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Agent skill

Lead Enrichment

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

Enrich leads with email, phone, company data using multiple data sources

MITAuto-check passed

Install Lead Enrichment

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

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills lead-enrichment --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 .claude/skills/lead-enrichment && 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
GitHub stars
1.2k
Used in
1 other repo
Token cost
~1.4k tokens
SKILL.md length
145 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Enrich leads with email, phone, company data using multiple data sources

  • Works in 6 steps: Find Email Address → Verify Email → Get More Contact Info → …
  • SKILL.md covers Setup, Workflow, Full Enrichment Pipeline and Tips, plus 1 more section
  • Calls curl, python3 and npx; reaches linkedin.com and api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Lead Enrichment is an agent skill from gooseworks-ai/goose-skills. Enrich leads with email, phone, company data using multiple data sources

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

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.

Example prompts

  • “/lead-enrichment”

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 Email Address
  2. Verify Email
  3. Get More Contact Info
  4. Find Phone Number
  5. Enrich Company Data
  6. Get LinkedIn Data

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.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

Lead Enrichment loads about 1.4k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 145 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 145 words, ~1,398 tokens.

Download SKILL.mdSave it as .claude/skills/lead-enrichment/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
lead-enrichment
description
Enrich leads with email, phone, company data using multiple data sources
source
orthogonal

Lead Enrichment - Complete Contact Data

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"

Enrich partial lead data with emails, phone numbers, and company information using multiple APIs.

Workflow

Step 1: Find Email Address

Use Hunter to find 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":"hunter","path":"/v2/email-finder","query":{"domain":"stripe.com","first_name":"John","last_name":"Doe"}}'
Step 2: Verify Email

Verify the email is deliverable:

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 3: Get More Contact Info

Use Sixtyfour for additional 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": "Stripe",
    "linkedin_url": "https://linkedin.com/in/johndoe"
  },
  "struct": {"email": "Work email", "phone": "Phone number"}
}'
Step 4: Find Phone Number

Use Sixtyfour to find phone:

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": "Stripe"
  }
}'
Step 5: Enrich Company Data

Get detailed company information:

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/companies/find","query":{"domain":"stripe.com"}}'
Step 6: Get LinkedIn Data

Fetch real-time LinkedIn profile:

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/linkedin-live-fetch/profile/single","body":{"identifier":"https://linkedin.com/in/johndoe"}}'

Full Enrichment Pipeline

bash
# 1. Start with name + company
export NAME="John Doe"
export COMPANY="Stripe"
export DOMAIN="stripe.com"

# 2. Find email (Hunter)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-finder","query":{"domain":"$DOMAIN","first_name":"John","last_name":"Doe"}}'

# 3. Verify 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":"john@stripe.com"}}'

# 4. Get full lead profile (Sixtyfour)
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":"Stripe"},"struct":{"email":"Work email"}}}'

# 5. Find phone
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","body":{"lead":{"first_name":"John","last_name":"Doe","company":"Stripe"}}}'

# 6. Get company details
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/companies/find","query":{"domain":"stripe.com"}}'

Tips

  • Always verify emails before outreach
  • Use multiple sources for better coverage
  • LinkedIn URLs dramatically improve match rates
  • Cache results to avoid duplicate lookups

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":"fiber API endpoints"}' api show hunter
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"}'

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/lead-generation/capabilities/lead-enrichment 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 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.

Lead Enrichment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lead Enrichment this skillgooseworks-ai/goose-skills1.2k1 repos~1.4kAutomated safety check: PassMIT
Lead Enrichmenttech-leads-club/agent-skills7k—~5.3kAutomated safety check: PassCustom licence
Company Brain Company QAtopoteretes/cognee32k—~750Automated safety check: NotesApache-2.0
Lead Magnetssickn33/agentic-awesome-skills47k2 repos~2.8kAutomated safety check: PassMIT
Apify Lead Generationsickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
Lead Generation Research GuideRightNow-AI/openfang18k—~1.8kAutomated safety check: PassApache-2.0

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Questions about Lead Enrichment

What does Lead Enrichment do?

Enrich leads with email, phone, company data using multiple data sources. Lead Enrichment is an agent skill from gooseworks-ai/goose-skills.

How do I install Lead Enrichment in Claude Code?

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

How do I install Lead Enrichment in Codex?

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

Can I use Lead Enrichment 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 -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, .gemini/skills/lead-enrichment, .github/skills/lead-enrichment and .opencode/skills/lead-enrichment in your project.

What does Lead Enrichment need to run?

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

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

Is Lead Enrichment 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 use?

Lead Enrichment 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 use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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?

Skills that share tags, products or a category with Lead Enrichment: Lead Enrichment (tech-leads-club/agent-skills, 7k stars), Company Brain Company QA (topoteretes/cognee, 32k stars), Lead Magnets (sickn33/agentic-awesome-skills, 47k stars) and Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lead Enrichment?

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.