[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KSF47MD0GJC074MPY6862K":3,"skill-same:01M6KSF47MD0GJC074MPY6862K":71},{"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":51,"commitSha":52,"skillDirectory":53,"forksCount":13,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6KSF47MD0GJC074MPY6862K","pua",null,"Forces high-agency exhaustive problem-solving with corporate PUA pressure. Triggers on user frustration, repeated failures (2+), passive behavior, or quality complaints. Common triggers across Reddit\u002FLinuxDo\u002FHN\u002FX: 'try harder', 'figure it out', 'stop giving up', 'you keep failing', '加油', '别偷懒', '你再试试', '为什么还不行', '你怎么又失败了', '你怎么搞的', '又错了', '能不能靠谱点', '认真点', '不行啊', '降智了', '你又在原地打转', '你把之前的改坏了', '别让我手动处理', '换个方法', 'stop spinning', 'you broke it', 'why does this still not work', 'this is the third time', '\u002Fpua', 'PUA模式'. Applies to ALL task types: code, config, debug, deploy, research.","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fpua\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[5,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"failing","research","high","you","with","types","keep","problem","triggers","across","time","problem-solving","task","reddit","up","work","common","figure it out","code","debug","2026-11-10 10:12:30",false,"---\nname: flight-tracker\nversion: 1.0.0\ndescription: Track flights in real-time with detailed status, gate info, delays, and live position. Use when user asks to track a flight, check flight status, look up flight information by flight number (e.g., \"track AA100\", \"what's the status of United 2402\", \"check my flight BA123\"), or wants to display flight data in a formatted view similar to Flighty app.\n---\n\n# Flight Tracker\n\nTrack any flight worldwide using AviationStack API and display in a clean, Flighty-style format.\n\n## Quick Start\n\nTrack a flight by its IATA code:\n\n```bash\nscripts\u002Ftrack_flight.py AA100\nscripts\u002Ftrack_flight.py UA2402\nscripts\u002Ftrack_flight.py BA123\n```\n\n## First-Time Setup\n\nBefore using this skill, you need an API key (one-time setup):\n\n1. **Get a free API key** at https:\u002F\u002Faviationstack.com\u002Fsignup\u002Ffree (100 requests\u002Fmonth)\n2. **Set environment variable:**\n   ```bash\n   export AVIATIONSTACK_API_KEY='your-key-here'\n   ```\n3. **Install dependencies:**\n   ```bash\n   pip3 install requests\n   ```\n\nFor detailed setup instructions, see [api-setup.md](references\u002Fapi-setup.md).\n\n## Output Format\n\nThe skill displays flight information in a clean, readable format with:\n\n- ✈️ Airline and flight number\n- ?️ Aircraft type and registration\n- ? Departure airport, terminal, gate, times\n- ? Arrival airport, terminal, gate, times\n- ? Flight status with visual indicators\n- ⏱️ Delay calculations (if applicable)\n- ? Live position, altitude, speed (when airborne)\n\nStatus indicators:\n- ? Active\u002FAirborne\u002FEn-route\n- ✅ Landed\u002FArrived\n- ? Scheduled\n- ? Delayed\n- ? Cancelled\n\n## Advanced Usage\n\n**Get raw JSON data:**\n```bash\nscripts\u002Ftrack_flight.py AA100 --json\n```\n\n**Check help:**\n```bash\nscripts\u002Ftrack_flight.py --help\n```\n\n## Workflow\n\nWhen a user asks to track a flight:\n\n1. Extract the flight number from the request\n2. Run the tracking script with the flight number\n3. Present the formatted output to the user\n4. If data is needed for further processing, use `--json` flag\n\n## Flight Number Formats\n\nAccept IATA flight codes:\n- AA100 (American Airlines)\n- UA2402 (United)\n- BA123 (British Airways)\n- DL456 (Delta)\n\nThe script automatically converts to uppercase and handles the lookup.\n\n## Error Handling\n\nThe script handles common errors:\n- Missing API key → Shows setup instructions\n- Flight not found → Suggests verification\n- API errors → Displays error message\n- Rate limit exceeded → Indicates limit reached\n\n## API Limits\n\nFree tier: 100 requests\u002Fmonth. Track usage to stay within limits. For heavy usage, consider upgrading or alternative APIs (see references\u002Fapi-setup.md).\n\n## Notes\n\n- Uses AviationStack free tier (no HTTPS on free plan)\n- Real-time data updated frequently\n- Historical flight data available\n- Worldwide coverage (250+ countries, 13,000+ airlines)\n","# Flight Tracker\n\nTrack any flight worldwide using AviationStack API and display in a clean, Flighty-style format.\n\n## Quick Start\n\nTrack a flight by its IATA code:\n\n```bash\nscripts\u002Ftrack_flight.py AA100\nscripts\u002Ftrack_flight.py UA2402\nscripts\u002Ftrack_flight.py BA123\n```\n\n## First-Time Setup\n\nBefore using this skill, you need an API key (one-time setup):\n\n1. **Get a free API key** at https:\u002F\u002Faviationstack.com\u002Fsignup\u002Ffree (100 requests\u002Fmonth)\n2. **Set environment variable:**\n   ```bash\n   export AVIATIONSTACK_API_KEY='your-key-here'\n   ```\n3. **Install dependencies:**\n   ```bash\n   pip3 install requests\n   ```\n\nFor detailed setup instructions, see [api-setup.md](references\u002Fapi-setup.md).\n\n## Output Format\n\nThe skill displays flight information in a clean, readable format with:\n\n- ✈️ Airline and flight number\n- ?️ Aircraft type and registration\n- ? Departure airport, terminal, gate, times\n- ? Arrival airport, terminal, gate, times\n- ? Flight status with visual indicators\n- ⏱️ Delay calculations (if applicable)\n- ? Live position, altitude, speed (when airborne)\n\nStatus indicators:\n- ? Active\u002FAirborne\u002FEn-route\n- ✅ Landed\u002FArrived\n- ? Scheduled\n- ? Delayed\n- ? Cancelled\n\n## Advanced Usage\n\n**Get raw JSON data:**\n```bash\nscripts\u002Ftrack_flight.py AA100 --json\n```\n\n**Check help:**\n```bash\nscripts\u002Ftrack_flight.py --help\n```\n\n## Workflow\n\nWhen a user asks to track a flight:\n\n1. Extract the flight number from the request\n2. Run the tracking script with the flight number\n3. Present the formatted output to the user\n4. If data is needed for further processing, use `--json` flag\n\n## Flight Number Formats\n\nAccept IATA flight codes:\n- AA100 (American Airlines)\n- UA2402 (United)\n- BA123 (British Airways)\n- DL456 (Delta)\n\nThe script automatically converts to uppercase and handles the lookup.\n\n## Error Handling\n\nThe script handles common errors:\n- Missing API key → Shows setup instructions\n- Flight not found → Suggests verification\n- API errors → Displays error message\n- Rate limit exceeded → Indicates limit reached\n\n## API Limits\n\nFree tier: 100 requests\u002Fmonth. Track usage to stay within limits. For heavy usage, consider upgrading or alternative APIs (see references\u002Fapi-setup.md).\n\n## Notes\n\n- Uses AviationStack free tier (no HTTPS on free plan)\n- Real-time data updated frequently\n- Historical flight data available\n- Worldwide coverage (250+ countries, 13,000+ airlines)\n",{"name":48,"version":49,"description":50},"flight-tracker","1.0.0","Track flights in real-time with detailed status, gate info, delays, and live position. Use when user asks to track a flight, check flight status, look up flight information by flight number (e.g., \"track AA100\", \"what's the status of United 2402\", \"check my flight BA123\"), or wants to display flight data in a formatted view similar to Flighty app.","main","1256c5192f3c339bb70fe030343d748f6cd943fc","Coding\u002Fpua","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus","https:\u002F\u002Fgithub.com\u002Fendman100","2026-11-09 17:00:01",{"source":8,"skillName":48,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add endman100\u002Fskill-router-nexus --skill flight-tracker",{"tool":63,"command":64},"bunx","bunx skills add endman100\u002Fskill-router-nexus --skill flight-tracker",{"tool":66,"command":67},"pnpm","pnpm dlx skills add endman100\u002Fskill-router-nexus --skill flight-tracker","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FCoding\u002Fpua\u002FSKILL.md",true,[],[72,94,132,155,164,188],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":76,"sourceHtmlUrl":77,"categories":78,"keywords":82,"publishedAt":43},"01M6MPCT5BXVER8HQZTW3QE9AS","create-master","基于佛教经典文献，生成特定高僧大德的 AI 教学角色","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FSKILL.md",[79],{"categoryNo":80,"categoryName":81,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000039","教师与教育",[83,84,85,86,87,88,89,90,91,92,93],"create master","master","create","生成","true","webfetch","edit","write","read","grep","Bash",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":98,"sourceHtmlUrl":99,"categories":100,"keywords":112,"publishedAt":43},"01M6M43AKE95Y64E1JRXEF5QQ3","writing-dna-skill","从至少 20 篇完整文章中蒸馏可复用的写作 DNA，分析语言、文章结构、选题逻辑、素材策略、认知框架和视觉风格，并生成 Writing-DNA.md；按该 DNA 写作时会读取全部蒸馏产物和 5 篇相关原文。用于中英文作者、账号、品牌或出版物的风格分析与一致性写作。 Distill reusable Writing DNA from at least 20 complete articles for Chinese or English authors, publications, brands, and accounts; use for language, structure, topic logic, source strategy, cognitive-frame, and visual-style analysis.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FSKILL.md",[101,106,109],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":107,"categoryName":108,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":110,"categoryName":111,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000036","内容创作者",[113,114,115,116,117,118,119,120,121,122,123,124,125,86,126,127,128,129,130,131],"writing dna skill","DNA","writing","strategy","english","logic","visual","structure","chinese","reusable","use","style","distill","analysis","frame","source","for","at","complete",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":136,"sourceHtmlUrl":137,"categories":138,"keywords":141,"publishedAt":43},"01M6M428TTCGQ4ME3KY99VN037","stop-slop","Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FSKILL.md",[139,140],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":110,"categoryName":111,"taxonomyType":20,"taxonomyTypeDesc":21},[142,143,144,145,146,147,148,149,150,123,151,152,153,129,154,115],"slop","stop slop","stop","drafting","when","drafts","https","patterns","prose","remove","editing","text","content",{"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":159,"sourceHtmlUrl":160,"categories":161,"keywords":162,"publishedAt":43},"01M6M41X0B7EBX42TK435DMGGR","shuorenhua","检查和清理中英文文本里的 AI 套路，适用于“去 AI 味”“说人话”“自然一点”“别像模板”“先标问题”这类改写和审稿需求；按场景控制力度，同时保留事实、术语、语域和责任主体。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FSKILL.md",[],[157,163],"文本",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":171,"publishedAt":43},"01M6M3ZD12WBEW5KXKDM4N6DFG","naming","Name products, SaaS, brands, open source projects, bots, and apps. Use when the user needs to name something, find a brand name, or pick a product name. Metaphor-driven process that produces memorable, meaningful names and avoids AI slop.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FSKILL.md",[],[166,172,173,174,175,176,123,177,91,128,178,179,180,181,93,182,183,184,185,146,186,187,142],"repo","websearch","product name","apps","bots","view","brand","pick","gh","projects","open","saas","open source","product","describe","ai slop",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":43},"01M6M3YVXAFAAWJ7F6JMPFREYE","humanizer-zh","去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式：夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FSKILL.md",[195],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},[197,198,199,91,90,89,115,86,163,200,142,144],"humanizer","zh","humanizer zh","翻译"]