{
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  "item": {
    "slug": "luma",
    "name": "Luma Events",
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    "type": "skill",
    "category": "通讯协作",
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    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=luma",
    "sourcePlatform": "tencent",
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    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
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      "README.md",
      "SKILL.md",
      "package.json",
      "scripts/fetch_events.py"
    ],
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      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
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      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
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        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "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."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/luma",
    "agentPageUrl": "https://openagent3.xyz/skills/luma/agent",
    "manifestUrl": "https://openagent3.xyz/skills/luma/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/luma/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Luma Events Skill",
        "body": "Fetch structured event data from Luma (lu.ma) without authentication. Luma is a popular platform for tech meetups, startup events, conferences, and community gatherings."
      },
      {
        "title": "How It Works",
        "body": "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."
      },
      {
        "title": "Quick Start",
        "body": "python3 scripts/fetch_events.py bengaluru mumbai --days 14"
      },
      {
        "title": "Usage",
        "body": "python3 scripts/fetch_events.py <city> [cities...] [--days N] [--max N] [--json]"
      },
      {
        "title": "Parameters",
        "body": "city: City slug (bengaluru, mumbai, delhi, san-francisco, new-york, london, etc.)\n--days N: Only show events within N days (default: 30)\n--max N: Maximum events per city (default: 20)\n--json: Output raw JSON instead of formatted text"
      },
      {
        "title": "Popular City Slugs",
        "body": "India: bengaluru, mumbai, delhi, hyderabad, pune\nUSA: san-francisco, new-york, austin, seattle, boston\nGlobal: london, singapore, dubai, toronto, sydney"
      },
      {
        "title": "Human-readable (default)",
        "body": "============================================================\n📍 BENGALURU — 5 events\n============================================================\n\n🎯 AI Engineers Day with OpenAI\n📍 Whitefield, Bengaluru\n📅 Jan 31, 2026 10:30 AM IST\n👥 OpenAI, Google AI\n👤 1411 going\n🎫 Available (150 spots)\n🔗 https://lu.ma/57tarlkp\n\n🎯 Startup Fundraising Masterclass\n📍 Koramangala, Bengaluru\n📅 Feb 02, 2026 06:00 PM IST\n🟢 Free (50 spots)\n🔗 https://lu.ma/startup-funding"
      },
      {
        "title": "JSON output (--json)",
        "body": "[\n  {\n    \"city\": \"bengaluru\",\n    \"count\": 5,\n    \"events\": [\n      {\n        \"event\": {\n          \"name\": \"AI Engineers Day\",\n          \"start_at\": \"2026-01-31T05:00:00.000Z\",\n          \"end_at\": \"2026-01-31T12:30:00.000Z\",\n          \"url\": \"57tarlkp\",\n          \"geo_address_info\": {\n            \"city\": \"Bengaluru\",\n            \"address\": \"Whitefield\",\n            \"full_address\": \"...\"\n          }\n        },\n        \"hosts\": [{\"name\": \"OpenAI\", \"linkedin_handle\": \"/company/openai\"}],\n        \"guest_count\": 1411,\n        \"ticket_info\": {\n          \"is_free\": false,\n          \"is_sold_out\": false,\n          \"spots_remaining\": 150\n        }\n      }\n    ]\n  }\n]"
      },
      {
        "title": "Event Persistence",
        "body": "Always save fetched events to ~/clawd/memory/luma-events.json for future reference.\n\nThis allows you to:\n\nAnswer questions about events without repeated fetches\nTrack which events the user is interested in\nCompare events across cities\nBuild context about upcoming plans\n\nWhen to save:\n\nAfter fetching events for any city\nMerge with existing data (by event URL)\nKeep events for next 60 days only\nAdd lastFetched timestamp\n\nFormat:\n\n[\n  {\n    \"city\": \"bengaluru\",\n    \"name\": \"AI Engineers Day\",\n    \"start\": \"2026-01-31T05:00:00.000Z\",\n    \"end\": \"2026-01-31T12:30:00.000Z\",\n    \"url\": \"https://lu.ma/57tarlkp\",\n    \"venue\": \"Whitefield, Bengaluru\",\n    \"hosts\": [\"OpenAI\", \"Google AI\"],\n    \"guestCount\": 1411,\n    \"ticketStatus\": \"available\",\n    \"spotsRemaining\": 150,\n    \"isFree\": false,\n    \"lastFetched\": \"2026-01-29T12:54:00Z\"\n  }\n]"
      },
      {
        "title": "Find tech events this week",
        "body": "python3 scripts/fetch_events.py bengaluru --days 7"
      },
      {
        "title": "Check multiple cities for AI events",
        "body": "python3 scripts/fetch_events.py bengaluru mumbai san-francisco --days 14 --json | jq '.[] | .events[] | select(.event.name | contains(\"AI\"))'"
      },
      {
        "title": "Get next 5 events in a city",
        "body": "python3 scripts/fetch_events.py new-york --max 5"
      },
      {
        "title": "Example Queries",
        "body": "User: \"What tech events are happening in Bangalore this weekend?\"\n→ Fetch Bengaluru events for next 7 days, save to memory\n\nUser: \"Any AI meetups in Mumbai next month?\"\n→ Fetch Mumbai events for next 30 days, filter for AI-related, save to memory\n\nUser: \"Compare startup events in SF vs NYC\"\n→ Fetch both cities, compare, save both to memory"
      },
      {
        "title": "Notes",
        "body": "No authentication: Luma event pages are public\nCity slugs: Use lowercase, hyphenated slugs (san-francisco, not San Francisco)\nRate limiting: Respectful fetching only (don't hammer the servers)\nData freshness: Events are live data from the HTML, always current\nTimezone: Times are in the event's local timezone (extracted from start_at)"
      },
      {
        "title": "Troubleshooting",
        "body": "\"Could not find NEXT_DATA\" → Luma changed their HTML structure, script needs updating\n\n\"Unexpected data structure\" → The JSON path changed, check the latest HTML\n\nNo events returned → City slug might be wrong, or no upcoming events for that city\n\nTimeout errors → Network issue, retry or check internet connection"
      },
      {
        "title": "Dependencies",
        "body": "Python 3.6+ (stdlib only - no external packages needed)\nurllib, json, re, argparse, datetime (all built-in)"
      },
      {
        "title": "v1.0.0 (2026-01-29)",
        "body": "Initial release\nSupport for multiple cities\nHuman-readable and JSON output\nDate filtering (--days)\nEvent limit per city (--max)\nEvent persistence to memory file"
      }
    ],
    "body": "Luma Events Skill\n\nFetch structured event data from Luma (lu.ma) without authentication. Luma is a popular platform for tech meetups, startup events, conferences, and community gatherings.\n\nHow It Works\n\nLuma 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.\n\nQuick Start\npython3 scripts/fetch_events.py bengaluru mumbai --days 14\n\nUsage\npython3 scripts/fetch_events.py <city> [cities...] [--days N] [--max N] [--json]\n\nParameters\ncity: City slug (bengaluru, mumbai, delhi, san-francisco, new-york, london, etc.)\n--days N: Only show events within N days (default: 30)\n--max N: Maximum events per city (default: 20)\n--json: Output raw JSON instead of formatted text\nPopular City Slugs\nIndia: bengaluru, mumbai, delhi, hyderabad, pune\nUSA: san-francisco, new-york, austin, seattle, boston\nGlobal: london, singapore, dubai, toronto, sydney\nOutput Format\nHuman-readable (default)\n============================================================\n📍 BENGALURU — 5 events\n============================================================\n\n🎯 AI Engineers Day with OpenAI\n📍 Whitefield, Bengaluru\n📅 Jan 31, 2026 10:30 AM IST\n👥 OpenAI, Google AI\n👤 1411 going\n🎫 Available (150 spots)\n🔗 https://lu.ma/57tarlkp\n\n🎯 Startup Fundraising Masterclass\n📍 Koramangala, Bengaluru\n📅 Feb 02, 2026 06:00 PM IST\n🟢 Free (50 spots)\n🔗 https://lu.ma/startup-funding\n\nJSON output (--json)\n[\n  {\n    \"city\": \"bengaluru\",\n    \"count\": 5,\n    \"events\": [\n      {\n        \"event\": {\n          \"name\": \"AI Engineers Day\",\n          \"start_at\": \"2026-01-31T05:00:00.000Z\",\n          \"end_at\": \"2026-01-31T12:30:00.000Z\",\n          \"url\": \"57tarlkp\",\n          \"geo_address_info\": {\n            \"city\": \"Bengaluru\",\n            \"address\": \"Whitefield\",\n            \"full_address\": \"...\"\n          }\n        },\n        \"hosts\": [{\"name\": \"OpenAI\", \"linkedin_handle\": \"/company/openai\"}],\n        \"guest_count\": 1411,\n        \"ticket_info\": {\n          \"is_free\": false,\n          \"is_sold_out\": false,\n          \"spots_remaining\": 150\n        }\n      }\n    ]\n  }\n]\n\nEvent Persistence\n\nAlways save fetched events to ~/clawd/memory/luma-events.json for future reference.\n\nThis allows you to:\n\nAnswer questions about events without repeated fetches\nTrack which events the user is interested in\nCompare events across cities\nBuild context about upcoming plans\n\nWhen to save:\n\nAfter fetching events for any city\nMerge with existing data (by event URL)\nKeep events for next 60 days only\nAdd lastFetched timestamp\n\nFormat:\n\n[\n  {\n    \"city\": \"bengaluru\",\n    \"name\": \"AI Engineers Day\",\n    \"start\": \"2026-01-31T05:00:00.000Z\",\n    \"end\": \"2026-01-31T12:30:00.000Z\",\n    \"url\": \"https://lu.ma/57tarlkp\",\n    \"venue\": \"Whitefield, Bengaluru\",\n    \"hosts\": [\"OpenAI\", \"Google AI\"],\n    \"guestCount\": 1411,\n    \"ticketStatus\": \"available\",\n    \"spotsRemaining\": 150,\n    \"isFree\": false,\n    \"lastFetched\": \"2026-01-29T12:54:00Z\"\n  }\n]\n\nCommon Use Cases\nFind tech events this week\npython3 scripts/fetch_events.py bengaluru --days 7\n\nCheck multiple cities for AI events\npython3 scripts/fetch_events.py bengaluru mumbai san-francisco --days 14 --json | jq '.[] | .events[] | select(.event.name | contains(\"AI\"))'\n\nGet next 5 events in a city\npython3 scripts/fetch_events.py new-york --max 5\n\nExample Queries\n\nUser: \"What tech events are happening in Bangalore this weekend?\" → Fetch Bengaluru events for next 7 days, save to memory\n\nUser: \"Any AI meetups in Mumbai next month?\" → Fetch Mumbai events for next 30 days, filter for AI-related, save to memory\n\nUser: \"Compare startup events in SF vs NYC\" → Fetch both cities, compare, save both to memory\n\nNotes\nNo authentication: Luma event pages are public\nCity slugs: Use lowercase, hyphenated slugs (san-francisco, not San Francisco)\nRate limiting: Respectful fetching only (don't hammer the servers)\nData freshness: Events are live data from the HTML, always current\nTimezone: Times are in the event's local timezone (extracted from start_at)\nTroubleshooting\n\n\"Could not find NEXT_DATA\" → Luma changed their HTML structure, script needs updating\n\n\"Unexpected data structure\" → The JSON path changed, check the latest HTML\n\nNo events returned → City slug might be wrong, or no upcoming events for that city\n\nTimeout errors → Network issue, retry or check internet connection\n\nDependencies\nPython 3.6+ (stdlib only - no external packages needed)\nurllib, json, re, argparse, datetime (all built-in)\nChangelog\nv1.0.0 (2026-01-29)\nInitial release\nSupport for multiple cities\nHuman-readable and JSON output\nDate filtering (--days)\nEvent limit per city (--max)\nEvent persistence to memory file"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/regalstreak/luma",
    "publisherUrl": "https://clawhub.ai/regalstreak/luma",
    "owner": "regalstreak",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "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",
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