Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
extruct-ai avatar

Email Search

  • 57 installs
  • 104 repo stars
  • Updated July 1, 2026
  • extruct-ai/gtm-skills

Helps with ai & agent building tasks.

About

email-search is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • email-search
  • AI & Agent Building
  • AI-coding skill

Email Search by the numbers

  • 57 all-time installs (skills.sh)
  • Ranked #6,669 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Jul 31, 2026 (Skillselion catalog sync)
npx skills add https://github.com/extruct-ai/gtm-skills --skill email-search

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs57
repo stars104
Last updatedJuly 1, 2026
Repositoryextruct-ai/gtm-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Email Finder

Turn LinkedIn profiles into verified emails and phones. Takes the output of people-search and runs it through contact enrichment providers like Prospeo or Fullenrich.

Related Skills

list-segmentation → people-search → email-search → email-generation → email-response-simulation → campaign-sending

After people-search finds WHO to contact (with LinkedIn URLs), this skill gets their verified contact info.

Extruct API Operations

This skill delegates all Extruct API calls to the extruct-api skill.

For all Extruct API operations, read and follow the instructions in skills/extruct-api/SKILL.md.

The only Extruct operation in this skill is reading people table data. Contact enrichment uses separate providers (Prospeo, Fullenrich, etc.) with their own APIs.

Inputs

InputSourceRequired
People table IDChild table from people-searchyes (or CSV)
People CSVclaude-code-gtm/csv/input/{campaign}/people_linkedin.csvyes (or table)
Provider preferenceUser choiceyes
Include mobile phonesUser choiceno (default: no)

Choosing a Provider

Ask the user which contact enrichment provider they want to use. If they need guidance, consider:

  • Have LinkedIn URLs? → providers with LinkedIn enrichment work best
  • Need highest email hit rate? → waterfall providers try multiple sources
  • Budget-conscious? → check credit costs per match
  • Need mobile phones? → confirm the provider covers phone data
  • Want maximum coverage? → run one provider first, then a second for misses

If the user doesn't know where to start, pre-configured options with local reference docs are available in references/.

Workflow

Step 0: Confirm provider and learn API

1. Ask the user which contact enrichment provider they want to use 2. Fetch or read the provider's API documentation and identify:

  • Enrichment endpoint (single and bulk)
  • Required input fields (LinkedIn URL, name, domain, etc.)
  • Authentication method and credentials
  • Throughput limits and request constraints
  • Response format (email, phone, verification status)
  • Credit/pricing model

3. Ask for their API credentials and confirm access 4. Plan the implementation and confirm with the user before proceeding

Step 1: Load people data

Option A: From Extruct people table (recommended) — Use the extruct-api skill to fetch data from the people table. Extract full_name, profile_url, role, and parent_row_id from each row. Split full name into first/last.

Option B: From CSV — Read claude-code-gtm/csv/input/{campaign}/people_linkedin.csv.

Step 2: Check credits

Before running enrichment, check the user's available credits or quota with the chosen provider (using the endpoint identified in Step 0). Present a cost estimate based on the number of contacts to enrich.

Step 3: Run enrichment

Using the chosen provider's API (from Step 0):

1. Prepare contact data in the format the provider expects (LinkedIn URL, name + domain, etc.) 2. Submit contacts in batches according to the provider's rate limits 3. Handle async responses if the provider uses polling 4. Collect results: emails, phone numbers, verification status 5. Track matched vs. unmatched contacts

If the user wants a waterfall (two providers), run the first provider, collect misses, then run misses through the second.

Step 4: Deduplicate and clean

Deduplicate by email. Filter out:

  • Entries with no email
  • Results where the provider marks verification as invalid

Step 5: Output contact CSV

Save enriched contacts to claude-code-gtm/csv/input/{campaign}/contacts.csv with columns:

  • first_name, last_name, email, email_verified, job_title, company_name, domain, linkedin_url, phone, location, source

Step 6: Review with user

Present summary:

Enrichment Results:
- Contacts submitted: N
- Emails found: N (X% hit rate)
- Emails verified: N
- Phones found: N
- No match: N
- Provider: [chosen provider]

Show a sample of 10 contacts for spot-checking:

NameTitleCompanyEmailPhoneSource
..................

Ask:

  • "Hit rate look acceptable? (>60% is good, >80% is great)"
  • "Want to run the misses through another provider?"
  • "Ready to proceed to email-generation?"

API References

Pre-configured provider docs in references/ directory. For other providers, docs are fetched during Step 0.

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.