Agent skill

Email Search

by extruct-ai in extruct-ai/gtm-skills

Get verified emails and phones for contacts found by people-search.

No licenceAuto-check passedDocuments & Office

Install Email Search

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill email-search -a claude-code

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

GitHub CLI
$ gh skill install extruct-ai/gtm-skills email-search --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/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/email-search .claude/skills/email-search && 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-search
GitHub stars
109
Token cost
~1.3k tokens
SKILL.md length
558 words
Files
3 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Get verified emails and phones for contacts found by people-search.

  • Works in 7 steps: Confirm provider and learn API → Load people data → Check credits → …
  • Enrich contacts
  • SKILL.md covers Related Skills, Extruct API Operations, Inputs and Choosing a Provider, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Email Search is an agent skill from extruct-ai/gtm-skills. Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a contact CSV ready for email-generation. Triggers on: "get emails", "find emails", "enrich contacts", "email finder", "get phone numbers", "enrich people", "contact enrichment", "verify emails", "email enrichment".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/fullenrich-api.md` and `references/prospeo-api.md`).

It sits in Documents & Office, covering OSINT, CSV and tabular files and Resume and CV writing. It works with LinkedIn.

When your agent uses it

  • Enrich contacts
  • Get phone numbers
  • Contact enrichment
  • Email enrichment

Example prompts

  • “get emails”
  • “find emails”
  • “enrich contacts”
  • “/email-search”

Workflow steps

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

  1. Confirm provider and learn API
  2. Load people data
  3. Check credits
  4. Run enrichment
  5. Deduplicate and clean
  6. Output contact CSV
  7. Review with user

What it can do on your machine

Read from SKILL.md and the folder at commit 34406cb. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Email Search loads about 1.3k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 558 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 558 words (~1,280 tokens).

“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.”

— opening of SKILL.md by extruct-ai
name
email-search

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/email-search of extruct-ai/gtm-skills.

  • SKILL.md
  • references/fullenrich-api.md
  • references/prospeo-api.md

Open the folder on GitHubat commit 34406cb

Compare with similar skills

Email Search 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 Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Email Search this skillextruct-ai/gtm-skills109—~1.3kAutomated safety check: PassNone
Contact Finder Contactoutmajiayu000/claude-skill-registry6662 repos~2.7kAutomated safety check: PassMIT
Linkedin Message Writergooseworks-ai/goose-skills1.2k1 repos~3.4kAutomated safety check: NotesMIT
Resume Skillyanliudesign/offer-toolkit-skill520—~1.1kAutomated safety check: PassMIT
Fullenrich Network ActivationOthmane-Khadri/YALC-the-GTM-operating-system317—~1.1kAutomated safety check: WarnMIT
Linkedin Outreachgooseworks-ai/goose-skills1.2k1 repos~4.4kAutomated safety check: NotesMIT

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  • Enrichment Design

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Works with

Questions about Email Search

What does Email Search do?

Get verified emails and phones for contacts found by people-search. Email Search is an agent skill from extruct-ai/gtm-skills. Get verified emails and phones for contacts found by people-search.

When should I use Email Search?

Email Search fits situations like: enrich contacts; get phone numbers; contact enrichment; email enrichment.

How do I install Email Search in Claude Code?

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

How do I install Email Search in Codex?

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

Can I use Email Search 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 extruct-ai/gtm-skills --skill email-search -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-search, .gemini/skills/email-search, .github/skills/email-search and .opencode/skills/email-search in your project.

What does Email Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Email Search is instructions for the agent only.

Does Email Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Email Search 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 Search use?

No licence was found for Email Search or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Email Search 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. Its references folder adds about 4k tokens, read only when the agent opens those files.

What are the alternatives to Email Search?

Skills that share tags, products or a category with Email Search: Contact Finder Contactout (majiayu000/claude-skill-registry, 666 stars), Linkedin Message Writer (gooseworks-ai/goose-skills, 1.2k stars), Resume Skill (yanliudesign/offer-toolkit-skill, 520 stars) and Fullenrich Network Activation (Othmane-Khadri/YALC-the-GTM-operating-system, 317 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Email Search?

extruct-ai (a GitHub organization) maintains it in extruct-ai/gtm-skills, which has 109 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 28, 2026.

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