[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70DJXMAYDZ2H5PMPP49EHEM":3,"skill-same:01M70DJXMAYDZ2H5PMPP49EHEM":80},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":6,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M70DJXMAYDZ2H5PMPP49EHEM","tavily-cli",null,"Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say \"fetch this page\", \"pull the content from\", \"get the page at https:\u002F\u002F\", \"find me articles about\", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.","EthanYoQ\u002FSkill-hub","EthanYoQ","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F257484394?v=4","01M70C9QKWR1YS0S7V26DNB18H","Ethan","01M70C9QMER047R5ANZZA6KC2P",11,"MIT","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Ftavily-cli\u002F07984187c040377d\u002Ftavily-cli\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"tavily cli","tavily","cli","tasks","code","Bash","URL","when","local","up","search","web search","get","extracting","crawl","discover","deep research","fetch","deep","Citations","2026-11-10 10:12:30",false,"---\nname: tavily-cli\ndescription: |\n  Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say \"fetch this page\", \"pull the content from\", \"get the page at https:\u002F\u002F\", \"find me articles about\", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.\ncompatibility: Requires tavily-cli (`curl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash`) and a Tavily API key from tavily.com.\nallowed-tools: Bash(tvly *)\n---\n\n# Tavily CLI\n\nWeb search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.\n\nRun `tvly --help` or `tvly \u003Ccommand> --help` for full option details.\n\n## Prerequisites\n\nMust be installed and authenticated. Check with `tvly --status`.\n\n```bash\ntavily v0.1.0\n\n> Authenticated via OAuth (tvly login)\n```\n\nIf not ready:\n\n```bash\ncurl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash\n```\n\nOr manually: `uv tool install tavily-cli` \u002F `pip install tavily-cli`\n\nThen authenticate:\n\n```bash\ntvly login --api-key tvly-YOUR_KEY\n# or: export TAVILY_API_KEY=tvly-YOUR_KEY\n# or: tvly login  (opens browser for OAuth)\n```\n\n## Workflow\n\nFollow this escalation pattern — start simple, escalate when needed:\n\n1. **Search** — No specific URL. Find pages, answer questions, discover sources.\n2. **Extract** — Have a URL. Pull its content directly.\n3. **Map** — Large site, need to find the right page. Discover URLs first.\n4. **Crawl** — Need bulk content from an entire site section.\n5. **Research** — Need comprehensive, multi-source analysis with citations.\n\n| Need | Command | When |\n|------|---------|------|\n| Find pages on a topic | `tvly search` | No specific URL yet |\n| Get a page's content | `tvly extract` | Have a URL |\n| Find URLs within a site | `tvly map` | Need to locate a specific subpage |\n| Bulk extract a site section | `tvly crawl` | Need many pages (e.g., all \u002Fdocs\u002F) |\n| Deep research with citations | `tvly research` | Need multi-source synthesis |\n\nFor detailed command reference, use the individual skill for each command (e.g., `tavily-search`, `tavily-crawl`) or run `tvly \u003Ccommand> --help`.\n\n## Output\n\nAll commands support `--json` for structured, machine-readable output and `-o` to save to a file.\n\n```bash\ntvly search \"react hooks\" --json -o results.json\ntvly extract \"https:\u002F\u002Fexample.com\u002Fdocs\" -o docs.md\ntvly crawl \"https:\u002F\u002Fdocs.example.com\" --output-dir .\u002Fdocs\u002F\n```\n\n## Tips\n\n- **Always quote URLs** — shell interprets `?` and `&` as special characters.\n- **Use `--json` for agentic workflows** — every command supports it.\n- **Read from stdin with `-`** — `echo \"query\" | tvly search -`\n- **Exit codes**: 0 = success, 2 = bad input, 3 = auth error, 4 = API error.\n","# Tavily CLI\n\nWeb search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.\n\nRun `tvly --help` or `tvly \u003Ccommand> --help` for full option details.\n\n## Prerequisites\n\nMust be installed and authenticated. Check with `tvly --status`.\n\n```bash\ntavily v0.1.0\n\n> Authenticated via OAuth (tvly login)\n```\n\nIf not ready:\n\n```bash\ncurl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash\n```\n\nOr manually: `uv tool install tavily-cli` \u002F `pip install tavily-cli`\n\nThen authenticate:\n\n```bash\ntvly login --api-key tvly-YOUR_KEY\n# or: export TAVILY_API_KEY=tvly-YOUR_KEY\n# or: tvly login  (opens browser for OAuth)\n```\n\n## Workflow\n\nFollow this escalation pattern — start simple, escalate when needed:\n\n1. **Search** — No specific URL. Find pages, answer questions, discover sources.\n2. **Extract** — Have a URL. Pull its content directly.\n3. **Map** — Large site, need to find the right page. Discover URLs first.\n4. **Crawl** — Need bulk content from an entire site section.\n5. **Research** — Need comprehensive, multi-source analysis with citations.\n\n| Need | Command | When |\n|------|---------|------|\n| Find pages on a topic | `tvly search` | No specific URL yet |\n| Get a page's content | `tvly extract` | Have a URL |\n| Find URLs within a site | `tvly map` | Need to locate a specific subpage |\n| Bulk extract a site section | `tvly crawl` | Need many pages (e.g., all \u002Fdocs\u002F) |\n| Deep research with citations | `tvly research` | Need multi-source synthesis |\n\nFor detailed command reference, use the individual skill for each command (e.g., `tavily-search`, `tavily-crawl`) or run `tvly \u003Ccommand> --help`.\n\n## Output\n\nAll commands support `--json` for structured, machine-readable output and `-o` to save to a file.\n\n```bash\ntvly search \"react hooks\" --json -o results.json\ntvly extract \"https:\u002F\u002Fexample.com\u002Fdocs\" -o docs.md\ntvly crawl \"https:\u002F\u002Fdocs.example.com\" --output-dir .\u002Fdocs\u002F\n```\n\n## Tips\n\n- **Always quote URLs** — shell interprets `?` and `&` as special characters.\n- **Use `--json` for agentic workflows** — every command supports it.\n- **Read from stdin with `-`** — `echo \"query\" | tvly search -`\n- **Exit codes**: 0 = success, 2 = bad input, 3 = auth error, 4 = API error.\n",{"name":5,"description":54,"allowed-tools":55,"compatibility":56},"Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say \"fetch this page\", \"pull the content from\", \"get the page at https:\u002F\u002F\", \"find me articles about\", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.\n","Bash(tvly *)","Requires tavily-cli (`curl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash`) and a Tavily API key from tavily.com.","mine","1e7390741dffd3d5041fca4ebc056071ee3ba137","archives\u002Fuser-installed-skills\u002Ftavily-cli\u002F07984187c040377d\u002Ftavily-cli",5,"https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub","https:\u002F\u002Fgithub.com\u002FEthanYoQ","www.orz.md","Part Marketer, Part AI Explorer.","2026-11-07 14:52:29",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add EthanYoQ\u002FSkill-hub --skill tavily-cli",{"tool":72,"command":73},"bunx","bunx skills add EthanYoQ\u002FSkill-hub --skill tavily-cli",{"tool":75,"command":76},"pnpm","pnpm dlx skills add EthanYoQ\u002FSkill-hub --skill tavily-cli","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Ftavily-cli\u002F07984187c040377d\u002Ftavily-cli\u002FSKILL.md",true,[],[81,108,136,160,178,193],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":88,"publishedAt":49},"01M713CBDSYARG4PXFXK2R2NNN","xhs-pharma-social-listening","Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. Use when the user asks to collect and analyze notes\u002Fcomments about pharma companies, aliases, roles, compliance, medical affairs, or AI topics, then produce a cited and scored sampled-insight report. Includes independent-evidence counting, MediaCrawler batch collection, and CAPTCHA\u002F461 fallback to Agent Reach\u002FOpenCLI.","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fxhs-pharma-social-listening\u002FSKILL.md",[87],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[89,90,91,92,93,94,36,95,96,97,98,99,100,101,102,103,104,105,106,107],"social","xhs pharma social listening","social listening","xhs","medical","counting","collection","batch","analyze","notes","run","opencli","fallback","captcha","agent reach","evidence","for","collect","produce",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":118,"publishedAt":49},"01M713C8Q76ZP0WXXBRAFKS6EE","healthcare-phi-compliance","Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors. Use when code touches PHI or PII in a healthcare system, or when auditing access control, audit trails, or leak vectors.","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fhealthcare-phi-compliance\u002FSKILL.md",[114,115],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":116,"categoryName":117,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000037","律师与法务",[119,120,121,122,123,124,125,126,36,127,33,128,129,130,131,132,105,133,134,135],"healthcare","phi","compliance","healthcare phi compliance","pii","compliance patterns","information","access","encryption","common","audit","data","patterns","Access Control","system","applications","Auditing Access Control",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":143,"publishedAt":49},"01M713C5R2GE43X45T2K75TB76","healthcare-eval-harness","Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures. Use when a healthcare deployment must be gated on patient-safety tests for CDSS accuracy, PHI exposure, and workflow integrity.","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fhealthcare-eval-harness\u002FSKILL.md",[142],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[119,144,145,146,147,148,149,36,150,151,152,153,120,105,154,155,156,157,158,159],"eval","harness","healthcare eval harness","eval harness","clinical","patient","workflow","Evaluation","Safety","integrity","deployment","accuracy","tests","deployments","use","super",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":49},"01M713C2J17S91VYR7A8M696VR","healthcare-emr-patterns","EMR\u002FEHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI.","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fhealthcare-emr-patterns\u002FSKILL.md",[166],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[119,168,131,169,170,93,148,171,36,172,173,174,152,130,175,176,177,105,134,158],"EMR","healthcare emr patterns","decision","workflows","support","clinical decision support","features","ui","as","development",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":185,"publishedAt":49},"01M713BZERTXV0N8X6SW9DDVWZ","healthcare-cdss-patterns","Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity.","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fhealthcare-cdss-patterns\u002FSKILL.md",[184],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[119,131,186,170,148,168,171,36,187,188,172,173,189,177,133,190,158,191,159,192],"healthcare cdss patterns","scoring","interaction","severity","classification","alert","decision support",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":200,"publishedAt":49},"01M713BVK3PQR7V4ZKYGMWMXJD","dxy-task-clarify","用户的请求含糊、缺背景、缺资料说明、缺读者或用途时使用。先用少量带选项的追问把任务问清楚，写成任务卡，用户确认后再执行。尤其适用于医生、科研人员和药企各岗位的工作，例如「帮我分析一下这些数据」「帮我准备明天的拜访」「写个总结」「做个 PPT」「回一下这封邮件」「整理一下会议纪要」「整理一下这些文献」「帮我准备下周的讲课」「写个病例汇报」「帮我写个提示词」。用户说「先问我」「帮我理清需求」「我不知道怎么描述」「我不会问 AI」时也使用。用途、资料、读者都已说清的请求，纯翻译，以及写代码、改代码，不使用。","https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Fskills\u002F10-business-industry\u002Fdxy-task-clarify\u002FSKILL.md",[199],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[201,202,203,204,205,206,207,208],"clarify","dxy task clarify","task","pptx","整理","翻译","数据","总结"]