researchby gooseworks-ai
Customer Discovery
gooseworks-ai/customer-discovery
Discover all customers of a given company by scanning websites, case studies, review sites, press, social media, job postings, and more.
What it changes
Passed 14 of 20 test cases with the skill, and 4 of 20 without it.
Without skill22%
With skill70%
Checks it passed that the model alone missed
- Names the exported spreadsheet customers.csv.
- Classifies BuiltWith tech detections as Low confidence.
- Executes scrape_website_logos.py with --url and --output json flags.
and 11 more in the full report
11 fixed5 passed either way7 still failing0 broke
- Pass-rate lift
- +48 pp
- Tokens
- +65%
- Agent turns
- 0%
- Response time
- -40%
Model gemini-3.6-flashMeasured 8/16/2026v116 of 23 cases passed with skill · 20 comparable
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
PromptWhat text section must be included at the bottom of the customer discovery report for Twilio to explain how confidence levels were determined?
What was checked, without and with the skill| Checked | Without skill | With skill |
|---|
| Includes a Methodology section explaining public data source scanning and confidence rating criteria. | Missed | Passed |
|---|
What's inside
The instructions your model reads when the skill loads.
SKILL.md256 lines4 filesincludes scripts
Customer Discovery
Find all customers of a company by scanning multiple public data sources. Produces a deduplicated report with confidence scoring.
Quick Start
Find all customers of Datadog
Who are Notion's customers? Use deep mode.
Inputs
Procedure
Step 1: Gather Inputs
Ask the user for:
- Company name (required)
- Company website URL (optional — if not provided, WebSearch for it)
- Depth tier — present these options, default to Standard:
- Quick (~2-3 min): Website logos, case studies, G2 reviews, press search
- Standard (~5-8 min): Quick + blog posts, Wayback Machine, LinkedIn, Twitter, Reddit, HN, job postings, YouTube
- Deep (~10-15 min): Standard + SEC filings, podcasts, GitHub, integration directories, BuiltWith, Crunchbase
Step 2: Create Output Directory
mkdir -p customer-discovery-[company-slug]
Track record
Benchmark
14 / 20
test cases passed, vs 4 / 20 without
Adoption
- Users
- 0
- Times used
- 0
Safety and source details
SkillSafety
✓ 3 of 3 passed✓Code scan15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026
View 15 scanner checks
live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing
✓IntentSafe
LLM judge · does the skill do what it claims
✓ContentClean
LLM judge · policy & harmful-content review
Source
Importedgooseworks-ai / goose-skills
skills/research/capabilities/customer-discovery/SKILL.md
View on GitHub ↗License MITImported 8/3/2026Version v1Bundled 3 files · scripts