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.
SkillScore78Maintained
Automatic
◆Sales & GTM pack
Last verified 8/16/2026
What it changes
Passed 16 of 21 test cases with the skill, and 10 of 21 without it.
Without skill48%
With skill78%
Checks it passed that the model alone missed
Includes sources in the JSON payload to list which tools returned matches
Queries the primary low-cost search tool before trying fallback providers
Constructs a natural language query combining job titles with the company name
and 7 more in the full report
7 fixed11 passed either way5 still failing0 broke
Pass-rate lift
+30 pp
Tokens
+138%
Agent turns
0%
Response time
-32%
Model gemini-3.6-flashMeasured 8/16/2026v118 of 23 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 7
Prompt
A user requests senior decision-makers broadly at a firm using Crustdata without specifying exact titles. What column and value filter should be added?
What was checked, without and with the skill
Checked
Without skill
With skill
Filters Crustdata results using current_employers.seniority_level for general executive searches
Missed
Passed
case-18 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md289 linessingle file
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, Managing Director, Controller, CFO, VP Finance
For tech companies: VP Engineering, CTO, Head of Product, Director of Engineering
For general B2B: VP, Director, C-Level, Head of
Step 2: Apollo Search (Primary — cheapest at $0.01/call)
Apollo is the cheapest search provider. Start here for all searches.