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Evaluate YC batch companies for investment — scrapes the YC directory, researches each company and its founders (work history, LinkedIn, website), assesses founder-company fit, and exports to Google Sheets with priority rankings.
Passed 13 of 18 test cases with the skill, and 7 of 18 without it.
and 11 more in the full report
9 fixed7 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When initializing the Google Sheet for a YC batch evaluation, what exact headers should be assigned to Columns A, B, C, D, and N?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns Company to Column A and Description to Column B | Missed | Passed |
| Assigns Sector to Column C and Location to Column D | Missed | Passed |
| Assigns Priority Rank to Column N | Missed | Passed |
The instructions your model reads when the skill loads.
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Scrape a YC batch, research every company and founder, assess founder-company fit, and export a live-updating Google Sheet with priority rankings. Designed for investors evaluating YC companies.
All inputs are optional. If the user said a batch, use it. If they didn't specify sectors or thesis, process ALL companies. Always create a new Google Sheet — never ask for an existing spreadsheet ID. Start scraping immediately — do not ask "which batch?", "any sector filters?", or "should I create a sheet?". This is designed for live demos where speed and visual impact matter.
"Spring 2026" is a real YC batch (also called "X26"). It exists and has ~22 companies.
The YC companies page is JavaScript-rendered (Algolia-powered). Scrapegraph handles the JS rendering.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
"website_url": "https://www.ycombinator.com/companies?batch={batch_url_encoded}",
"user_prompt": "Extract every company listed: company name, one-line description, sector/tags, location, and URL slug for each company page (e.g. /companies/orthogonal). Return as a structured list."
test cases passed, vs 7 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.