Agent skill

List Building

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

Build targeted company lists for outbound campaigns using Extruct.

No licenceAuto-check passedMarketing & SEO

Install List Building

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill list-building -a claude-code

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

GitHub CLI
$ gh skill install extruct-ai/gtm-skills list-building --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/list-building .claude/skills/list-building && 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
list-building
GitHub stars
109
Token cost
~1.3k tokens
SKILL.md length
626 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Build targeted company lists for outbound campaigns using Extruct.

  • Works in 9 steps: Read context file for ICP, seed… → Follow the decision tree to pick the… → Draft queries (3-5 for Search, 1-2 for… → …
  • The user wants to:
  • SKILL.md covers Extruct API Operations, Decision Tree, Before You Start and Method 1: Lookalike Search, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

List Building is an agent skill from extruct-ai/gtm-skills. Build targeted company lists for outbound campaigns using Extruct. Use when the user wants to: (1) find companies matching an ICP, (2) build a prospect or outbound list, (3) search for companies by description, (4) discover companies in a market segment, (5) create a target account list, (6) research a competitive landscape, (7) find lookalike companies from a seed list. Triggers on: "find companies", "build a list", "company search", "prospect list", "target accounts", "outbound list", "discover companies", "ICP…

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Lead generation.

When your agent uses it

  • The user wants to:
  • Find companies matching an ICP
  • Build a prospect
  • Search for companies by description

Example prompts

  • “find companies”
  • “build a list”
  • “company search”
  • “/list-building”

Workflow steps

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

  1. Read context file for ICP, seed companies, and DNC list
  2. Follow the decision tree to pick the right method
  3. Draft queries (3-5 for Search, 1-2 for Deep Search)
  4. Delegate to the extruct-api skill to run queries and collect results
  5. Deduplicate across all results by domain
  6. Remove DNC domains
  7. Delegate to the extruct-api skill to upload to a company table
  8. Add agent columns if user needs custom research
  9. Ask user for preferred output: Extruct table link, local CSV, or both

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

List Building loads about 1.3k tokens when it runs. Until then it costs about 144 tokens; SKILL.md has 626 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
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

Without a licence we can't republish the file, so here is its outline and opening line. It has 626 words (~1,327 tokens).

“Build company lists using Extruct, guided by a decision tree. Reads from the company context file for ICP and seed companies.”

— opening of SKILL.md by extruct-ai
name
list-building

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/list-building of extruct-ai/gtm-skills.

Open the folder on GitHubat commit 34406cb

Compare with similar skills

List Building 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.

List Building compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
List Building this skillextruct-ai/gtm-skills109—~1.3kAutomated safety check: PassNone
Find Leadseracle/OpenOutreach3.2k—~4.6kAutomated safety check: PassGPL-3.0
100m Leadsgetagentseal/founder-playbook721—~2.3kAutomated safety check: PassMIT
GitHub Lead GenDucksss/codex-profiles177—~1kAutomated safety check: PassMIT
LinkedIn Ads Managementivangfalco/ads-skills278—~1.7kAutomated safety check: PassCustom licence
GitHub Lead QualificationDucksss/codex-profiles177—~1.2kAutomated safety check: PassMIT

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Categories

Questions about List Building

What does List Building do?

Build targeted company lists for outbound campaigns using Extruct. List Building is an agent skill from extruct-ai/gtm-skills. Build targeted company lists for outbound campaigns using Extruct.

When should I use List Building?

List Building fits situations like: the user wants to:; find companies matching an ICP; build a prospect; search for companies by description.

How do I install List Building in Claude Code?

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

How do I install List Building in Codex?

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

Can I use List Building 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 list-building -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/list-building, .gemini/skills/list-building, .github/skills/list-building and .opencode/skills/list-building in your project.

What does List Building need to run?

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

Does List Building 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 List Building 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 List Building use?

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

How many tokens does List Building use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 List Building?

Skills that share tags, products or a category with List Building: Find Leads (eracle/OpenOutreach, 3.2k stars), 100m Leads (getagentseal/founder-playbook, 721 stars), GitHub Lead Gen (Ducksss/codex-profiles, 177 stars) and LinkedIn Ads Management (ivangfalco/ads-skills, 278 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains List Building?

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.