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Agent skill

Email Campaign

by gooseworks-ai in gooseworks-ai/goose-skills

Build email campaigns - find emails, verify them, and prepare outreach

MITAuto-check passedMarketing & SEO

Install Email Campaign

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill email-campaign -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills email-campaign --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/outreach/capabilities/email-campaign .claude/skills/email-campaign && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
email-campaign
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
161 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Build email campaigns - find emails, verify them, and prepare outreach

  • Works in 6 steps: Find Emails by Domain → Find Specific Person's Email → Verify Emails → …
  • Tasks that involve Email marketing
  • SKILL.md covers Setup, Workflow, Campaign Building Pipeline and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Email Campaign is an agent skill from gooseworks-ai/goose-skills. Build email campaigns - find emails, verify them, and prepare outreach

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Marketing & SEO, covering Email marketing. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Email marketing

Example prompts

  • “/email-campaign”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Find Emails by Domain
  2. Find Specific Person's Email
  3. Verify Emails
  4. Batch Verification with Fiber
  5. Enrich for Personalization
  6. Get Company Context

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.gooseworks.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Email Campaign loads about 1.3k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 161 words, ~1,287 tokens.

Download SKILL.mdSave it as .claude/skills/email-campaign/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
email-campaign
description
Build email campaigns - find emails, verify them, and prepare outreach
source
orthogonal

Email Campaign - Build Verified Email Lists

Setup

Read your credentials from ~/.gooseworks/credentials.json:

bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Build targeted email campaigns with verified email addresses and personalized outreach.

Workflow

Step 1: Find Emails by Domain

Get all emails for target companies:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/domain-search","query":{"domain":"stripe.com"}}'
Step 2: Find Specific Person's Email

Find email for specific contacts:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-finder","query":{"domain":"stripe.com","first_name":"John","last_name":"Doe"}}'
Step 3: Verify Emails

Check deliverability before sending:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"john@stripe.com"}}'
Step 4: Batch Verification with Fiber

Validate multiple emails:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/validate-email/single","body":{"email":"john@stripe.com"}}'
Step 5: Enrich for Personalization

Get info for personalized outreach:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/enrich-lead"}'
  "lead_info": {
    "first_name": "John",
    "last_name": "Doe",
    "company": "Stripe"
  },
  "struct": {"email": "Work email", "phone": "Phone number"}
}'
Step 6: Get Company Context

Research company for personalization:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"stripe.com"}}'

Campaign Building Pipeline

bash
# 1. Find target companies
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/company-search"}'
  "searchParams": {
    "industries": ["SaaS"],
    "employee_count_min": 50,
    "employee_count_max": 500
  }
}'

# 2. Get emails for each company
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/domain-search","query":{"domain":"company.com"}}'

# 3. Verify each email
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"person@company.com"}}'

# 4. Enrich for personalization
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/enrich-lead","body":{"lead_info":{"first_name":"John","last_name":"Doe","company":"Company"},"struct":{"email":"Work email"}}}'

Tips

  • Always verify emails before sending
  • Personalize using enrichment data
  • Segment by role, industry, or company size
  • Track bounces and clean your list

Discover More

List all endpoints, or add a path for parameter details:

bash
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"brand-dev API endpoints"}' api show fiber
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"hunter API endpoints"}' api show sixtyfour

Example: curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"olostep","path":"/v1/scrapes"}' for endpoint parameters.

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/outreach/capabilities/email-campaign of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Email Campaign next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Email Campaign compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Email Campaign this skillgooseworks-ai/goose-skills1.2k1 repos~1.3kAutomated safety check: PassMIT
Email Sequencefreekmurze/dotfiles1k19 repos~2kAutomated safety check: PassNone
Emailscoreyhaines31/marketingskills54k1 repos~2.8kAutomated safety check: PassMIT
Email SequenceLeoYeAI/openclaw-marketing-skills1k2 repos~2.1kAutomated safety check: PassCustom licence
Onboarding Crofreekmurze/dotfiles1k16 repos~1.6kAutomated safety check: PassNone
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT

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Categories

Questions about Email Campaign

What does Email Campaign do?

Build email campaigns - find emails, verify them, and prepare outreach. Email Campaign is an agent skill from gooseworks-ai/goose-skills.

When should I use Email Campaign?

Email Campaign fits situations like: tasks that involve Email marketing.

How do I install Email Campaign in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill email-campaign -a claude-code`. Or copy the skill folder (skills/outreach/capabilities/email-campaign in gooseworks-ai/goose-skills) into .claude/skills/email-campaign in your project. Claude Code loads it when a task matches its description.

How do I install Email Campaign in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill email-campaign -a codex`. Or copy the skill folder (skills/outreach/capabilities/email-campaign in gooseworks-ai/goose-skills) into .agents/skills/email-campaign in your project. Codex loads it when a task matches its description.

Can I use Email Campaign in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill email-campaign -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/email-campaign, .gemini/skills/email-campaign, .github/skills/email-campaign and .opencode/skills/email-campaign in your project.

What does Email Campaign need to run?

Going by SKILL.md and its folder, Email Campaign needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Email Campaign access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Email Campaign safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Email Campaign use?

Email Campaign is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Email Campaign use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Email Campaign?

Skills that share tags, products or a category with Email Campaign: Email Sequence (freekmurze/dotfiles, 1k stars), Emails (coreyhaines31/marketingskills, 54k stars), Email Sequence (LeoYeAI/openclaw-marketing-skills, 1k stars) and Onboarding Cro (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Email Campaign?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.