Token导航 LogoToken导航

Agent Skill · 待分类

cold-email-outreach(冷电子邮件外展)

cold-email-outreach 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

cold-email-outreach 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在待分类类的 11,209 个 Skill 里排第 2,269。

总安装 1,722周安装 69GitHub Stars 1下载 558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
unknown

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:cold-email-outreach(冷电子邮件外展)
来源仓库:https://github.com/nikiandr/goose-skills
仓库路径:skills/cold-email-outreach
安装命令:
npx skills add https://github.com/nikiandr/goose-skills --skill cold-email-outreach
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/nikiandr/goose-skills --skill cold-email-outreach

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

cold-email-outreach 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。通过 npx 命令从指定仓库安装,需结合原始 README 确认具体用法。

使用前应核实权限范围、维护状态及是否涉及联网或文件操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cold-email-outreach

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/nikiandr/goose-skills --skill cold-email-outre…;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

    它需要接触敏感数据,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

cold-email-outreach 怎么安装?

在终端执行 npx skills add https://github.com/nikiandr/goose-skills --skill cold-email-outreach。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cold-email-outreach 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

cold-email-outreach 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

cold-email-outreach 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cold-email-outreach 用的人多吗?

公开数据是累计安装 1,722 次,近一周安装 69 次,下载 558 次,GitHub 1 星。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。

cold-email-outreach 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
cold-email-outreach

冷电子邮件外展 · 本页

1,7221接触敏感数据未明确有提醒

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

Cold Email Outreach

The final mile of the outbound pipeline. Takes qualified leads from Supabase, builds email sequences using the email-drafting skill, loads campaigns into the user's chosen outreach tool, and logs everything back to Supabase.

Tool-agnostic: Asks the user which outreach platform they use. Defaults to Smartlead if they have MCP tools configured. Falls back to CSV export for any other tool or manual workflow.

When to Auto-Load

Load this skill when:

  • User says "launch a campaign", "send outreach", "email these leads", "set up cold email"
  • An upstream skill connects with "create email campaign" or "passes: supabase-eligible-leads"
  • User completes lead-qualification and wants to act on the results

Supported Outreach Tools

This skill does NOT assume a specific tool. It asks first, then adapts.

ToolIntegrationHow It Works
Smartlead (default)MCP tools (mcp__smartlead__*)Full automation: create campaign, add sequences, import leads, configure schedule, launch
InstantlyCSV importGenerate CSV matching Instantly's import format, user uploads manually
LemlistCSV importGenerate CSV with Lemlist-compatible columns
ApolloCSV importGenerate CSV matching Apollo sequence import format
Manual / OtherCSV + instructionsExport leads + emails as generic CSV, provide setup instructions

Tool selection logic:

  1. Ask user in Phase 0: "Which outreach tool do you use?"
  2. If Smartlead → use MCP tools for full automation
  3. If Instantly / Lemlist / Apollo → generate tool-specific import CSV
  4. If Other or unknown → generate generic CSV (email, first_name, last_name, company, title, subject, body per touch) and ask user for their tool's import requirements

Prerequisites

Supabase

People must be stored in Supabase with the schema from tools/supabase/schema.sql. The people and outreach_log tables must exist. Run python3 tools/supabase/setup_database.py if setting up fresh.

Environment variables in .env:

SUPABASE_URL=https://xxx.supabase.co
SUPABASE_SERVICE_ROLE_KEY=eyJ...

Outreach Tool

  • Smartlead: MCP tools available via mcp__smartlead__*. No additional setup.
  • All others: Just need CSV export — no API keys required.

Phase 0: Intake

Ask all questions at once. Organize by category. Skip any already answered by an upstream skill.

Campaign Goal

  1. What's the objective? (book meetings, drive demo requests, get replies, nurture)
  2. What's the outreach angle or hook? (hiring signal, competitor displacement, event-based, pain-based, cold database)
  3. What should we name this campaign?

Outreach Tool

  1. Which outreach tool do you use? (Smartlead / Instantly / Lemlist / Apollo / Other / Just give me a CSV)

Lead Selection

  1. Which leads should we target? Options:

- All leads for a specific client_name - Specific icp_segment - Title patterns (e.g., "VP Operations", "Director of Sales") - Industry or location filters - qualification_score above a threshold - Specific source (crustdata, apollo, linkedin, etc.) - Custom filter (describe what you want)

  1. Any exclusions? (specific companies, recently contacted leads, certain titles)
  2. Max campaign size? (default: 200)

Sequence Design

  1. How many touches? (default: 3)
  2. Timing between touches? (default: Day 1 / Day 5 / Day 12)
  3. Personalization tier? (Tier 1: merge fields only / Tier 2: segment-specific / Tier 3: unique per lead)

Sending Config (skip if CSV export)

  1. Which email accounts should send? (list accounts or "use all available")
  2. Sending schedule? (default: Mon-Fri 8am-5pm in recipient's timezone)
  3. Daily send limit per account? (default: 30/day)
  4. Track opens and clicks? (default: opens yes, clicks no)

Phase 1: Lead Selection from Supabase

Connect

Use the shared Supabase client:

import sys, os
sys.path.insert(0, os.path.join("tools", "supabase"))
from supabase_client import SupabaseClient

client = SupabaseClient(os.environ["SUPABASE_URL"], os.environ["SUPABASE_SERVICE_ROLE_KEY"])

Build Filters

Map user criteria to PostgREST query parameters on the people table:

User SaysPostgREST Filter
"VP Operations"title=ilike.*VP Operations*
Client "happy-robot"client_name=eq.happy-robot
Score > 7qualification_score=gte.7
Has verified emailemail_verified=eq.true
Industry "logistics"industry=ilike.*logistics*
Location "San Francisco"location=ilike.*San Francisco*
Source "crustdata"source=eq.crustdata
Not contacted in 84 daysor=(last_contacted.is.null,last_contacted.lt.{84_days_ago})

Cooldown Filter (Mandatory)

Always exclude people contacted within 84 days (12 weeks). This is not optional.

Use the shared client's check_cooldown() method:

in_cooldown = client.check_cooldown(client_name="happy-robot", cooldown_days=84)
# Returns set of person_id strings still in cooldown

Or query directly:

  1. Query outreach_log for person_ids with sent_date in the last 84 days: GET /rest/v1/outreach_log?select=person_id&sent_date=gte.{84_days_ago}&status=neq.bounced&client_name=eq.{client}
  2. Collect those person_ids into an exclusion set
  3. Add id=not.in.({excluded_ids}) to the people query

Present & Confirm

Show a sample table (10-15 leads) with:

  • Name, Title, Company, Industry, Score, Email, Last Contacted

Tell user: total eligible leads, how many excluded by cooldown, how many have verified emails.

Ask user to confirm or adjust filters before proceeding.

Phase 2: Sequence Design

Present the sequence plan as a table before writing any copy:

TouchDayEmail TypeFrameworkCTA
11Cold introSignal-Proof-Ask15-min call
25New angle / assetPASResource offer
312Social proofBABOpen to chat?

Get user approval on the structure before generating copy in Phase 3.

Phase 3: Email Generation

Load the email-drafting skill and pass it:

  • Campaign context (goal, angle, product, proof points)
  • Sequence structure from Phase 2
  • 3-5 sample leads from the selected list
  • Personalization tier
  • Tone preference

By Personalization Tier

Tier 1 (Generic): Generate one template per touch with merge fields ({first_name}, {company}, {title}). Same template for all leads.

Tier 2 (Segment): Generate one template per segment per touch. Segments are defined by role, industry, or signal type. Swap pain points and proof points between segments.

Tier 3 (Deep): Generate unique email per lead per touch. Cap at 50 leads — recommend Tier 2 above that volume.

Review Loop

  1. Generate sample emails for 3-5 leads first
  2. Present to user for review
  3. Iterate until approved (max 3 rounds)
  4. Generate remaining emails after approval

Phase 4: Campaign Setup

If Smartlead (MCP Automation)

Full automation via MCP tools. Execute in this order:

Step 1: List email accounts

mcp__smartlead__get_email_accounts

Present available accounts. User selects which to use.

Step 2: Create campaign

mcp__smartlead__create_campaign
  name: {campaign_name}

Save the returned campaign_id.

Step 3: Add sequence steps

mcp__smartlead__save_campaign_sequences
  campaign_id: {campaign_id}
  sequences: [
    { seq_number: 1, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 0 } },
    { seq_number: 2, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 4 } },
    { seq_number: 3, subject: "...", email_body: "...", seq_delay_details: { delay_in_days: 7 } }
  ]

Merge variable mapping: Convert {first_name} → {{first_name}}, {company} → {{company}} (Smartlead uses double-brace syntax).

Step 4: Import leads (batch 100)

mcp__smartlead__add_leads_to_campaign
  campaign_id: {campaign_id}
  lead_list: [{ email: "...", first_name: "...", last_name: "...", company_name: "...", ... }]

Batch in groups of 100 if more than 100 leads.

Step 5: Assign sending accounts

mcp__smartlead__add_email_accounts_to_campaign
  campaign_id: {campaign_id}
  email_account_ids: [...]

Step 6: Set schedule

mcp__smartlead__update_campaign_schedule
  campaign_id: {campaign_id}
  schedule: { ... }

Step 7: Configure settings

mcp__smartlead__update_campaign_settings
  campaign_id: {campaign_id}
  settings: { track_opens: true, track_clicks: false, stop_on_reply: true }

If CSV-Based Tool (Instantly, Lemlist, Apollo, Other)

Step 1: Generate CSV

Columns depend on personalization tier:

Tier 1 (same template for all):

  • CSV columns: email, first_name, last_name, company, title, custom_field_1 (signal/hook)
  • Separate file with sequence templates (subjects + bodies with merge fields)

Tier 2/3 (per-segment or per-lead emails):

  • CSV columns: email, first_name, last_name, company, title, touch_1_subject, touch_1_body, touch_2_subject, touch_2_body, touch_3_subject, touch_3_body

Step 2: Save file

skills/cold-email-outreach/output/{campaign-name}-{YYYY-MM-DD}.csv

Step 3: Provide tool-specific import instructions

Instantly:

  • Upload CSV → Sequences → Create new sequence
  • Map columns: Email → email, First Name → first_name, etc.
  • Paste sequence templates into each step
  • Set delays between steps

Lemlist:

  • People → Import → Upload CSV
  • Map custom variables to columns
  • Create campaign → add email steps → insert variables

Apollo:

  • Sequences → Create Sequence → add email steps
  • Contacts → Import → Upload CSV
  • Add imported contacts to sequence

Other / Manual:

  • Provide the CSV path and explain the column structure
  • Ask user what format their tool expects, adjust if needed

Phase 5: Review & Launch

Present campaign summary:

Campaign: {name}
Leads: {count}
Sequence: {touches} touches over {days} days
Sending: {accounts} accounts × {daily_limit}/day = {daily_volume} emails/day
Estimated completion: {date}
Tool: {smartlead/instantly/etc.}

Hard Approval Gate

Do NOT activate the campaign without explicit user confirmation. Present the summary, then ask: "Ready to launch? Type 'yes' to activate."

  • Smartlead: mcp__smartlead__update_campaign_status → set to active
  • CSV tools: Tell user the file is ready for import, provide the file path

Phase 6: Tracking & Logging

Database Write Policy

All database writes in this phase require the user's prior approval from the launch gate in Phase 5. The Phase 5 approval ("Ready to launch?") covers both the campaign activation AND the subsequent logging. However, if the campaign was exported as CSV (not launched via Smartlead), confirm with the user before logging — they may not have actually imported/sent yet.

Log to Supabase

After launch (or export), insert records into outreach_log:

POST /rest/v1/outreach_log
Prefer: return=minimal

[
  {
    "person_id": "{person_uuid}",
    "campaign_name": "{campaign_name}",
    "external_campaign_id": "{smartlead_campaign_id or null}",
    "channel": "email",
    "tool": "{smartlead/instantly/lemlist/apollo/manual}",
    "sent_date": "{ISO timestamp}",
    "status": "sent",
    "client_name": "{client_name}"
  },
  ...
]

Or use the shared client:

client.log_outreach(entries)

For CSV-based tools: Log with status = "exported". It changes to "sent" when user confirms they launched the campaign in their tool.

Update People Records

Update last_contacted on the people table for all people in this campaign:

PATCH /rest/v1/people?id=in.({person_ids})
{ "last_contacted": "{ISO timestamp}" }

Present Summary

{count} people logged to outreach_log
last_contacted updated for {count} people
Campaign ID: {id}
Cooldown active until: {date + 84 days}
Next eligible re-contact: {date}

Cooldown Enforcement Rules

Reference section for cooldown logic used throughout this skill.

RuleDetail
Default cooldown84 days (12 weeks) from sent_date
Bounced leadsExempt from cooldown — email never reached them. Filter: status=neq.bounced when checking cooldown
Active campaign leadsAlways ineligible — if a lead is in an active campaign (status = "sent", no reply/bounce), they cannot be added to another campaign
User overrideUser can explicitly override cooldown for specific leads — ask for confirmation before allowing
Null last_contactedLeads never contacted are always eligible

Output Directory

Campaign exports are saved to:

skills/cold-email-outreach/output/

Create this directory if it doesn't exist. Files are named {campaign-name}-{YYYY-MM-DD}.csv.

平台分布

Codex

35.72%
按下载量换算199

Claude

32.41%
按下载量换算181

Cursor

18.17%
按下载量换算101

Gemini CLI

9.98%
按下载量换算56

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

继续浏览同类 Skills