# Send Luma Events to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "luma",
    "name": "Luma Events",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/regalstreak/luma",
    "canonicalUrl": "https://clawhub.ai/regalstreak/luma",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/luma",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=luma",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md",
      "package.json",
      "scripts/fetch_events.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "luma",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T12:06:16.123Z",
      "expiresAt": "2026-05-07T12:06:16.123Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=luma",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=luma",
        "contentDisposition": "attachment; filename=\"luma-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "luma"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/luma"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/luma",
    "downloadUrl": "https://openagent3.xyz/downloads/luma",
    "agentUrl": "https://openagent3.xyz/skills/luma/agent",
    "manifestUrl": "https://openagent3.xyz/skills/luma/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/luma/agent.md"
  }
}
```
## Documentation

### Luma Events Skill

Fetch structured event data from Luma (lu.ma) without authentication. Luma is a popular platform for tech meetups, startup events, conferences, and community gatherings.

### How It Works

Luma is a Next.js SSR app. All event data is embedded in the HTML as JSON inside a <script id="__NEXT_DATA__"> tag. The Python script extracts this data - no API key needed.

### Quick Start

python3 scripts/fetch_events.py bengaluru mumbai --days 14

### Usage

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

### Parameters

city: City slug (bengaluru, mumbai, delhi, san-francisco, new-york, london, etc.)
--days N: Only show events within N days (default: 30)
--max N: Maximum events per city (default: 20)
--json: Output raw JSON instead of formatted text

### Popular City Slugs

India: bengaluru, mumbai, delhi, hyderabad, pune
USA: san-francisco, new-york, austin, seattle, boston
Global: london, singapore, dubai, toronto, sydney

### Human-readable (default)

============================================================
📍 BENGALURU — 5 events
============================================================

🎯 AI Engineers Day with OpenAI
📍 Whitefield, Bengaluru
📅 Jan 31, 2026 10:30 AM IST
👥 OpenAI, Google AI
👤 1411 going
🎫 Available (150 spots)
🔗 https://lu.ma/57tarlkp

🎯 Startup Fundraising Masterclass
📍 Koramangala, Bengaluru
📅 Feb 02, 2026 06:00 PM IST
🟢 Free (50 spots)
🔗 https://lu.ma/startup-funding

### JSON output (--json)

[
  {
    "city": "bengaluru",
    "count": 5,
    "events": [
      {
        "event": {
          "name": "AI Engineers Day",
          "start_at": "2026-01-31T05:00:00.000Z",
          "end_at": "2026-01-31T12:30:00.000Z",
          "url": "57tarlkp",
          "geo_address_info": {
            "city": "Bengaluru",
            "address": "Whitefield",
            "full_address": "..."
          }
        },
        "hosts": [{"name": "OpenAI", "linkedin_handle": "/company/openai"}],
        "guest_count": 1411,
        "ticket_info": {
          "is_free": false,
          "is_sold_out": false,
          "spots_remaining": 150
        }
      }
    ]
  }
]

### Event Persistence

Always save fetched events to ~/clawd/memory/luma-events.json for future reference.

This allows you to:

Answer questions about events without repeated fetches
Track which events the user is interested in
Compare events across cities
Build context about upcoming plans

When to save:

After fetching events for any city
Merge with existing data (by event URL)
Keep events for next 60 days only
Add lastFetched timestamp

Format:

[
  {
    "city": "bengaluru",
    "name": "AI Engineers Day",
    "start": "2026-01-31T05:00:00.000Z",
    "end": "2026-01-31T12:30:00.000Z",
    "url": "https://lu.ma/57tarlkp",
    "venue": "Whitefield, Bengaluru",
    "hosts": ["OpenAI", "Google AI"],
    "guestCount": 1411,
    "ticketStatus": "available",
    "spotsRemaining": 150,
    "isFree": false,
    "lastFetched": "2026-01-29T12:54:00Z"
  }
]

### 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

### 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

No authentication: Luma event pages are public
City slugs: Use lowercase, hyphenated slugs (san-francisco, not San Francisco)
Rate limiting: Respectful fetching only (don't hammer the servers)
Data freshness: Events are live data from the HTML, always current
Timezone: Times are in the event's local timezone (extracted from start_at)

### Troubleshooting

"Could not find NEXT_DATA" → Luma changed their HTML structure, script needs updating

"Unexpected data structure" → The JSON path changed, check the latest HTML

No events returned → City slug might be wrong, or no upcoming events for that city

Timeout errors → Network issue, retry or check internet connection

### Dependencies

Python 3.6+ (stdlib only - no external packages needed)
urllib, json, re, argparse, datetime (all built-in)

### 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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: regalstreak
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-30T12:06:16.123Z
- Expires at: 2026-05-07T12:06:16.123Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/luma)
- [Send to Agent page](https://openagent3.xyz/skills/luma/agent)
- [JSON manifest](https://openagent3.xyz/skills/luma/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/luma/agent.md)
- [Download page](https://openagent3.xyz/downloads/luma)