Apify Ads Intelligence
apify/awesome-skills
Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X…
Find speakers, hosts, and guest profiles at conferences and events on Luma.
Install Luma Event Attendees
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendees --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .claude/skills/luma-event-attendees && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .claude/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendeesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendees --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .agents/skills/luma-event-attendees && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .agents/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendees --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .cursor/skills/luma-event-attendees && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .cursor/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/lead-generation/capabilities/luma-event-attendees--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendees --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .gemini/skills/luma-event-attendees && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .gemini/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendeesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .github/skills/luma-event-attendees && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .github/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills luma-event-attendees --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lead-generation/capabilities/luma-event-attendees .opencode/skills/luma-event-attendees && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "luma-event-attendees" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/luma-event-attendees into .opencode/skills/luma-event-attendees/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "luma-event-attendees", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
luma-event-attendees- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 541 words
- Files
- 5 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Find speakers, hosts, and guest profiles at conferences and events on Luma.
- Works in 9 steps: Direct Scrape (free) → Apify Search (paid, recommended for… → Apify API Token (required for --search… → …
- Tasks that involve Web scraping
- SKILL.md covers Two Modes, Setup, Usage and Output Format, plus 5 more sections
- Runs Python scripts from its folder; calls python3 and pip3; reaches lu.ma; needs APIFY_API_TOKEN
What it does
Luma Event Attendees is an agent skill from gooseworks-ai/goose-skills. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `README.md`, `scripts/apify_client.py` and `scripts/scrape_event.py`).
It sits in Data & Analytics, covering Web scraping. It works with Apify, X (Twitter), LinkedIn and Instagram. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Web scraping
Example prompts
- “/luma-event-attendees”
Requirements
- Python 3
- A credential in APIFY_API_TOKEN
Workflow steps
9 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
lu.ma
Also links to:
console.apify.comapify.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Luma Event Attendees loads about 1.7k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 541 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:44
# Or create .env file in skill directory
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 541 words, ~1,678 tokens.
Download SKILL.mdSave it as
.claude/skills/luma-event-attendees/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- luma-event-attendees
- description
- 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.
- version
- 1.0.0
- tags
- lead-generation
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.
python3 scripts/scrape_event.py https://lu.ma/abc1232. 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"Cost: $29/month flat subscription on Apify. Rent: https://console.apify.com/actors/r5gMxLV2rOF3J1fxu
Setup
1. Apify API Token (required for --search mode)
- Create account: https://apify.com/
- Get API token: https://console.apify.com/account/integrations
- Rent the Luma scraper: https://console.apify.com/actors/r5gMxLV2rOF3J1fxu ($29/mo, 24h free trial)
- Set token:
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
# Or create .env file in skill directory2. Install Dependencies
pip3 install requestsUsage
Direct Scrape (free, hosts only)
# 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
python3 scripts/scrape_event.py https://lu.ma/abc --output hosts.csvApify Search (guest profiles)
# Search for AI events in SF
python3 scripts/scrape_event.py --search "AI San Francisco"
# Just list events (don't extract people)
python3 scripts/scrape_event.py --search "SaaS NYC" --events-only
# Export all guests to CSV
python3 scripts/scrape_event.py --search "AI San Francisco" --output guests.csv
# Export as JSON
python3 scripts/scrape_event.py --search "AI SF" --output guests.json --jsonCaching
Results cached for 24 hours by default:
# Force fresh fetch
python3 scripts/scrape_event.py --search "AI SF" --no-cache
# Custom cache duration
python3 scripts/scrape_event.py --search "AI SF" --cache-hours 12Options Reference
Positional:
urls Event URLs to scrape directly (free)
Search:
--search, -s Search Luma via Apify (e.g., 'AI San Francisco')
--events-only Only list events, don't extract people
Output:
--output, -o Output file path (.csv or .json)
--json Output JSON format (default: CSV)
Cache:
--no-cache Skip cache, always fetch fresh
--cache-hours Cache max age in hours (default: 24)Output Format
CSV Columns
| name | event_role | bio | title | company | linkedin_url | twitter_url | instagram_url | website_url | username | event_name | event_date | event_url |
|---|
What You Get Per Person
- name - Full name
- event_role - Host, Guest, or Speaker
- bio - Luma profile bio
- linkedin_url - LinkedIn profile URL
- twitter_url - Twitter/X profile URL
- instagram_url - Instagram handle
- website_url - Personal website
- username - Luma username
- event_name - Which event they're associated with
- event_date - Event date (ISO format)
- event_url - Link to the event
AI Agent Workflow
This skill is designed to be called by an AI agent as part of a prospecting workflow:
Step 1: Find Events
"Search Luma for AI and SaaS events in San Francisco"
python3 scripts/scrape_event.py --search "AI San Francisco" --events-onlyStep 2: Extract Guest Profiles
"Get all guest profiles from those events"
python3 scripts/scrape_event.py --search "AI San Francisco" --output guests.csvStep 3: Qualify Against ICP
Ask the agent to filter the CSV:
"From these guests, find founders/VPs at B2B SaaS companies, 20-200 employees"
Step 4: Enrich
For qualified leads:
- Look up LinkedIn profiles for role/company details
- Research their companies
- Check for overlapping signals (hiring? recently funded?)
Step 5: Generate Outreach
"Draft connection requests for qualified guests. I'll be at [event]. We sell [product] at [price]. Keep it casual."
Show full SKILL.md (227 more words)Show less
Data Access Realities
| Data | Direct Scrape (free) | Apify Search (paid) |
|---|---|---|
| Event metadata | Yes | Yes |
| Hosts/organizers | Yes | Yes |
| Featured guests (public RSVPs) | Sometimes | Yes |
| Full attendee list | No (requires auth) | Partial (public profiles only) |
| Guest LinkedIn/Twitter | Yes (if in page) | Yes |
| Guest bio | Yes (if in page) | Yes |
| Guest email | No | No |
Note: Luma events have a show_guest_list setting. When disabled, guest profiles aren't publicly accessible. The Apify scraper can still get featured_guests for events that have them.
Example Prompts
Quick search:
"Find AI events in SF this month and get me guest profiles"
Targeted:
"Search Luma for 'SaaS growth' events. Export all guest profiles to CSV. Then qualify against our ICP: VP+ at B2B SaaS, 50-500 employees."
Full workflow:
"Search Luma for AI and developer events in SF. Get all guest profiles. For each person with a LinkedIn, check if they match our ICP (founders/VPs at B2B SaaS, 20-200 employees, Series A-C). Draft pre-event connection requests for the ones I'll see at [event name]. We sell GTM engineering at $10K/month. Output qualified leads to CSV."
Troubleshooting
"APIFY_API_TOKEN not set"
export APIFY_API_TOKEN="your_token_here""Apify actor not rented"
Rent the Luma scraper at: https://console.apify.com/actors/r5gMxLV2rOF3J1fxu
No guests found for an event
- The event may have
show_guest_listdisabled - Try the --search mode which can access featured_guests
- Some events simply don't have public guest profiles
"ModuleNotFoundError: requests"
pip3 install requestsMetadata
metadata:
clawdbot:
emoji: "🎤"
requires:
env: ["APIFY_API_TOKEN"]
bins: ["python3"]
packages: ["requests"]Built by Goose - Powered by Apify (lexis-solutions/lu-ma-scraper)
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts) in skills/lead-generation/capabilities/luma-event-attendees of gooseworks-ai/goose-skills.
- SKILL.md
- README.md
- scripts/apify_client.py
- scripts/scrape_event.py
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Luma Event Attendees next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Luma Event Attendees this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~1.7k | Automated safety check: Notes | MIT | |
| Apify Ads Intelligenceapify/awesome-skills | 266 | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| Apify Google Maps Leadsapify/awesome-skills | 266 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Deepapidavidondrej/skills | 4.1k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Apify Multi-Platform Scraperapify/agent-skills | 2.4k | 2 repos | ~1.4k | Automated safety check: Notes | None | |
| Osintsmixs/osint-skill | 141 | — | ~5.5k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Luma Event Attendees
What does Luma Event Attendees do?
Find speakers, hosts, and guest profiles at conferences and events on Luma. Luma Event Attendees is an agent skill from gooseworks-ai/goose-skills. Find speakers, hosts, and guest profiles at conferences and events on Luma.
When should I use Luma Event Attendees?
Luma Event Attendees fits situations like: tasks that involve Web scraping.
How do I install Luma Event Attendees in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/luma-event-attendees in gooseworks-ai/goose-skills) into .claude/skills/luma-event-attendees in your project. Claude Code loads it when a task matches its description.
How do I install Luma Event Attendees in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/luma-event-attendees in gooseworks-ai/goose-skills) into .agents/skills/luma-event-attendees in your project. Codex loads it when a task matches its description.
Can I use Luma Event Attendees in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill luma-event-attendees -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/luma-event-attendees, .gemini/skills/luma-event-attendees, .github/skills/luma-event-attendees and .opencode/skills/luma-event-attendees in your project.
What does Luma Event Attendees need to run?
Going by SKILL.md and its folder, Luma Event Attendees needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
Does Luma Event Attendees access the network?
SKILL.md names 3 domains. In commands or code: lu.ma; the agent is likely to contact it when it follows the instructions. As links in the text: console.apify.com and apify.com. This is read from the text; nothing was executed.
Is Luma Event Attendees safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Luma Event Attendees use?
Luma Event Attendees is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Luma Event Attendees use?
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Luma Event Attendees?
Skills that share tags, products or a category with Luma Event Attendees: Apify Ads Intelligence (apify/awesome-skills, 266 stars), Apify Google Maps Leads (apify/awesome-skills, 266 stars), Deepapi (davidondrej/skills, 4.1k stars) and Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Luma Event Attendees?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.