Agent skill

luma-event-attendees

Find speakers, hosts, and guest profiles at conferences and events on Luma. Two modes - free direct scrape for hosts, or Apify-powered search for full guest profiles with LinkedIn/Twitter/bio.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 7 KB
Bundled scripts: yes
Version: 1.0.0
Path: skills/lead-generation/capabilities/luma-event-attendees/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

# luma-event-attendees Find and extract speakers, hosts, and registered guest profiles from Luma events for outreach prospecting. ## Two Modes ### 1. Direct Scrape (free) Scrapes Luma event pages directly. Gets event metadata + hosts. Guest profiles only if publicly embedded in the page. ```bash python3 scripts/scrape_event.py https://lu.ma/abc123 ``` ### 2. Apify Search (paid, recommended for guest lists) Uses the `lexis-solutions/lu-ma-scraper` Apify actor to search Luma and return full event data including **featured guest profiles** (name, bio, LinkedIn, Twitter, Instagram, website). ```bash python3 scripts/scrape_event.py --search "AI San Francisco" ``` **Cost:** $29/month flat subscription on Apify. **Rent:** https://console.apify.com/actors/r5gMxLV2rOF3J1fxu ## Setup ### 1. Apify API Token (required for --search mode) 1. Create account: https://apify.com/ 2. Get API token: https://console.apify.com/account/integrations 3. Rent the Luma scraper: https://console.apify.com/actors/r5gMxLV2rOF3J1fxu ($29/mo, 24h free trial) 4. Set token: ```bash export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE" # Or create .env file in skill directory ``` ### 2. Install Dependencies ```bash pip3

What's inside
Steps it walks through
  1. Two Modes
  2. 1. Direct Scrape (free)
  3. 2. Apify Search (paid, recommended for guest lists)
  4. Setup
  5. 1. Apify API Token (required for --search mode)
  6. 2. Install Dependencies
  7. Usage
  8. Direct Scrape (free, hosts only)
  9. Apify Search (guest profiles)
  10. Caching
  11. Options Reference
  12. Output Format
  13. CSV Columns
  14. What You Get Per Person
Ships with 4 files
  • README.md
  • scripts/apify_client.py
  • scripts/scrape_event.py
  • skill.meta.json
Commands it runs
python3 scripts/scrape_event.py https://lu.ma/abc123
python3 scripts/scrape_event.py --search "AI San Francisco"
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
Or create .env file in skill directory
pip3 install requests
Single event
python3 scripts/scrape_event.py https://lu.ma/pwciozw0
Multiple events
python3 scripts/scrape_event.py https://lu.ma/abc https://lu.ma/def
Export to CSV
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About this skill
What does the luma-event-attendees skill do?

Find speakers, hosts, and guest profiles at conferences and events on Luma. Two modes - free direct scrape for hosts, or Apify-powered search for full guest profiles with LinkedIn/Twitter/bio.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees --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