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luma-enhanced亮度增强

Agent Skill

luma-enhanced 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

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OpenClaw

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

MIT-0

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-enhanced(亮度增强)
来源仓库:https://github.com/firefrog-pepe/luma-enhanced
安装命令:
openclaw skills install luma-enhanced
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install luma-enhanced

简介

luma-enhanced 从 lu.ma 获取城市技术活动信息,覆盖会议与聚会列表。

  • 适合寻找线下机会、行业交流或人脉拓展等社交场景。luma-enhanced 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 返回活动时间、地点和主题摘要,支持按兴趣标签筛选。
  • 使用前需指定目标城市,部分小众活动可能未公开收录。
  • 注意活动真实性需人工核实,平台不保证信息准确性。

SKILL.md

name
Luma Events Enhanced
description
Fetch upcoming events from Luma (lu.ma) for any city. Use when the user asks about tech events, startup meetups, networking events, conferences, or things happening in cities around the world. Returns events with details including venue, date, hosts, ticket status, and links.
version
1.1.1
author
Clawd (forked and enhanced by Pepe)
metadata

Luma Events Enhanced Skill

This skill allows the agent to fetch upcoming events from Luma (lu.ma) without authentication. It supports multiple cities, date filtering, and JSON output. Events are automatically persisted to ~/.openclaw/workspace/memory/luma-events.json and old events are pruned (>24h past start) to keep storage manageable.

Capabilities

  • fetch_events(city, days=30, max_events=20, json=False) – Fetch events for a city (or list of cities). Returns human-readable text or JSON.
  • get_persisted_events() – Read stored events from memory file (useful for follow-up questions).
  • prune_old_events(hours=24) – Remove events that ended more than N hours ago.

Usage

The agent typically runs the CLI:

python3 scripts/fetch_events.py <city> [cities...] [--days N] [--max N] [--json]

Parameters

  • city: City slug (lowercase, hyphenated), e.g., bengaluru, mumbai, san-francisco, new-york, lisbon, porto.
  • --days N: Only include events occurring within the next N days (default: 30).
  • --max N: Maximum number of events to return per city (default: 20).
  • --json: Output raw JSON instead of formatted text.

Output

Human-readable output prints each event with:

  • 🎯 Event name
  • 📍 Venue and city
  • 📅 Date and time (local to event)
  • 👥 Hosts (up to 2)
  • 👤 Guest count
  • 🎫 Ticket status (Free/Paid/Sold Out/Available with spots)
  • 🔗 Direct lu.ma link

JSON output includes an array of event objects with fields:

  • city, name, start, end, url, venue, hosts[], guestCount, ticketStatus (free/paid/sold_out), spotsRemaining, isFree, lastFetched

Persistence

After fetching, events are merged into ~/.openclaw/workspace/memory/luma-events.json by event URL. On each run, the file is pruned to remove events older than 24 hours past their start time. This allows the agent to maintain context without re-fetching.

Examples

Find tech events this week

python3 scripts/fetch_events.py bengaluru --days 7

Check multiple cities for AI events

python3 scripts/fetch_events.py bengaluru mumbai san-francisco --days 14 --json | jq '.[] | .events[] | select(.event.name | contains("AI"))'

Get next 5 events in a city

python3 scripts/fetch_events.py new-york --max 5

Check if events are selling out

python3 ~/clawd/skills/luma/scripts/fetch_events.py mumbai --json | jq '.[] | .events[] | select(.ticket_info.is_near_capacity)'

Example Queries

User: "What tech events are happening in Bangalore this weekend?" → Fetch Bengaluru events for next 7 days, save to memory

User: "Any AI meetups in Mumbai next month?" → Fetch Mumbai events for next 30 days, filter for AI-related, save to memory

User: "Compare startup events in SF vs NYC" → Fetch both cities, compare, save both to memory

Notes

  • Luma public pages embed event data in __NEXT_DATA__ script tag; no API key required.
  • If a city page does not expose an events array (e.g., Porto), the skill returns an empty result.
  • Rate limiting: Be respectful; do not hammer Luma servers.
  • Timezones: Event times are in the event's local timezone as provided by Luma.

Troubleshooting

  • No upcoming events found → City may not be supported by current Luma page format. This is expected.
  • Could not find __NEXT_DATA__ → Luma changed HTML structure or blocked the request; try later.
  • Timeouts → Network issue; retry or check connectivity.

Dependencies

  • Python 3.6+ (stdlib only: urllib, json, re, argparse, datetime, os, sys)

Changelog

v1.1.1 (2026-03-08)

  • Republished with explicit fork lineage to regalstreak/luma on ClawHub.
  • No code changes; metadata-only patch release.

v1.1.0 (2026-02-20)

  • Changed persistence path to ~/.openclaw/workspace/memory/luma-events.json.
  • Automatic pruning of events older than 24 hours past their start.
  • Friendly output for unsupported cities (e.g., Porto).
  • Removed obsolete README.md; consolidated docs in SKILL.md.

v1.0.0 (2026-01-29)

  • Initial release
  • Support for multiple cities
  • Human-readable and JSON output
  • Date filtering (--days)
  • Event limit per city (--max)
  • Event persistence to memory file

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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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

补充不同宿主或平台的使用分布数据

能力 5

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

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按下载量换算2,250

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安装前确认

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