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Agent skill

Lead Enrichment Sixtyfour

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

AI-powered lead enrichment - find emails, phones, and enrich company/lead data

MITAuto-check passedMarketing & SEO

Install Lead Enrichment Sixtyfour

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill lead-enrichment-sixtyfour -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills lead-enrichment-sixtyfour --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/lead-enrichment-sixtyfour .claude/skills/lead-enrichment-sixtyfour && 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
lead-enrichment-sixtyfour
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.3k tokens
SKILL.md length
356 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

AI-powered lead enrichment - find emails, phones, and enrich company/lead data

  • Works in 4 steps: Sales Prospecting: Find contact info for… → Lead Enrichment: Complete partial lead… → CRM Data Quality: Fill in missing fields… → …
  • Marketing & SEO work in your project
  • SKILL.md covers Setup, Capabilities, Usage and Use Cases, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai and linkedin.com; needs GOOSEWORKS_API_KEY

What it does

Lead Enrichment Sixtyfour is an agent skill from gooseworks-ai/goose-skills. AI-powered lead enrichment - find emails, phones, and enrich company/lead data

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. 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

  • Marketing & SEO work in your project

Example prompts

  • “/lead-enrichment-sixtyfour”

Requirements

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

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Sales Prospecting: Find contact info for potential customers
  2. Lead Enrichment: Complete partial lead data with emails/phones
  3. CRM Data Quality: Fill in missing fields in your CRM
  4. Account Research: Get comprehensive company information

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
    • linkedin.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

Lead Enrichment Sixtyfour loads about 1.3k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 356 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
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). 356 words, ~1,268 tokens.

Download SKILL.mdSave it as .claude/skills/lead-enrichment-sixtyfour/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
lead-enrichment-sixtyfour
description
AI-powered lead enrichment - find emails, phones, and enrich company/lead data
source
orthogonal

Sixtyfour - AI Lead Enrichment

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"

Find contact information and enrich lead data using AI-powered discovery.

Capabilities

  • Find email: Find email address for a lead
  • Enrich lead: Enrich lead information with additional details such as contact information, social profiles, and company details
  • Find Phone API: The Find Phone API uses Sixtyfour AI to discover phone numbers for leads
  • Enrich company: Enrich company data with additional information and find associated people

Usage

Find email

Find email address for a lead.

Parameters:

  • lead* (object) - Lead information to find email for
  • mode (string) - Email discovery mode. Allowed values: "PROFESSIONAL" (default) for company emails, "PERSONAL" for personal 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":"sixtyfour","path":"/find-email"}'
  "lead": {
    "first_name": "John",
    "last_name": "Doe",
    "company": "Acme Inc",
    "domain": "acme.com"
  }
}'
Enrich lead

Enrich lead information with additional details such as contact information, social profiles, and company details.

Parameters:

  • lead_info* (object) - Initial lead information as key-value pairs
  • struct* (object) - Fields to collect about the lead
  • research_plan (string) - Optional research plan to guide 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":"sixtyfour","path":"/enrich-lead"}'
  "lead_info": {
    "first_name": "John",
    "last_name": "Doe",
    "company": "Acme Inc",
    "linkedin_url": "https://linkedin.com/in/johndoe"
  },
  "struct": {"email": "Work email", "phone": "Phone number"}
}'
Find Phone API

The Find Phone API uses Sixtyfour AI to discover phone numbers for leads. It extracts contact information from lead data and returns enriched results with phone numbers.

Parameters:

  • lead* (object) - Lead information object
  • name (string) - Full name of the person
  • company (string) - Company name
  • linkedin_url (string) - LinkedIn profile URL
  • domain (string) - Company website domain
  • email (string) - Email address
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":"/find-phone"}'
  "lead": {
    "first_name": "John",
    "last_name": "Doe",
    "company": "Acme Inc"
  }
}'
Show full SKILL.md (123 more words)Show less
Enrich company

Enrich company data with additional information and find associated people.

Parameters:

  • target_company* (object) - Company data to enrich
  • struct* (object) - Fields to collect
  • lead_struct (object) - Custom schema to define the structure of returned lead data.
  • find_people (boolean) - Whether to find people associated with the company
  • research_plan (string) - Optional strategy describing how the agent should search for information
  • people_focus_prompt (string) - Description of people to find, typically includes the roles or responsibilities of the people you’re looking for
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-company"}'
  "target_company": {"domain": "acme.com"},
  "struct": {"description": "Company description", "industry": "Industry"}
}'

Use Cases

  1. Sales Prospecting: Find contact info for potential customers
  2. Lead Enrichment: Complete partial lead data with emails/phones
  3. CRM Data Quality: Fill in missing fields in your CRM
  4. Account Research: Get comprehensive company information

Discover More

For full endpoint details and parameters:

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":"sixtyfour API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/find-email"}'   # Get endpoint details

© 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/lead-enrichment-sixtyfour 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

Lead Enrichment Sixtyfour 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.

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SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Lead Enrichment Sixtyfour

What does Lead Enrichment Sixtyfour do?

AI-powered lead enrichment - find emails, phones, and enrich company/lead data. Lead Enrichment Sixtyfour is an agent skill from gooseworks-ai/goose-skills.

When should I use Lead Enrichment Sixtyfour?

Lead Enrichment Sixtyfour fits situations like: marketing & SEO work in your project.

How do I install Lead Enrichment Sixtyfour in Claude Code?

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

How do I install Lead Enrichment Sixtyfour in Codex?

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

Can I use Lead Enrichment Sixtyfour 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 lead-enrichment-sixtyfour -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lead-enrichment-sixtyfour, .gemini/skills/lead-enrichment-sixtyfour, .github/skills/lead-enrichment-sixtyfour and .opencode/skills/lead-enrichment-sixtyfour in your project.

What does Lead Enrichment Sixtyfour need to run?

Going by SKILL.md and its folder, Lead Enrichment Sixtyfour 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 Lead Enrichment Sixtyfour access the network?

SKILL.md names 2 domains. In commands or code: api.gooseworks.ai and linkedin.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Lead Enrichment Sixtyfour 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 Lead Enrichment Sixtyfour use?

Lead Enrichment Sixtyfour 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 Lead Enrichment Sixtyfour 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 Lead Enrichment Sixtyfour?

Skills that share tags, products or a category with Lead Enrichment Sixtyfour: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lead Enrichment Sixtyfour?

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.