SkillAtlasSkill 详情

cold-email-outreach

Put your AI agent on the growth team.

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项目 README

来源文件:README.md

抓取于 2026年8月21日
CleanShot 2026-07-13 at 20 15 47@2x CleanShot 2026-07-13 at 20 16 54@2x

AI Skills for Brand Growth

Put your AI agent on the growth team.

Research customers and competitors, analyze what is working, create the next campaign, and learn from the result. Goose Skills gives Claude Code, Cursor, Codex, and other coding agents ready-to-use workflows for ads, social media, content, competitive intelligence, SEO, lead generation, and GTM.

Browse all skills at https://skills.gooseworks.ai

Works with Claude Code · Cursor · Codex

npm version License: MIT Skills


Contents


Quick Start

AI Coding Agents (Claude Code, Cursor, Codex, etc)

Paste this into your coding agent (Claude Code, Cursor, or Codex) and it'll set everything up:

Install the Gooseworks skills:

In the terminal, run `npx gooseworks install --all`.

Then run `npx gooseworks login` and it'll open a browser to sign in and set up the tools, then confirm it worked.

The skills can be used with /gooseworks <prompt>

Claude Cowork

Run this command in a terminal first:

npx gooseworks install --all

Then authenticate:

npx gooseworks login

Then make sure you're working inside a local folder on your machine, and then you can use the skills in Cowork like this:

Use /gooseworks skill to generate some ad creatives

Install manually

Prefer to run it yourself? Use the command directly:

npx gooseworks install --all       # All detected agents

This gives your coding agent access to the full catalog of 200+ skills. After installing, just ask your agent to use any skill by name.

If you want a cloud-based AI coworker that already knows all these skills and more, sign up to Gooseworks


Brand Growth collection

The Brand Growth collection is a curated path through the normal Goose Skills catalog for consumer and ecommerce brand work. It is not a separate package or command: install GooseWorks once, then ask /gooseworks for the outcome you need.

StageWhat your agent can doExample skills
ResearchUnderstand the brand, customers, competitors, audiences, creators, trends, comments, and product demandbrand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research
AnalyzeDiagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performancecompetitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder
CreateRepurpose research, remix graphic ads, make product photography and social graphics, and animate static imagescontent-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image
Learn and iterateBring results back into research and analysis, then decide the next testRe-run the relevant analysis skill with current performance and audience evidence

ScrapeCreators powers structured public social and ad-library research behind several workflows. Signed-in GooseWorks users access it through the managed first-party proxy and do not need a separate ScrapeCreators key. The user-facing skills turn that source data into a brief, shortlist, analysis, or recommendation instead of returning raw API output.

Browse the Brand Growth collection

After installation, start with:

/gooseworks onboard me

The agent will collect the useful company context for future growth work and finish by asking what you want to do first. Existing users can skip onboarding and keep using /gooseworks exactly as they do today.


Commands

npx gooseworks search "reddit scraping"   # Search the skill catalog
npx gooseworks credits                     # Check your credit balance
npx gooseworks update                      # Update to latest skill version

Skills Catalog

200+ skills across the growth stack, grouped by focus area:

CategoryWhat's inside
AdsResearch, build, and analyze paid campaigns across Meta and Google
SEOKeyword research, content gaps, SERP analysis, technical audits
Lead generationFind, enrich, and qualify prospects for your pipeline
OutreachDraft, personalize, and run outbound across email and social
ContentBlog posts, social content, carousels, video scripts, newsletters
ResearchCompany, market, and prospect deep-dives
Competitive intelTrack competitor pricing, launches, positioning, and ads
MonitoringWatch for mentions, signals, and changes across the web
SocialScrape and analyze social platforms and audiences
BrandVoice, positioning, and visual brand assets

Browse and search every skill at skills.gooseworks.ai.


Usage Examples

After installing, just ask your coding agent naturally:

"/gooseworks Generate static ad creatives for my brand"
"/gooseworks Use the reddit-post-finder skill to search r/startups"
"/gooseworks Use the apollo-lead-finder skill to find CTOs at AI companies"
"/gooseworks Use the competitor-intel skill to research Acme Corp"
"/gooseworks Use the goose-graphics skill to create a LinkedIn carousel about our launch"

Your agent will search the GooseWorks catalog, download the skill, and run it automatically.


Building from Source

git clone https://github.com/gooseworks-ai/goose-skills.git
cd goose-skills
node scripts/validate-skills.js  # Validate SKILL.md + skill.meta.json contract
node scripts/build-index.js      # Generate skills-index.json
node bin/goose-skills.js list    # Test locally

Skill Metadata Contract

Each skill directory must include:

  • SKILL.md — Skill documentation and usage guide
  • skill.meta.json — Machine-readable metadata

skill.meta.json fields:

FieldRequiredDescription
slugYesUnique kebab-case identifier
categoryYescapabilities, composites, or playbooks
tagsYesString array of category tags
installation.base_commandYesInstall command
installation.supportsYesArray: claude, codex, cursor
featuresNoFeature flags
github_urlNoSource repository URL
authorNoSkill author
example_promptNoCopyable prompt shown in the catalog and docs for trying the skill

Security & Trust

These skills run inside your coding agent, so it's worth knowing exactly what they do:

  • Open source & inspectable. Every skill — its SKILL.md instructions and all scripts — lives in this repo under the MIT license. The gooseworks CLI fetches skills at runtime so recipes stay current, but the source you'd run is right here to read, diff, or pin before you run it.
  • Scripts run locally. Skill scripts execute on your machine and write to /tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.
  • Your agent stays in control. The skills are a tool your agent reaches for when it fits the task (data at scale, sources behind auth, a specific provider) — not a replacement for its built-in web search or fetch on quick lookups. You can read or edit any installed SKILL.md to tune that behavior.
  • Credentials stay local. Auth is a Bearer token stored at ~/.gooseworks/credentials.json (file mode 0600). Third-party provider keys (Apify, Apollo, etc.) are held server-side — your token never touches them. All network calls are HTTPS.
  • The MCP server is opt-in. Registering the GooseWorks MCP server is off by default; it only happens if you explicitly run gooseworks install --mcp.

Found something that looks off? Open an issue — we'd rather fix it in public.


License

MIT — see LICENSE for details.

The skill files and CLI in this repository are MIT-licensed. The GooseWorks API they connect to is a separate paid service governed by its own terms.

其他

中风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/outreach/capabilities/cold-email-outreach" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/outreach/capabilities/cold-email-outreach" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/outreach/capabilities/cold-email-outreach" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/outreach/capabilities/cold-email-outreach" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/outreach/capabilities/cold-email-outreach" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: cold-email-outreach
description: >
  End-to-end cold email outreach orchestration. Handles goal alignment, lead
  ingestion from any source (CSV, paste, CRM export, database), sequence design,
  email generation, campaign setup in the user's chosen outreach tool, and launch.
  Tool-agnostic — supports Smartlead (full MCP automation), Instantly, Lemlist,
  Apollo, or manual CSV export.
tags: [outreach]

Cold Email Outreach

The final mile of the outbound pipeline. Takes leads from wherever the user has them, builds email sequences, loads campaigns into the user's chosen outreach tool, and launches.

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 Use

Use this skill when:

  • User says "launch a campaign", "send outreach", "email these leads", "set up cold email"
  • User has a list of leads and wants to run an outbound email campaign
  • User wants to create and configure a campaign in Smartlead or another outreach tool

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, allocate mailboxes, 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

Environment Variables

For Smartlead (full automation):

SMARTLEAD_API_KEY=your_api_key_here

All Smartlead API calls go to https://server.smartlead.ai/api/v1 with ?api_key=$SMARTLEAD_API_KEY appended. Rate limit: 10 requests per 2 seconds.

For CSV-based tools: No env vars needed.

Phase 0: Intake

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

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 Source

  1. Where are your leads? Accept any of these:
    • CSV file — read the file, map columns to required fields
    • Pasted list — names, emails, companies pasted directly
    • CRM export — Salesforce, HubSpot, or other CRM data
    • Database query — if the user has a database, help them query it
    • Upstream output — data from a prior task in this conversation
  2. Any exclusions? (specific companies, recently contacted leads, certain titles)
  3. Max campaign size? (default: 200)

Minimum required per lead: email address. Nice to have: first_name, last_name, company, title.

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 Ingestion

Parse Leads

Accept leads from whatever source the user provides:

  • CSV file: Read the file. Flexibly match columns:
    • email (required) — also matches Email, email_address
    • first_name — also matches firstname, first, First Name
    • last_name — also matches lastname, last, Last Name
    • company_name — also matches company, organization, Company
    • Any extra columns become custom fields
  • Pasted data: Parse whatever format the user provides. Extract emails, names, companies.
  • CRM/Database: Help the user query or export, then parse the result.

Validate & Deduplicate

  • Remove rows without a valid email
  • Deduplicate by email (keep first occurrence)
  • Report: total rows, valid, invalid, duplicates removed

Present & Confirm

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

  • Name, Title, Company, Email

Tell user: total eligible leads, how many were invalid/removed.

Ask user to confirm or adjust 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

Write the email copy directly using these guidelines.

Email Structure Formula

Every cold email follows this skeleton:

Hook (1 sentence) → Evidence (1-2 sentences) → Offer (1 sentence)

Word count targets:

  • Cold intro (Touch 1): 50-90 words
  • Follow-up (Touch 2-3): 30-50 words
  • Breakup (final touch): 20-40 words

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.

Hard Rules

  1. No filler openers. Never "I hope this finds you well"
  2. No "just checking in" follow-ups. Every touch adds a new reason to reply
  3. Under 150 words per email. Most should be 80-120.
  4. One CTA per email. Always low-friction.
  5. No selling in the first sentence. Lead with them, not you.
  6. Subject lines under 50 chars. No caps, no exclamation marks, no emoji.
  7. Sign off with name only. No "Best regards."

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: Find and allocate mailboxes

mcp__smartlead__get_email_accounts

Returns all email accounts with id, from_email, from_name, daily_sent_count, is_smtp_success, is_imap_success.

To find free mailboxes (not already assigned to active campaigns):

  1. Fetch all campaigns: mcp__smartlead__get_campaigns
  2. For each campaign with status ACTIVE or STARTED, fetch its email accounts: mcp__smartlead__get_campaign_email_accounts
  3. Build a set of all email_account_id values currently assigned to active campaigns
  4. A mailbox is "free" if its id is NOT in the active set AND is_smtp_success = true AND is_imap_success = true
  5. Sort free mailboxes by daily_sent_count ascending (prefer least-used)
  6. Select the requested number of free mailboxes

If fewer free mailboxes than requested, tell the user and ask how to proceed.

Present available/selected accounts to user for confirmation.

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).

Note: Blank subject on emails 2+ makes them send as replies in the same thread.

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: "...", ... }]

Smartlead accepts max 100 leads per call. Chunk the list and call for each batch. Extra columns become custom_fields.

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: {
    timezone: "America/New_York",
    days_of_the_week: [1, 2, 3, 4, 5],
    start_hour: "08:00",
    end_hour: "18:00",
    min_time_btw_emails: 10,
    max_new_leads_per_day: 20
  }

days_of_the_week: 0=Sunday, 1=Monday, ..., 6=Saturday.

Step 7: Configure settings

mcp__smartlead__update_campaign_settings
  campaign_id: {campaign_id}
  settings: {
    track_settings: [],
    stop_lead_settings: "REPLY_TO_AN_EMAIL",
    send_as_plain_text: false,
    follow_up_percentage: 100
  }

Allowed track_settings: DONT_TRACK_EMAIL_OPEN, DONT_TRACK_LINK_CLICK, DONT_TRACK_REPLY_TO_AN_EMAIL Allowed stop_lead_settings: REPLY_TO_AN_EMAIL, CLICK_ON_A_LINK, OPEN_AN_EMAIL

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

Save to the current working directory:

{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 status to START
  • CSV tools: Tell user the file is ready for import, provide the file path

Smartlead API Reference

All endpoints use base URL https://server.smartlead.ai/api/v1 with ?api_key= query param.

EndpointMethodPurpose
/campaigns/createPOSTCreate a new campaign
/campaignsGETList all campaigns
/campaigns/{id}GETGet campaign by ID
/campaigns/{id}/schedulePOSTSet campaign schedule
/campaigns/{id}/settingsPOSTUpdate tracking/stop settings
/campaigns/{id}/sequencesPOSTSave email sequences
/campaigns/{id}/leadsPOSTAdd leads (max 100 per call)
/campaigns/{id}/email-accountsGETList mailboxes on a campaign
/campaigns/{id}/email-accountsPOSTAssign mailboxes to campaign
/campaigns/{id}/statusPOSTChange campaign status (START/PAUSED/STOPPED)
/campaigns/{id}/analyticsGETTop-level campaign analytics
/email-accounts/GETList all email accounts (offset/limit)

Cost

ComponentCost
Smartlead campaign setupFree (API included with Smartlead plan)
CSV exportFree
Email copy generationFree (LLM reasoning)

Error Handling

ErrorFix
SMARTLEAD_API_KEY not setAsk user to add it to .env or export it
Smartlead rate limit (429)Wait 2 seconds and retry
Lead upload failsCheck email format, retry batch
No free mailboxesShow all accounts, ask user which to use
Campaign creation failsCheck API key validity

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