[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71AG8EPJCMMH47FJB9GV9HT":3,"skill-same:01M71AG8EPJCMMH47FJB9GV9HT":72},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":14,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M71AG8EPJCMMH47FJB9GV9HT","find-nearby",null,"Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Ffind-nearby\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"find","find nearby","api","telegram","maps","location","coordinates","places","local","codes","with","restaurants","zip","addresses","keys","api keys","2026-11-10 10:12:30",false,"---\nname: find-nearby\ndescription: Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.\nversion: 1.0.0\nmetadata:\n  hermes:\n    tags: [location, maps, nearby, places, restaurants, local]\n    related_skills: []\n---\n\n# Find Nearby — Local Place Discovery\n\nFind restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:\n\n- **Coordinates** from Telegram location pins (latitude\u002Flongitude in conversation)\n- **Addresses** (\"near 123 Main St, Springfield\")\n- **Cities** (\"restaurants in downtown Austin\")\n- **Zip codes** (\"pharmacies near 90210\")\n- **Landmarks** (\"cafes near Times Square\")\n\n## Quick Reference\n\n```bash\n# By coordinates (from Telegram location pin or user-provided)\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --lat \u003CLAT> --lon \u003CLON> --type restaurant --radius 1500\n\n# By address, city, or landmark (auto-geocoded)\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"Times Square, New York\" --type cafe\n\n# Multiple place types\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"downtown austin\" --type restaurant --type bar --limit 10\n\n# JSON output\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"90210\" --type pharmacy --json\n```\n\n### Parameters\n\n| Flag | Description | Default |\n|------|-------------|---------|\n| `--lat`, `--lon` | Exact coordinates | — |\n| `--near` | Address, city, zip, or landmark (geocoded) | — |\n| `--type` | Place type (repeatable for multiple) | restaurant |\n| `--radius` | Search radius in meters | 1500 |\n| `--limit` | Max results | 15 |\n| `--json` | Machine-readable JSON output | off |\n\n### Common Place Types\n\n`restaurant`, `cafe`, `bar`, `pub`, `fast_food`, `pharmacy`, `hospital`, `bank`, `atm`, `fuel`, `parking`, `supermarket`, `convenience`, `hotel`\n\n## Workflow\n\n1. **Get the location.** Look for coordinates (`latitude: ... \u002F longitude: ...`) from a Telegram pin, or ask the user for an address\u002Fcity\u002Fzip.\n\n2. **Ask for preferences** (only if not already stated): place type, how far they're willing to go, any specifics (cuisine, \"open now\", etc.).\n\n3. **Run the script** with appropriate flags. Use `--json` if you need to process results programmatically.\n\n4. **Present results** with names, distances, and Google Maps links. If the user asked about hours or \"open now,\" check the `hours` field in results — if missing or unclear, verify with `web_search`.\n\n5. **For directions**, use the `directions_url` from results, or construct: `https:\u002F\u002Fwww.google.com\u002Fmaps\u002Fdir\u002F?api=1&origin=\u003CLAT>,\u003CLON>&destination=\u003CLAT>,\u003CLON>`\n\n## Tips\n\n- If results are sparse, widen the radius (1500 → 3000m)\n- For \"open now\" requests: check the `hours` field in results, cross-reference with `web_search` for accuracy since OSM hours aren't always complete\n- Zip codes alone can be ambiguous globally — prompt the user for country\u002Fstate if results look wrong\n- The script uses OpenStreetMap data which is community-maintained; coverage varies by region\n","# Find Nearby — Local Place Discovery\n\nFind restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:\n\n- **Coordinates** from Telegram location pins (latitude\u002Flongitude in conversation)\n- **Addresses** (\"near 123 Main St, Springfield\")\n- **Cities** (\"restaurants in downtown Austin\")\n- **Zip codes** (\"pharmacies near 90210\")\n- **Landmarks** (\"cafes near Times Square\")\n\n## Quick Reference\n\n```bash\n# By coordinates (from Telegram location pin or user-provided)\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --lat \u003CLAT> --lon \u003CLON> --type restaurant --radius 1500\n\n# By address, city, or landmark (auto-geocoded)\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"Times Square, New York\" --type cafe\n\n# Multiple place types\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"downtown austin\" --type restaurant --type bar --limit 10\n\n# JSON output\npython3 SKILL_DIR\u002Fscripts\u002Ffind_nearby.py --near \"90210\" --type pharmacy --json\n```\n\n### Parameters\n\n| Flag | Description | Default |\n|------|-------------|---------|\n| `--lat`, `--lon` | Exact coordinates | — |\n| `--near` | Address, city, zip, or landmark (geocoded) | — |\n| `--type` | Place type (repeatable for multiple) | restaurant |\n| `--radius` | Search radius in meters | 1500 |\n| `--limit` | Max results | 15 |\n| `--json` | Machine-readable JSON output | off |\n\n### Common Place Types\n\n`restaurant`, `cafe`, `bar`, `pub`, `fast_food`, `pharmacy`, `hospital`, `bank`, `atm`, `fuel`, `parking`, `supermarket`, `convenience`, `hotel`\n\n## Workflow\n\n1. **Get the location.** Look for coordinates (`latitude: ... \u002F longitude: ...`) from a Telegram pin, or ask the user for an address\u002Fcity\u002Fzip.\n\n2. **Ask for preferences** (only if not already stated): place type, how far they're willing to go, any specifics (cuisine, \"open now\", etc.).\n\n3. **Run the script** with appropriate flags. Use `--json` if you need to process results programmatically.\n\n4. **Present results** with names, distances, and Google Maps links. If the user asked about hours or \"open now,\" check the `hours` field in results — if missing or unclear, verify with `web_search`.\n\n5. **For directions**, use the `directions_url` from results, or construct: `https:\u002F\u002Fwww.google.com\u002Fmaps\u002Fdir\u002F?api=1&origin=\u003CLAT>,\u003CLON>&destination=\u003CLAT>,\u003CLON>`\n\n## Tips\n\n- If results are sparse, widen the radius (1500 → 3000m)\n- For \"open now\" requests: check the `hours` field in results, cross-reference with `web_search` for accuracy since OSM hours aren't always complete\n- Zip codes alone can be ambiguous globally — prompt the user for country\u002Fstate if results look wrong\n- The script uses OpenStreetMap data which is community-maintained; coverage varies by region\n",{"name":5,"version":40,"metadata":41,"description":7},"1.0.0",{"hermes":42},{"tags":43,"related_skills":45},[24,23,44,26,30,27],"nearby",[],"main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fhermes\u002Ffind-nearby","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill find-nearby",{"tool":58,"command":59},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill find-nearby",{"tool":61,"command":62},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill find-nearby","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Ffind-nearby\u002FSKILL.md",true,[66],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"scripts\u002Ffind_nearby.py","SCRIPT","脚本",6808,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Ffind-nearby\u002Fscripts\u002Ffind_nearby.py",[73,96,120,130,143,162],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":84,"publishedAt":35},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":82,"taxonomyTypeDesc":83},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[85,86,87,88,89,90,91,92,93,94,95,29],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":35},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[103,104,105,34,106,107,87,108,109,110,111,112,113,114,115,116,117,118,119,21],"trend","trend tap","tap","Bash","time","trending","hacker","aggregator","do","when","brew","live","data","google","install","read","across",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":35},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[127,128,103,113,114,115,116,106,87,118,129,119,21,112,110,109,108,117,107,34],"trend radar","radar","pulse",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":35},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[137,138,139,140,141,142],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":154,"publishedAt":35},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[149],{"categoryNo":150,"categoryName":151,"taxonomyType":152,"taxonomyTypeDesc":153},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[145,93,155,156,157,29,113,158,159,160,105,161,117],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":168,"publishedAt":35},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[164,169,170,171,117,172,159,173,174,175,176,177],"status","play","go","latest","github","discover","control","cmd","volume"]