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.
SkillScore82Maintained
Automatic
◆Sales & GTM pack
Last verified 8/16/2026
What it changes
Passed 16 of 19 test cases with the skill, and 4 of 19 without it.
Without skill23%
With skill82%
Checks it passed that the model alone missed
Uses --output organizers.csv
Includes the --events-only flag
Specifies cache TTL using --cache-hours 12
and 17 more in the full report
14 fixed4 passed either way3 still failing1 broke
Pass-rate lift
+59 pp
Tokens
+51%
Agent turns
0%
Response time
-68%
Model gemini-3.6-flashMeasured 8/16/2026v118 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 14
Prompt
When searching Luma for Fintech meetups in London, I'd like to restrict local cache validity to 12 hours instead of the default full day. What flag should be passed?
What was checked, without and with the skill
Checked
Without skill
With skill
Runs python3 scripts/scrape_event.py with --search
Missed
Passed
Specifies cache TTL using --cache-hours 12
Missed
Passed
case-06 · 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.md229 lines3 filesincludes scripts
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.
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).
python3 scripts/scrape_event.py --search "AI San Francisco"