[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MQ5EFYTPCA3DTY3K8RN1AX":3,"skill-same:01M6MQ5EFYTPCA3DTY3K8RN1AX":101},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":67,"commitSha":68,"skillDirectory":69,"forksCount":70,"repositoryHtmlUrl":71,"repositoryHomepageUrl":6,"ownerHtmlUrl":72,"ownerBlogUrl":6,"ownerDescription":73,"updatedAt":74,"install":75,"resources":88},"01M6MQ5EFYTPCA3DTY3K8RN1AX","google-maps",null,"Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance\u002Ftravel time calculations  with traffic prediction, (2) Turn-by-turn directions, (3) Distance matrix between multiple points,  (4) Geocoding addresses to coordinates and reverse, (5) Places search and details, (6) Transit  planning with arrival times. Supports future departure times, traffic models (pessimistic\u002Foptimistic),  avoid options (tolls\u002Fhighways), and multiple travel modes (driving\u002Fwalking\u002Fbicycling\u002Ftransit).","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FAPIs与集成\u002Fgoogle-maps\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"google maps","maps","google","requests","modes","for","reverse","pip","routes-api","directions","traffic","transit planning","with","time","options","models","use","api","search","planning","2026-11-10 10:12:30",false,"---\nname: google-maps\ndescription: >\n  Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance\u002Ftravel time calculations \n  with traffic prediction, (2) Turn-by-turn directions, (3) Distance matrix between multiple points, \n  (4) Geocoding addresses to coordinates and reverse, (5) Places search and details, (6) Transit \n  planning with arrival times. Supports future departure times, traffic models (pessimistic\u002Foptimistic), \n  avoid options (tolls\u002Fhighways), and multiple travel modes (driving\u002Fwalking\u002Fbicycling\u002Ftransit).\nversion: 3.0.0\nauthor: Leo ?\ntags: [maps, places, location, navigation, google, traffic, directions, geocoding, routes-api]\nmetadata: {\"clawdbot\":{\"emoji\":\"?️\",\"requires\":{\"env\":[\"GOOGLE_API_KEY\"]},\"primaryEnv\":\"GOOGLE_API_KEY\",\"install\":[{\"id\":\"pip\",\"kind\":\"pip\",\"package\":\"requests\",\"label\":\"Install dependencies (pip)\"}]}}\nallowed-tools: [exec]\n---\n\n# Google Maps ?️\n\nGoogle Maps integration powered by the Routes API.\n\n## Requirements\n\n- `GOOGLE_API_KEY` environment variable\n- Enable in Google Cloud Console: Routes API, Places API, Geocoding API\n\n## Configuration\n\n| Env Variable | Default | Description |\n|--------------|---------|-------------|\n| `GOOGLE_API_KEY` | - | Required. Your Google Maps API key |\n| `GOOGLE_MAPS_LANG` | `en` | Response language (en, he, ja, etc.) |\n\nSet in OpenClaw config:\n```json\n{\n  \"env\": {\n    \"GOOGLE_API_KEY\": \"AIza...\",\n    \"GOOGLE_MAPS_LANG\": \"en\"\n  }\n}\n```\n\n## Script Location\n\n```bash\npython3 skills\u002Fgoogle-maps\u002Flib\u002Fmap_helper.py \u003Caction> [options]\n```\n\n---\n\n## Actions\n\n### distance - Calculate travel time\n\n```bash\npython3 lib\u002Fmap_helper.py distance \"origin\" \"destination\" [options]\n```\n\n**Options:**\n| Option | Values | Description |\n|--------|--------|-------------|\n| `--mode` | driving, walking, bicycling, transit | Travel mode (default: driving) |\n| `--depart` | now, +30m, +1h, 14:00, 2026-02-07 08:00 | Departure time |\n| `--arrive` | 14:00 | Arrival time (transit only) |\n| `--traffic` | best_guess, pessimistic, optimistic | Traffic model |\n| `--avoid` | tolls, highways, ferries | Comma-separated |\n\n**Examples:**\n```bash\npython3 lib\u002Fmap_helper.py distance \"New York\" \"Boston\"\npython3 lib\u002Fmap_helper.py distance \"Los Angeles\" \"San Francisco\" --depart=\"+1h\"\npython3 lib\u002Fmap_helper.py distance \"Chicago\" \"Detroit\" --depart=\"08:00\" --traffic=pessimistic\npython3 lib\u002Fmap_helper.py distance \"London\" \"Manchester\" --mode=transit --arrive=\"09:00\"\npython3 lib\u002Fmap_helper.py distance \"Paris\" \"Lyon\" --avoid=tolls,highways\n```\n\n**Response:**\n```json\n{\n  \"distance\": \"215.2 mi\",\n  \"distance_meters\": 346300,\n  \"duration\": \"3 hrs 45 mins\",\n  \"duration_seconds\": 13500,\n  \"static_duration\": \"3 hrs 30 mins\",\n  \"duration_in_traffic\": \"3 hrs 45 mins\"\n}\n```\n\n---\n\n### directions - Turn-by-turn route\n\n```bash\npython3 lib\u002Fmap_helper.py directions \"origin\" \"destination\" [options]\n```\n\n**Additional options (beyond distance):**\n| Option | Description |\n|--------|-------------|\n| `--alternatives` | Return multiple routes |\n| `--waypoints` | Intermediate stops (pipe-separated) |\n| `--optimize` | Optimize waypoint order (TSP) |\n\n**Examples:**\n```bash\npython3 lib\u002Fmap_helper.py directions \"New York\" \"Washington DC\"\npython3 lib\u002Fmap_helper.py directions \"San Francisco\" \"Los Angeles\" --alternatives\npython3 lib\u002Fmap_helper.py directions \"Miami\" \"Orlando\" --waypoints=\"Fort Lauderdale|West Palm Beach\" --optimize\n```\n\n**Response includes:** summary, labels, duration, static_duration, warnings, steps[], optimized_waypoint_order\n\n---\n\n### matrix - Distance matrix\n\nCalculate distances between multiple origins and destinations:\n\n```bash\npython3 lib\u002Fmap_helper.py matrix \"orig1|orig2\" \"dest1|dest2\"\n```\n\n**Example:**\n```bash\npython3 lib\u002Fmap_helper.py matrix \"New York|Boston\" \"Philadelphia|Washington DC\"\n```\n\n**Response:**\n```json\n{\n  \"origins\": [\"New York\", \"Boston\"],\n  \"destinations\": [\"Philadelphia\", \"Washington DC\"],\n  \"results\": [\n    {\"origin_index\": 0, \"destination_index\": 0, \"distance\": \"97 mi\", \"duration\": \"1 hr 45 mins\"},\n    {\"origin_index\": 0, \"destination_index\": 1, \"distance\": \"225 mi\", \"duration\": \"4 hrs 10 mins\"}\n  ]\n}\n```\n\n---\n\n### geocode - Address to coordinates\n\n```bash\npython3 lib\u002Fmap_helper.py geocode \"1600 Amphitheatre Parkway, Mountain View, CA\"\npython3 lib\u002Fmap_helper.py geocode \"10 Downing Street, London\"\n```\n\n### reverse - Coordinates to address\n\n```bash\npython3 lib\u002Fmap_helper.py reverse 40.7128 -74.0060  # New York City\npython3 lib\u002Fmap_helper.py reverse 51.5074 -0.1278  # London\n```\n\n---\n\n### search - Find places\n\n```bash\npython3 lib\u002Fmap_helper.py search \"coffee near Times Square\"\npython3 lib\u002Fmap_helper.py search \"pharmacy in San Francisco\" --open\n```\n\n### details - Place information\n\n```bash\npython3 lib\u002Fmap_helper.py details \"\u003Cplace_id>\"\n```\n\n---\n\n## Traffic Models\n\n| Model | Use Case |\n|-------|----------|\n| `best_guess` | Default balanced estimate |\n| `pessimistic` | Important meetings (worst-case) |\n| `optimistic` | Best-case scenario |\n\n---\n\n## Regional Notes\n\nSome features may not be available in all countries:\n\n| Feature | Availability |\n|---------|--------------|\n| `--fuel-efficient` | US, EU, select countries |\n| `--shorter` | Limited availability |\n| `--mode=two_wheeler` | Asia, select countries |\n\nCheck [Google Maps coverage](https:\u002F\u002Fdevelopers.google.com\u002Fmaps\u002Fcoverage) for details.\n\n---\n\n## Multilingual Support\n\nWorks with addresses in any language:\n\n```bash\n# Hebrew\npython3 lib\u002Fmap_helper.py distance \"תל אביב\" \"ירושלים\"\npython3 lib\u002Fmap_helper.py geocode \"דיזנגוף 50, תל אביב\"\n\n# Japanese\npython3 lib\u002Fmap_helper.py distance \"東京\" \"大阪\"\n\n# Arabic\npython3 lib\u002Fmap_helper.py distance \"دبي\" \"أبو ظبي\"\n```\n\n**Language configuration:**\n\n1. Set default via env: `GOOGLE_MAPS_LANG=he` (persists)\n2. Override per-request: `--lang=ja`\n\n```bash\n# Set Hebrew as default in OpenClaw config\nGOOGLE_MAPS_LANG=he\n\n# Override for specific request\npython3 lib\u002Fmap_helper.py distance \"Tokyo\" \"Osaka\" --lang=ja\n```\n\n---\n\n## Help\n\n```bash\npython3 lib\u002Fmap_helper.py help\n```\n","# Google Maps ?️\n\nGoogle Maps integration powered by the Routes API.\n\n## Requirements\n\n- `GOOGLE_API_KEY` environment variable\n- Enable in Google Cloud Console: Routes API, Places API, Geocoding API\n\n## Configuration\n\n| Env Variable | Default | Description |\n|--------------|---------|-------------|\n| `GOOGLE_API_KEY` | - | Required. Your Google Maps API key |\n| `GOOGLE_MAPS_LANG` | `en` | Response language (en, he, ja, etc.) |\n\nSet in OpenClaw config:\n```json\n{\n  \"env\": {\n    \"GOOGLE_API_KEY\": \"AIza...\",\n    \"GOOGLE_MAPS_LANG\": \"en\"\n  }\n}\n```\n\n## Script Location\n\n```bash\npython3 skills\u002Fgoogle-maps\u002Flib\u002Fmap_helper.py \u003Caction> [options]\n```\n\n---\n\n## Actions\n\n### distance - Calculate travel time\n\n```bash\npython3 lib\u002Fmap_helper.py distance \"origin\" \"destination\" [options]\n```\n\n**Options:**\n| Option | Values | Description |\n|--------|--------|-------------|\n| `--mode` | driving, walking, bicycling, transit | Travel mode (default: driving) |\n| `--depart` | now, +30m, +1h, 14:00, 2026-02-07 08:00 | Departure time |\n| `--arrive` | 14:00 | Arrival time (transit only) |\n| `--traffic` | best_guess, pessimistic, optimistic | Traffic model |\n| `--avoid` | tolls, highways, ferries | Comma-separated |\n\n**Examples:**\n```bash\npython3 lib\u002Fmap_helper.py distance \"New York\" \"Boston\"\npython3 lib\u002Fmap_helper.py distance \"Los Angeles\" \"San Francisco\" --depart=\"+1h\"\npython3 lib\u002Fmap_helper.py distance \"Chicago\" \"Detroit\" --depart=\"08:00\" --traffic=pessimistic\npython3 lib\u002Fmap_helper.py distance \"London\" \"Manchester\" --mode=transit --arrive=\"09:00\"\npython3 lib\u002Fmap_helper.py distance \"Paris\" \"Lyon\" --avoid=tolls,highways\n```\n\n**Response:**\n```json\n{\n  \"distance\": \"215.2 mi\",\n  \"distance_meters\": 346300,\n  \"duration\": \"3 hrs 45 mins\",\n  \"duration_seconds\": 13500,\n  \"static_duration\": \"3 hrs 30 mins\",\n  \"duration_in_traffic\": \"3 hrs 45 mins\"\n}\n```\n\n---\n\n### directions - Turn-by-turn route\n\n```bash\npython3 lib\u002Fmap_helper.py directions \"origin\" \"destination\" [options]\n```\n\n**Additional options (beyond distance):**\n| Option | Description |\n|--------|-------------|\n| `--alternatives` | Return multiple routes |\n| `--waypoints` | Intermediate stops (pipe-separated) |\n| `--optimize` | Optimize waypoint order (TSP) |\n\n**Examples:**\n```bash\npython3 lib\u002Fmap_helper.py directions \"New York\" \"Washington DC\"\npython3 lib\u002Fmap_helper.py directions \"San Francisco\" \"Los Angeles\" --alternatives\npython3 lib\u002Fmap_helper.py directions \"Miami\" \"Orlando\" --waypoints=\"Fort Lauderdale|West Palm Beach\" --optimize\n```\n\n**Response includes:** summary, labels, duration, static_duration, warnings, steps[], optimized_waypoint_order\n\n---\n\n### matrix - Distance matrix\n\nCalculate distances between multiple origins and destinations:\n\n```bash\npython3 lib\u002Fmap_helper.py matrix \"orig1|orig2\" \"dest1|dest2\"\n```\n\n**Example:**\n```bash\npython3 lib\u002Fmap_helper.py matrix \"New York|Boston\" \"Philadelphia|Washington DC\"\n```\n\n**Response:**\n```json\n{\n  \"origins\": [\"New York\", \"Boston\"],\n  \"destinations\": [\"Philadelphia\", \"Washington DC\"],\n  \"results\": [\n    {\"origin_index\": 0, \"destination_index\": 0, \"distance\": \"97 mi\", \"duration\": \"1 hr 45 mins\"},\n    {\"origin_index\": 0, \"destination_index\": 1, \"distance\": \"225 mi\", \"duration\": \"4 hrs 10 mins\"}\n  ]\n}\n```\n\n---\n\n### geocode - Address to coordinates\n\n```bash\npython3 lib\u002Fmap_helper.py geocode \"1600 Amphitheatre Parkway, Mountain View, CA\"\npython3 lib\u002Fmap_helper.py geocode \"10 Downing Street, London\"\n```\n\n### reverse - Coordinates to address\n\n```bash\npython3 lib\u002Fmap_helper.py reverse 40.7128 -74.0060  # New York City\npython3 lib\u002Fmap_helper.py reverse 51.5074 -0.1278  # London\n```\n\n---\n\n### search - Find places\n\n```bash\npython3 lib\u002Fmap_helper.py search \"coffee near Times Square\"\npython3 lib\u002Fmap_helper.py search \"pharmacy in San Francisco\" --open\n```\n\n### details - Place information\n\n```bash\npython3 lib\u002Fmap_helper.py details \"\u003Cplace_id>\"\n```\n\n---\n\n## Traffic Models\n\n| Model | Use Case |\n|-------|----------|\n| `best_guess` | Default balanced estimate |\n| `pessimistic` | Important meetings (worst-case) |\n| `optimistic` | Best-case scenario |\n\n---\n\n## Regional Notes\n\nSome features may not be available in all countries:\n\n| Feature | Availability |\n|---------|--------------|\n| `--fuel-efficient` | US, EU, select countries |\n| `--shorter` | Limited availability |\n| `--mode=two_wheeler` | Asia, select countries |\n\nCheck [Google Maps coverage](https:\u002F\u002Fdevelopers.google.com\u002Fmaps\u002Fcoverage) for details.\n\n---\n\n## Multilingual Support\n\nWorks with addresses in any language:\n\n```bash\n# Hebrew\npython3 lib\u002Fmap_helper.py distance \"תל אביב\" \"ירושלים\"\npython3 lib\u002Fmap_helper.py geocode \"דיזנגוף 50, תל אביב\"\n\n# Japanese\npython3 lib\u002Fmap_helper.py distance \"東京\" \"大阪\"\n\n# Arabic\npython3 lib\u002Fmap_helper.py distance \"دبي\" \"أبو ظبي\"\n```\n\n**Language configuration:**\n\n1. Set default via env: `GOOGLE_MAPS_LANG=he` (persists)\n2. Override per-request: `--lang=ja`\n\n```bash\n# Set Hebrew as default in OpenClaw config\nGOOGLE_MAPS_LANG=he\n\n# Override for specific request\npython3 lib\u002Fmap_helper.py distance \"Tokyo\" \"Osaka\" --lang=ja\n```\n\n---\n\n## Help\n\n```bash\npython3 lib\u002Fmap_helper.py help\n```\n",{"name":5,"tags":48,"author":53,"version":54,"metadata":55,"description":64,"allowed-tools":65},[24,49,50,51,25,33,32,52,31],"places","location","navigation","geocoding","Leo ?","3.0.0",{"clawdbot":56},{"emoji":57,"install":58,"requires":61,"primaryEnv":63},"?️",[59],{"id":30,"kind":30,"label":60,"package":26},"Install dependencies (pip)",{"env":62},[63],"GOOGLE_API_KEY","Google Maps integration for OpenClaw with Routes API. Use for: (1) Distance\u002Ftravel time calculations  with traffic prediction, (2) Turn-by-turn directions, (3) Distance matrix between multiple points,  (4) Geocoding addresses to coordinates and reverse, (5) Places search and details, (6) Transit  planning with arrival times. Supports future departure times, traffic models (pessimistic\u002Foptimistic),  avoid options (tolls\u002Fhighways), and multiple travel modes (driving\u002Fwalking\u002Fbicycling\u002Ftransit).\n",[66],"exec","main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","APIs与集成\u002Fgoogle-maps",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":76,"prompt":86,"zipAvailable":87},[77,80,83],{"tool":78,"command":79},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill google-maps",{"tool":81,"command":82},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill google-maps",{"tool":84,"command":85},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill google-maps","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FAPIs与集成\u002Fgoogle-maps\u002FSKILL.md",true,[89,95],{"path":90,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":93,"sourceHtmlUrl":94},"_meta.json","REFERENCE","参考文档",983,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FAPIs与集成\u002Fgoogle-maps\u002F_meta.json",{"path":96,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":99,"sourceHtmlUrl":100},"lib\u002Fmap_helper.py","SCRIPT","脚本",36739,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FAPIs与集成\u002Fgoogle-maps\u002Flib\u002Fmap_helper.py",[102,125,156,167,177,204],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":43},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[104,109,110,111,112,113,39,114,115,116,117,118,119,120,121,122,123,124],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":126,"name":127,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":139,"publishedAt":43},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[130,131,134],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":132,"categoryName":133,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[40,140,141,142,143,144,145,111,146,114,147,148,149,150,151,152,153,154,155],"zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":157,"name":158,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":164,"publishedAt":43},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[161,162,163],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":132,"categoryName":133,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},[40,165,166,140,141,142,143,144,145,111,146,114,148,149,150,151,152,153,154,155],"api skill","zerion api skill",{"skillNo":168,"name":169,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":175,"publishedAt":43},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[172,173,174],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":132,"categoryName":133,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},[142,40,176,140,141,143,144,111,146,114,147,148,149,150,151,152,153,154,155],"zerion api mcp",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":186,"publishedAt":43},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[183],{"categoryNo":184,"categoryName":185,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000040","财务",[187,188,189,190,191,192,193,194,195,196,197,198,199,200,36,201,202,30,203,28],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","currency","gbp","market data",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":211,"publishedAt":43},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[210],{"categoryNo":184,"categoryName":185,"taxonomyType":137,"taxonomyTypeDesc":138},[187,188,190,212,213,214,215,216,217,198,218,219,220,221,222,223,224,225,155,203],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]