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Agent Skill · 研究检索

luma-event-attendees(亮度活动参加者)

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。

luma-event-attendees 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,674 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 607下载 78核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/luma-event-attendees

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/athina-ai/goose-skills --skill luma-event-atte…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

luma-event-attendees 怎么安装?

在终端执行 npx skills add https://github.com/athina-ai/goose-skills --skill luma-event-attendees。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

luma-event-attendees 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

luma-event-attendees 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

luma-event-attendees 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

luma-event-attendees 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 78 次,GitHub 607 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

luma-event-attendees 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
luma-event-attendees

亮度活动参加者 · 本页

245607接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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)

平台分布

Codex

37.54%
按下载量换算29

Claude

30.35%
按下载量换算24

Cursor

18.41%
按下载量换算14

Gemini CLI

8.66%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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