Agent skill · AI & Agents

company-contact-finder

Find decision-makers at a specific company using Apollo, Crustdata, Fiber, and PDL people search via Gooseworks MCP. Given a company name and target titles, returns a list of contacts with name, title, LinkedIn URL, and location.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill company-contact-finder --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/lead-generation/capabilities/company-contact-finder/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# company-contact-finder Find decision-makers at a specific company by name and target titles. Uses Gooseworks MCP tools (Apollo, Crustdata, Fiber, PDL) with a layered fallback strategy to maximize results while minimizing cost. ## Inputs | Input | Required | Default | Description | |-------|----------|---------|-------------| | company_name | Yes | -- | The company to search (e.g., "EisnerAmper") | | company_linkedin_url | No | -- | Company LinkedIn URL for disambiguation | | target_titles | Yes | -- | List of titles to find (e.g., ["Partner", "Controller", "VP Finance"]) | | num_results | No | 10 | How many contacts to return | ## Procedure ### Step 1: Understand the Request Parse the user's request to extract: - **company_name** (required) -- the company to search at - **company_linkedin_url** (optional) -- helps disambiguate common names - **target_titles** (required) -- list of job titles or roles to find (e.g., ["Partner", "Controller", "VP Finance", "CFO"]) - **num_results** (optional, default 10) -- how many contacts to return If the user does not provide target titles, ask for them. Suggest common senior titles based on context: - For accounting/CPA firms: Partner, Managin

What's inside
Steps it walks through
  1. Inputs
  2. Procedure
  3. Step 1: Understand the Request
  4. Step 2: Apollo Search (Primary — cheapest at $0.01/call)
  5. Step 3: Evaluate Results
  6. Step 4: Fiber Search (Fallback 1 — $0.02/record)
  7. Step 5: Crustdata Structured Search (Fallback 2 — $0.66/page)
  8. Step 6: PDL Search (Fallback 3 — $0.30/record, most expensive)
  9. Step 7: Output
  10. Gooseworks MCP Tools Reference
  11. Cost Comparison (25 results)
  12. Tool Details
  13. Crustdata Filter Columns
  14. Examples
Ships with 1 file
  • skill.meta.json
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About this skill
What does the company-contact-finder skill do?

Find decision-makers at a specific company using Apollo, Crustdata, Fiber, and PDL people search via Gooseworks MCP. Given a company name and target titles, returns a list of contacts with name, title, LinkedIn URL, and location.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill company-contact-finder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going