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modesty-cold-email谦虚冷酷的电子邮件

Agent Skill

modesty-cold-email 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

3,103

周安装

128

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下载量

1,014
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:modesty-cold-email(谦虚冷酷的电子邮件)
来源仓库:https://github.com/modestyrichards/modesty-cold-email
安装命令:
openclaw skills install modesty-cold-email
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 modesty-cold-email

简介

使用人工智能生成超个性化的冷电子邮件序列。将潜在客户数据转化为高转化率的外展活动。

SKILL.md

name
cold-email
description
Generate hyper-personalized cold email sequences using AI. Turn lead data into high-converting outreach campaigns.
metadata
clawdbot
requires
env

SkillBoss API Hub - AI Cold Email Generator

Generate personalized cold email sequences from lead data. SkillBoss API Hub uses AI to research prospects and craft unique, relevant outreach - not templates.

Setup

  1. Get your API key at https://app.skillbossai.com/settings (Integrations → API Keys)
  2. Set SKILLBOSS_API_KEY in your environment

How It Works

This skill calls the SkillBoss API Hub (POST https://api.skillbossai.com/v1/pilot) with type: "chat" to generate personalized cold email sequences for each lead. The AI automatically researches the lead's context and crafts relevant outreach based on company, title, and LinkedIn/website data.

Endpoints

All requests go to the SkillBoss API Hub unified endpoint:

POST https://api.skillbossai.com/v1/pilot
Authorization: Bearer {SKILLBOSS_API_KEY}
Content-Type: application/json

Single Lead — Generate Email Sequence

Generate a cold email sequence for one lead (3–5 emails per lead). The request uses type: "chat" with a structured prompt containing lead data and sequence options.

{
  "type": "chat",
  "inputs": {
    "messages": [
      {
        "role": "system",
        "content": "You are an expert cold email copywriter. Generate personalized cold email sequences based on lead data. Each email should be unique, relevant, and high-converting. Return a JSON object with a 'sequence' array."
      },
      {
        "role": "user",
        "content": "Generate a cold email sequence for this lead:\
\
Name: {lead.name}\
Title: {lead.title}\
Company: {lead.company}\
Email: {lead.email}\
Company Website: {lead.company_website}\
LinkedIn: {lead.linkedin_url}\
\
Options:\
- Number of emails: {options.email_count}\
- Signature: {options.email_signature}\
- Campaign angle: {options.campaign_angle}\
- CTAs to use: {options.approved_ctas}\
\
Return JSON: {\"sequence\": [{\"step\": 1, \"subject\": \"...\", \"body\": \"...\"}, ...]}"
      }
    ]
  },
  "prefer": "quality"
}

Response (200):

{
  "status": "success",
  "result": {
    "choices": [
      {
        "message": {
          "content": "{\"sequence\": [{\"step\": 1, \"subject\": \"...\", \"body\": \"...\"}, {\"step\": 2, \"subject\": \"...\", \"body\": \"...\"}, {\"step\": 3, \"subject\": \"...\", \"body\": \"...\"}]}"
        }
      }
    ]
  }
}

Parsing the result:

import json
raw = response.json()["result"]["choices"][0]["message"]["content"]
sequence = json.loads(raw)["sequence"]

Batch — Generate for Multiple Leads

For multiple leads, call the endpoint once per lead or construct a batch prompt:

{
  "type": "chat",
  "inputs": {
    "messages": [
      {
        "role": "system",
        "content": "You are an expert cold email copywriter. Generate personalized cold email sequences for each lead. Return a JSON object with a 'leads' array."
      },
      {
        "role": "user",
        "content": "Generate cold email sequences for these leads:\
\
{leads_json}\
\
Options: email_count={options.email_count}, list_name={options.list_name}\
\
Return JSON: {\"leads\": [{\"email\": \"...\", \"sequence\": [{\"step\": 1, \"subject\": \"...\", \"body\": \"...\"}]}]}"
      }
    ]
  },
  "prefer": "quality"
}

Response parsing:

raw = response.json()["result"]["choices"][0]["message"]["content"]
result = json.loads(raw)
leads_with_sequences = result["leads"]

Python Code Example

import requests, os, json

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.skillbossai.com/v1"

def pilot(body: dict) -> dict:
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

def generate_cold_email_sequence(lead: dict, options: dict = None) -> list:
    """Generate a personalized cold email sequence for one lead."""
    if options is None:
        options = {}

    email_count = options.get("email_count", 3)
    signature = options.get("email_signature", "")
    angle = options.get("campaign_angle", "")
    ctas = options.get("approved_ctas", [])

    user_content = (
        f"Generate a cold email sequence for this lead:\
\
"
        f"Name: {lead.get('name', '')}\
"
        f"Title: {lead.get('title', '')}\
"
        f"Company: {lead.get('company', '')}\
"
        f"Email: {lead.get('email', '')}\
"
        f"Company Website: {lead.get('company_website', '')}\
"
        f"LinkedIn: {lead.get('linkedin_url', '')}\
\
"
        f"Options:\
"
        f"- Number of emails: {email_count}\
"
        f"- Signature: {signature}\
"
        f"- Campaign angle: {angle}\
"
        f"- CTAs to use: {ctas}\
\
"
        f'Return JSON: {{"sequence": [{{"step": 1, "subject": "...", "body": "..."}}, ...]}}'
    )

    result = pilot({
        "type": "chat",
        "inputs": {
            "messages": [
                {"role": "system", "content": "You are an expert cold email copywriter. Generate personalized cold email sequences based on lead data. Each email should be unique, relevant, and high-converting. Return a JSON object with a 'sequence' array."},
                {"role": "user", "content": user_content}
            ]
        },
        "prefer": "quality"
    })

    raw = result["result"]["choices"][0]["message"]["content"]
    return json.loads(raw)["sequence"]

Lead Fields

Each lead must include a valid email; it is used to map the lead through processing. All other fields are optional but improve personalization.

FieldRequiredDescription
emailYesLead's email address
nameNoFull name or first name (improves personalization)
companyNoCompany name (improves personalization)
titleNoJob title (improves personalization)
company_websiteNoCompany URL for research
linkedin_urlNoLinkedIn profile for deeper personalization

Options

OptionTypeDefaultDescription
list_namestringAutoDisplay name for this list
email_countnumber3Emails per lead (1-5)
email_signaturestringNoneSignature appended to emails
campaign_anglestringNoneContext for personalization
approved_ctasarrayNoneCTAs to use in emails

Response Format (SkillBoss API Hub)

能力pilot type结果路径
Cold email generationchatresult.choices[0].message.content (JSON string, parse with json.loads)

Errors

CodeDescription
400Invalid request body
401Invalid or missing SKILLBOSS_API_KEY
429Rate limit exceeded; retry later

Usage Examples

"Generate a cold email for the VP of Sales at Stripe" "Create outreach sequences for these 10 leads" "Write a 3-email sequence targeting marketing directors at SaaS companies"

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

77.02%
按下载量换算781

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安装前确认

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来源信息

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