[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G313KPM2G2223S2QADVC2E":3,"skill-same:01M6G313KPM2G2223S2QADVC2E":99},{"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":66,"commitSha":67,"skillDirectory":68,"forksCount":69,"repositoryHtmlUrl":70,"repositoryHomepageUrl":6,"ownerHtmlUrl":71,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":72,"install":73,"resources":86},"01M6G313KPM2G2223S2QADVC2E","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).","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fshaharsha\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","options","routes-api","directions","traffic","transit planning","requests","with","time","dependencies","location","geocoding","models","use","api","integration","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":51,"version":52,"metadata":53,"description":63,"allowed-tools":64},[24,49,35,50,25,29,28,36,27],"places","navigation","Leo ?","3.0.0",{"clawdbot":54},{"emoji":55,"install":56,"requires":60,"primaryEnv":62},"?️",[57],{"id":58,"kind":58,"label":59,"package":31},"pip","Install dependencies (pip)",{"env":61},[62],"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",[65],"exec","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fshaharsha\u002Fgoogle-maps",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":74,"prompt":84,"zipAvailable":85},[75,78,81],{"tool":76,"command":77},"npx","npx skills add kbarbel640-del\u002Fskills --skill google-maps",{"tool":79,"command":80},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill google-maps",{"tool":82,"command":83},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill google-maps","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fshaharsha\u002Fgoogle-maps\u002FSKILL.md",true,[87,93],{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"_meta.json","REFERENCE","参考文档",983,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fshaharsha\u002Fgoogle-maps\u002F_meta.json",{"path":94,"resourceType":95,"resourceTypeDesc":96,"sizeBytes":97,"sourceHtmlUrl":98},"lib\u002Fmap_helper.py","SCRIPT","脚本",36739,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fshaharsha\u002Fgoogle-maps\u002Flib\u002Fmap_helper.py",[100,129,155,176,182,202],{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":111,"publishedAt":43},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[106],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[112,113,39,32,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128],"crowd prompting","prompting","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":138,"publishedAt":43},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[139,39,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,117,38],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":156,"name":157,"nameZh":6,"description":158,"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},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[161],{"categoryNo":162,"categoryName":163,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[165,166,167,168,169,170,171,32,172,153,38,173,39,174,175],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":177,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":181,"publishedAt":43},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[180],{"categoryNo":162,"categoryName":163,"taxonomyType":20,"taxonomyTypeDesc":21},[168,167,166,165,175,170,171,32,169,153,38,172,173,39,174],{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":43},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[189,190,191,192,193,194,195,196,197,198,199,200,201],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":212,"publishedAt":43},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[208,209],{"categoryNo":136,"categoryName":137,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":210,"categoryName":211,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000037","律师与法务",[213,214,215,216,32,217,218,66,219,173,220,221,222,223,224,126,225,226,227],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]