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Agent Skill · 研究检索

ironclaw-outreach-sequencer(铁爪外展测序仪)

ironclaw-outreach-sequencer 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。

ironclaw-outreach-sequencer 是研究检索类 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,361。

总安装 22,446周安装 926GitHub Stars 公开资料未说明下载 7,334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
1.0.0

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:ironclaw-outreach-sequencer(铁爪外展测序仪)
来源仓库:https://github.com/aspenas/ironclaw-outreach-sequencer
安装命令:
openclaw skills install ironclaw-outreach-sequencer
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 ironclaw-outreach-sequencer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

创建和管理多步骤外展序列,包括冷邮件和 LinkedIn 消息。支持个性化跟进和节奏控制功能。ironclaw-outreach-sequencer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适用于销售团队和市场营销自动化场景。需人工审核内容后再执行发送操作。注意反垃圾邮件规则,避免过度发送。

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 ironclaw-outreach-sequencer;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

ironclaw-outreach-sequencer 怎么安装?

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

ironclaw-outreach-sequencer 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。

ironclaw-outreach-sequencer 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。

ironclaw-outreach-sequencer 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。

ironclaw-outreach-sequencer 用的人多吗?

公开数据是累计安装 22,446 次,近一周安装 926 次,下载 7,334 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。

ironclaw-outreach-sequencer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ironclaw-outreach-sequencer

铁爪外展测序仪 · 本页

22,446—操作浏览器MIT-0有提醒

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
outreach-sequencer
description
Create and manage multi-step outreach sequences — LinkedIn messages, cold emails, and follow-ups with personalization. Use when asked to "send outreach", "create email sequence", "follow up with leads", "start a drip campaign", "send LinkedIn messages", "personalized outreach", or any automated multi-step communication workflow.
metadata
{ "openclaw": { "emoji": "📨" } }

Outreach Sequencer — Multi-Step Personalized Campaigns

Design, schedule, and execute multi-step outreach sequences across LinkedIn and email. Each message is personalized per lead using their profile data from DuckDB.

Sequence Templates

Template 1: LinkedIn Connection + Message

Day 0: Send LinkedIn connection request (with note)
Day 1: If accepted → Send intro message
Day 3: If no reply → Follow-up message
Day 7: If no reply → Break-up / value-add message

Template 2: Cold Email Sequence

Day 0: Initial cold email
Day 3: Follow-up (reply to original thread)
Day 7: Value-add email (case study, resource)
Day 14: Break-up email ("closing the loop")

Template 3: Multi-Channel

Day 0: LinkedIn connection request
Day 2: Cold email (if not connected on LinkedIn)
Day 4: LinkedIn message (if connected) OR email follow-up
Day 7: Final touch (whichever channel they engaged on)

Personalization Engine

Each message is generated per-lead using their DuckDB profile data. Use these variables:

VariableSourceExample
{first_name}Name field (split)"Jane"
{company}Company field"Acme Corp"
{title}Title field"CTO"
{mutual}Shared connections/background"Stanford"
{trigger}Why reaching out now"saw your Series A"
{value_prop}What you offer them"AI-powered analytics"
{pain_point}Their likely challenge"scaling engineering team"

Personalization Rules

  • Never use generic openers like "I hope this finds you well"
  • Reference something specific: recent post, company news, shared background
  • Keep LinkedIn messages under 300 chars (connection note limit)
  • Keep cold emails under 150 words (respect attention)
  • Vary language across leads — don't send identical messages to people at the same company
  • Match tone to seniority: C-suite gets concise/strategic, ICs get technical/peer-level

Message Generation Pattern

1. Read lead profile from DuckDB
2. Identify personalization hooks:
   - Shared background (school, company, location)
   - Recent company news (web search if needed)
   - Role-specific pain points
3. Select message template for sequence step
4. Generate personalized message
5. Store message + status in DuckDB

Execution

LinkedIn Messages (via Browser)

browser → open LinkedIn messaging
browser → search for recipient
browser → open conversation
browser → type personalized message
browser → send
→ Update DuckDB status: "Sent"

Email (via gog CLI)

gog gmail send \
  --to "{email}" \
  --subject "{subject}" \
  --body "{personalized_body}" \
  --account patrick@candlefish.ai

For follow-ups (reply to thread):

gog gmail reply \
  --thread-id "{thread_id}" \
  --body "{follow_up_body}"

Sequence Status Tracking

Track in DuckDB with these status fields:

FieldValuesNotes
Outreach StatusQueued, Sent, Replied, Converted, Bounced, Opted OutMain status
Sequence Step1, 2, 3, 4Current step in sequence
Last OutreachdateWhen last message was sent
Next OutreachdateWhen next step is due
Outreach ChannelLinkedIn, Email, BothActive channel
Reply ReceivedbooleanTrue if they responded
Thread IDtextGmail thread ID for email chains
-- Find leads due for next sequence step
SELECT "Name", "Email", "Outreach Status", "Sequence Step", "Next Outreach"
FROM v_leads
WHERE "Outreach Status" = 'Sent'
  AND "Reply Received" = false
  AND "Next Outreach" <= CURRENT_DATE
ORDER BY "Next Outreach";

Cron Integration

Set up automated sequence execution:

Schedule: Every 2 hours during business hours (9am-5pm Mon-Fri)
Action:
1. Query leads due for next step
2. For each due lead:
   a. Generate personalized message for their current step
   b. Send via appropriate channel
   c. Update status + advance step
   d. Set next outreach date
3. Report: "Sent 12 messages (8 LinkedIn, 4 email). 3 replies received."

Cron Job Setup (for OpenClaw)

{
  "name": "Outreach Sequencer",
  "schedule": { "kind": "cron", "expr": "0 9,11,13,15 * * 1-5", "tz": "America/Denver" },
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "message": "Run outreach sequence check. Query DuckDB for leads with Next Outreach <= today. Send personalized messages for their current sequence step. Update statuses. Report results.",
    "timeoutSeconds": 300
  }
}

Safety & Compliance

  • Daily send limits: Max 50 LinkedIn connection requests/day, 100 messages/day
  • Email limits: Max 100 cold emails/day (avoid spam flags)
  • Opt-out handling: If someone replies "not interested" / "unsubscribe", immediately set status to "Opted Out" and never contact again
  • Bounce handling: If email bounces, mark as "Bounced" and try alternate email patterns
  • CAN-SPAM compliance: Include sender identity, physical address option, and opt-out mechanism in emails
  • LinkedIn ToS: Keep connection notes professional, don't spam InMails
  • Cool-down: If a lead hasn't replied after full sequence, wait 90 days before any re-engagement

Analytics

After each sequence run, track:

Active Sequences: 85 leads
├── Step 1 (Initial): 20 leads
├── Step 2 (Follow-up): 35 leads
├── Step 3 (Value-add): 18 leads
├── Step 4 (Break-up): 12 leads
│
Outcomes:
├── Replied: 23 (27% reply rate)
├── Converted: 8 (9.4% conversion)
├── Opted Out: 3 (3.5%)
├── Bounced: 2 (2.4%)
└── No Response (completed): 15 (17.6%)

平台分布

OpenClaw

86.16%
按下载量换算6,319

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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