (1 touch/month)

Tiers

Free — 3-email sequence, email only, no branching, no engagement scoring Standard ($12/mo) — Up to 7 touches, all industries, email + SMS, A/B subjects, send/re-send rules Pro ($37/mo) — Full behavioral branching, engagement scoring, CRM export (GHL/FUB/Mailchimp/CSV), psychology map, unlimited sequences, priority generation


Pre-Tuned Lead Types (All Include Behavioral Branching in Standard+)

Lead TypeTouchesTimelineCore Psychology
Credit repair (mortgage)575 daysPacing → quick win → reframe → urgency → soft close
Abandoned cart (e-comm)47 daysLoss aversion → social proof → scarcity → final offer
Cold B2B outreach621 daysValue-first → problem framing → case study → objection → ask → breakup
Post-consultation (services)414 daysRecap → FAQ → comparison → decision frame
Gone-quiet reactivation330 daysCheck-in → news hook → final reach
Referral re-engagement321 daysGratitude → milestone update → soft ask

Example — Touch 2, Branch Variants (Mortgage / Credit Repair)

Branch A (Engaged — replied to Touch 1):

Subject: Based on what you told me — here's where I'd start Since you mentioned [their concern], the fastest move is actually not what most people think. [Tailored advice based on their reply] Want me to run the exact math on what your score moving 40 points would do to your monthly payment?

Branch B (Passive — opened, no reply):

Subject: The fastest thing you can do to move your score this month One thing, quick. The single fastest credit score move — faster than disputing anything — is reducing your utilization below 30% on every card. [Utilization explanation] Reply if you want help looking at your report together.

Branch C (Dark — didn't open):

Subject: Quick question [First Name] Tried to reach you last week. No worries if the timing was off. One quick thing: do you know your current credit score? That's the only number that tells us what your options actually are right now. [Short. No links. Conversation-opener format.]

Integration Notes

GoHighLevel: Use the JSON export → import as a Workflow. Each branch maps to a conditional trigger in GHL's workflow builder.

Follow Up Boss: Export as CSV → import as a Smart List action plan. Branch logic requires manual setup but the copy imports directly.

Mailchimp: Use Standard export → paste into an automation sequence. Branching requires Mailchimp's conditional content blocks (Standard plan+).

Manual (any platform): Create 3 versions of each email (A/B/C). Tag contacts by engagement level after each send. Send the appropriate version to each segment.


*v2.0.0 — Upgraded from template generator (depth 2) to behavioral system (depth 4). Added: behavioral branching, A/B subjects, re-send logic, engagement scoring, CRM export formats, psychology map.*

平台分布

OpenClaw

81.68%
按下载量换算1,003

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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