Agent skill

Contact Finder Contactout

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

Find emails, phone numbers, and enrich profiles using ContactOut.

MITAuto-check passedBusiness, Finance & HR

Install Contact Finder Contactout

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill contact-finder-contactout -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills contact-finder-contactout --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/lead-generation/capabilities/contact-finder-contactout .claude/skills/contact-finder-contactout && 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
contact-finder-contactout
GitHub stars
1.2k
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
668 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Find emails, phone numbers, and enrich profiles using ContactOut.

  • Works in 7 steps: LinkedIn Profile Enrichment → Contact Details from LinkedIn → Batch LinkedIn Enrichment (sync, up to 30) → …
  • Tasks that involve Resume and CV writing
  • SKILL.md covers Setup, When to Use, Endpoints and Accepted Values (for People…, plus 3 more sections
  • Calls curl, python3 and npx; reaches linkedin.com and api.orth.sh; needs GOOSEWORKS_API_KEY

What it does

Contact Finder Contactout is an agent skill from gooseworks-ai/goose-skills. Find emails, phone numbers, and enrich profiles using ContactOut. LinkedIn enrichment, people search, company enrichment, and batch operations.

Its SKILL.md is about 2.7k 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 Business, Finance & HR, covering Resume and CV writing and OSINT. It works with LinkedIn. 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 Resume and CV writing
  • Tasks that involve OSINT

Example prompts

  • “/contact-finder-contactout”

Requirements

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

Workflow steps

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

  1. LinkedIn Profile Enrichment
  2. Contact Details from LinkedIn
  3. Batch LinkedIn Enrichment (sync, up to 30)
  4. Enrich from Email
  5. People Enrich (multi-signal)
  6. Domain Enrichment
  7. People Count (free)

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:

    • linkedin.com
    • api.orth.sh
    • api.gooseworks.ai

    Also links to:

    • docs.google.com

    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

Contact Finder Contactout loads about 2.7k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 668 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

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). 668 words, ~2,652 tokens.

Download SKILL.mdSave it as .claude/skills/contact-finder-contactout/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
contact-finder-contactout
description
Find emails, phone numbers, and enrich profiles using ContactOut. LinkedIn enrichment, people search, company enrichment, and batch operations.
source
orthogonal

ContactOut

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"

Sales and recruitment intelligence platform. Find anyone's email and phone number, enrich LinkedIn profiles, look up people from email or multiple signals, and get company info from domains.

When to Use

  • Find someone's email or phone from their LinkedIn profile
  • Enrich a person from name + company or email
  • Look up a profile from an email address
  • Get company information from a domain
  • Batch enrich multiple LinkedIn profiles
  • Estimate how many people match a search (free count)

Endpoints

1. LinkedIn Profile Enrichment

Get full profile details (email, phone, work history, education, skills) from a LinkedIn URL.

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":"contactout","path":"/v1/linkedin/enrich","query":{"profile":"https://www.linkedin.com/in/williamhgates"}}'
<details>
<summary>curl equivalent</summary>
bash
curl -X POST "https://api.orth.sh/v1/run" \

  -H "Content-Type: application/json" \
  -d '{"api":"contactout","path":"/v1/linkedin/enrich","query":{"profile":"https://www.linkedin.com/in/williamhgates"}}'
</details>

Parameters:

  • profile (required) - LinkedIn profile URL (must start with http and contain linkedin.com/in/)
  • profile_only (optional, boolean) - If true, returns profile without contact info (cheaper)

Returns: Full profile with emails, phones, work history, education, skills, company info, seniority, job function.


2. Contact Details from LinkedIn

Get just contact details (emails, phones) for a LinkedIn profile. Lighter than full enrichment.

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":"contactout","path":"/v1/people/linkedin","query":{"profile":"https://www.linkedin.com/in/williamhgates","include_phone":"true"}}'
<details>
<summary>curl equivalent</summary>
bash
curl -X POST "https://api.orth.sh/v1/run" \

  -H "Content-Type: application/json" \
  -d '{"api":"contactout","path":"/v1/people/linkedin","query":{"profile":"https://www.linkedin.com/in/williamhgates","include_phone":"true"}}'
</details>

Parameters:

  • profile (required) - LinkedIn profile URL
  • include_phone (optional, boolean, default: false) - Include phone numbers
  • email_type (optional) - Filter emails: personal, work, personal,work, or none

3. Batch LinkedIn Enrichment (sync, up to 30)
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":"contactout","path":"/v1/people/linkedin/batch","body":{"profiles":["https://linkedin.com/in/person1","https://linkedin.com/in/person2"]}}'

Parameters:

  • profiles (required, array, max 30) - Array of LinkedIn profile URLs

4. Enrich from Email

Get profile details from an email address. Personal emails have higher match rates.

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":"contactout","path":"/v1/email/enrich","query":{"email":"john@example.com","include":"work_email"}}'

Parameters:

  • email (required) - Email address
  • include (optional) - Set to work_email to include work email in response

5. People Enrich (multi-signal)

Enrich a person using multiple data points. Needs at least one primary identifier (linkedin_url, email, or phone) or name + company.

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":"contactout","path":"/v1/people/enrich"}'
  "full_name": "Patrick Collison",
  "company": ["Stripe"],
  "company_domain": ["stripe.com"],
  "include": ["work_email", "personal_email", "phone"]
}'

Parameters:

  • linkedin_url (optional) - LinkedIn profile URL
  • email (optional) - Email address
  • phone (optional) - Phone number
  • full_name (optional) - Full name (or use first_name + last_name)
  • first_name / last_name (optional) - Used together
  • company (optional, array, max 10) - Company names
  • company_domain (optional, array, max 10) - Company domains
  • job_title (optional) - Job title
  • location (optional) - Location
  • education (optional, array, max 10) - Educational institutions
  • include (optional, array) - Data to include: work_email, personal_email, phone

Note: Name-only searches need at least one secondary param (company, domain, education, location, or job_title).


6. Domain Enrichment

Get company information from domain names.

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":"contactout","path":"/v1/domain/enrich","body":{"domains":["stripe.com","google.com"]}}'

Parameters:

  • domains (required, array, max 30) - Domain names

Returns: Company details including name, industry, size, revenue, funding, headquarters, LinkedIn URL, specialties.


Show full SKILL.md (270 more words)Show less
7. People Count (free)

Count matching profiles without returning data. Use to estimate results before searching.

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":"contactout","path":"/v1/people/count","body":{"domain":["stripe.com"],"seniority":["VP","CXO","Director"]}}'

Parameters: Same search filters as People Search (name, job_title, company, domain, location, industry, seniority). Returns only total_results.

Cost: Free, no credits consumed.

Accepted Values (for People Count)

Seniority Levels

Owner / Founder, CXO, Partner, VP, Head, Director, Manager, Senior, Entry, Intern

Job Functions

Operations, Business Development, Sales, Education, Engineering, Healthcare Services, Information Technology, Administrative, Arts and Design, Customer Success and Support, Finance, Community and Social Services, Media and Communication, Accounting, Marketing, Human Resources, Research, Program and Project Management, Legal, Military and Protective Services, Consulting, Entrepreneurship, Real Estate, Quality Assurance, Purchasing, Product Management, Leadership

Company Size

1_10, 11_50, 51_200, 201_500, 501_1000, 1001_5000, 5001_10000, 10001

Industries

Computer Software, Internet, Financial Services, Hospital & Health Care, Marketing and Advertising, Information Technology and Services, Telecommunications, Management Consulting, Real Estate, Retail, and many more. Full list: https://docs.google.com/spreadsheets/d/14drLUuDLgxPflIsPNgV_w05N6guY4GtCCCd36zT4vg0

Examples

"Get Bill Gates' email"

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":"contactout","path":"/v1/linkedin/enrich","query":{"profile":"https://www.linkedin.com/in/williamhgates"}}'

"Look up who this email belongs to"

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":"contactout","path":"/v1/email/enrich","query":{"email":"john@company.com"}}'

"Find Patrick Collison's contact info"

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":"contactout","path":"/v1/people/enrich","body":{"full_name":"Patrick Collison","company":["Stripe"],"include":["work_email","personal_email","phone"]}}'

"Get company info for stripe.com"

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":"contactout","path":"/v1/domain/enrich","body":{"domains":["stripe.com"]}}'

"How many CTOs are there at fintech companies in SF?"

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":"contactout","path":"/v1/people/count","body":{"job_title":["CTO"],"industry":["Financial Services"],"location":["San Francisco"]}}'

"Get contact details for these 3 LinkedIn profiles"

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":"contactout","path":"/v1/people/linkedin/batch","body":{"profiles":["https://linkedin.com/in/person1","https://linkedin.com/in/person2","https://linkedin.com/in/person3"]}}'

Error Handling

  • 400 - Invalid parameter values. Check accepted values lists above (especially seniority and industry).
  • 404 - Person/company not found. Try different identifiers or broader search.
  • 429 - Rate limited. People Search: 60/min, Email Verify: 150/min, Others: 1000/min.

Tips

  • Use /v1/people/count first (free) to estimate results before committing to paid calls
  • Personal emails have higher match rates than work emails for email enrichment
  • For batch operations, v1 batch supports up to 30 profiles synchronously
  • People enrich works best with a LinkedIn URL as the primary identifier

© 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/lead-generation/capabilities/contact-finder-contactout 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 9, 2026.

Compare with similar skills

Contact Finder Contactout 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.

Contact Finder Contactout compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Contact Finder Contactout this skillgooseworks-ai/goose-skills1.2k1 repos~2.7kAutomated safety check: PassMIT
Email Searchextruct-ai/gtm-skills109—~1.3kAutomated safety check: PassNone
People Searchextruct-ai/gtm-skills109—~1.3kAutomated safety check: PassNone
Build Tailored ResumeSankaiAI/ats-optimized-resume-agent-skill106—~4.4kAutomated safety check: NotesMIT
Job Description Skillyanliudesign/job-description-skill112—~1.8kAutomated safety check: PassNone
Linkedin Profile Optimizersergebulaev/linkedin-skills4.4k1 repos~1.5kAutomated safety check: PassMIT

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Works with

Questions about Contact Finder Contactout

What does Contact Finder Contactout do?

Find emails, phone numbers, and enrich profiles using ContactOut. Contact Finder Contactout is an agent skill from gooseworks-ai/goose-skills. Find emails, phone numbers, and enrich profiles using ContactOut.

When should I use Contact Finder Contactout?

Contact Finder Contactout fits situations like: tasks that involve Resume and CV writing; tasks that involve OSINT.

How do I install Contact Finder Contactout in Claude Code?

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

How do I install Contact Finder Contactout in Codex?

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

Can I use Contact Finder Contactout 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 contact-finder-contactout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/contact-finder-contactout, .gemini/skills/contact-finder-contactout, .github/skills/contact-finder-contactout and .opencode/skills/contact-finder-contactout in your project.

What does Contact Finder Contactout need to run?

Going by SKILL.md and its folder, Contact Finder Contactout 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 Contact Finder Contactout access the network?

SKILL.md names 4 domains. In commands or code: linkedin.com, api.orth.sh and api.gooseworks.ai; the agent is likely to contact these when it follows the instructions. As links in the text: docs.google.com. This is read from the text; nothing was executed.

Is Contact Finder Contactout 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 Contact Finder Contactout use?

Contact Finder Contactout 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 Contact Finder Contactout use?

About 2.7k tokens (SKILL.md is roughly 11k 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 Contact Finder Contactout?

Skills that share tags, products or a category with Contact Finder Contactout: Email Search (extruct-ai/gtm-skills, 109 stars), People Search (extruct-ai/gtm-skills, 109 stars), Build Tailored Resume (SankaiAI/ats-optimized-resume-agent-skill, 106 stars) and Job Description Skill (yanliudesign/job-description-skill, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Contact Finder Contactout?

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.