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luma-event-attendees亮度活动参加者

Agent Skill

luma-event-attendees 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

245

周安装

10

GitHub Stars

607

下载量

78
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:luma-event-attendees(亮度活动参加者)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/luma-event-attendees
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill luma-event-attendees
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill luma-event-attendees

简介

luma-event-attendees 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。
  • 通过 npx skills add 命令安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

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.

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).

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:
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
# Or create .env file in skill directory

2. Install Dependencies

pip3 install requests

Usage

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.csv

Apify 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 --json

Caching

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 12

Options 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

nameevent_rolebiotitlecompanylinkedin_urltwitter_urlinstagram_urlwebsite_urlusernameevent_nameevent_dateevent_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-only

Step 2: Extract Guest Profiles

"Get all guest profiles from those events"
python3 scripts/scrape_event.py --search "AI San Francisco" --output guests.csv

Step 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."

Data Access Realities

DataDirect Scrape (free)Apify Search (paid)
Event metadataYesYes
Hosts/organizersYesYes
Featured guests (public RSVPs)SometimesYes
Full attendee listNo (requires auth)Partial (public profiles only)
Guest LinkedIn/TwitterYes (if in page)Yes
Guest bioYes (if in page)Yes
Guest emailNoNo

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_list disabled
  • Try the --search mode which can access featured_guests
  • Some events simply don't have public guest profiles

"ModuleNotFoundError: requests"

pip3 install requests

Metadata

metadata:
  clawdbot:
    emoji: "🎤"
    requires:
      env: ["APIFY_API_TOKEN"]
      bins: ["python3"]
      packages: ["requests"]

Built by Goose - Powered by Apify (lexis-solutions/lu-ma-scraper)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算29

Claude

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Cursor

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按下载量换算14

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可疑

Snyk

可疑

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敏感数据

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安装前确认

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来源信息

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