[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70DMKB43T0PP0TC6QJ7J9QH":3,"skill-same:01M70DMKB43T0PP0TC6QJ7J9QH":74},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M70DMKB43T0PP0TC6QJ7J9QH","tavily-extract",null,"Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.","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-extract\u002Fa5abf2cd152a4dd0\u002Ftavily-extract\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"tavily extract","extract","tavily","page","for","chunking","pull","returns","tavily cli","read","at","markdown","cli","text","Bash","query","when","clean","up","get","2026-11-10 10:12:30",false,"---\nname: tavily-extract\ndescription: |\n  Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.\nallowed-tools: Bash(tvly *)\n---\n\n# tavily extract\n\nExtract clean markdown or text content from one or more URLs.\n\n## Before running any command\n\nIf `tvly` is not found on PATH, install it first:\n\n```bash\ncurl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash && tvly login\n```\n\nDo not skip this step or fall back to other tools.\n\nSee [tavily-cli](..\u002Ftavily-cli\u002FSKILL.md) for alternative install methods and auth options.\n\n## When to use\n\n- You have a specific URL and want its content\n- You need text from JavaScript-rendered pages\n- Step 2 in the [workflow](..\u002Ftavily-cli\u002FSKILL.md): search → **extract** → map → crawl → research\n\n## Quick start\n\n```bash\n# Single URL\ntvly extract \"https:\u002F\u002Fexample.com\u002Farticle\" --json\n\n# Multiple URLs\ntvly extract \"https:\u002F\u002Fexample.com\u002Fpage1\" \"https:\u002F\u002Fexample.com\u002Fpage2\" --json\n\n# Query-focused extraction (returns relevant chunks only)\ntvly extract \"https:\u002F\u002Fexample.com\u002Fdocs\" --query \"authentication API\" --chunks-per-source 3 --json\n\n# JS-heavy pages\ntvly extract \"https:\u002F\u002Fapp.example.com\" --extract-depth advanced --json\n\n# Save to file\ntvly extract \"https:\u002F\u002Fexample.com\u002Farticle\" -o article.md\n```\n\n## Options\n\n| Option | Description |\n|--------|-------------|\n| `--query` | Rerank chunks by relevance to this query |\n| `--chunks-per-source` | Chunks per URL (1-5, requires `--query`) |\n| `--extract-depth` | `basic` (default) or `advanced` (for JS pages) |\n| `--format` | `markdown` (default) or `text` |\n| `--include-images` | Include image URLs |\n| `--timeout` | Max wait time (1-60 seconds) |\n| `-o, --output` | Save output to file |\n| `--json` | Structured JSON output |\n\n## Extract depth\n\n| Depth | When to use |\n|-------|-------------|\n| `basic` | Simple pages, fast — try this first |\n| `advanced` | JS-rendered SPAs, dynamic content, tables |\n\n## Tips\n\n- **Max 20 URLs per request** — batch larger lists into multiple calls.\n- **Use `--query` + `--chunks-per-source`** to get only relevant content instead of full pages.\n- **Try `basic` first**, fall back to `advanced` if content is missing.\n- **Set `--timeout`** for slow pages (up to 60s).\n- If search results already contain the content you need (via `--include-raw-content`), skip the extract step.\n\n## See also\n\n- [tavily-search](..\u002Ftavily-search\u002FSKILL.md) — find pages when you don't have a URL\n- [tavily-crawl](..\u002Ftavily-crawl\u002FSKILL.md) — extract content from many pages on a site\n","# tavily extract\n\nExtract clean markdown or text content from one or more URLs.\n\n## Before running any command\n\nIf `tvly` is not found on PATH, install it first:\n\n```bash\ncurl -fsSL https:\u002F\u002Fcli.tavily.com\u002Finstall.sh | bash && tvly login\n```\n\nDo not skip this step or fall back to other tools.\n\nSee [tavily-cli](..\u002Ftavily-cli\u002FSKILL.md) for alternative install methods and auth options.\n\n## When to use\n\n- You have a specific URL and want its content\n- You need text from JavaScript-rendered pages\n- Step 2 in the [workflow](..\u002Ftavily-cli\u002FSKILL.md): search → **extract** → map → crawl → research\n\n## Quick start\n\n```bash\n# Single URL\ntvly extract \"https:\u002F\u002Fexample.com\u002Farticle\" --json\n\n# Multiple URLs\ntvly extract \"https:\u002F\u002Fexample.com\u002Fpage1\" \"https:\u002F\u002Fexample.com\u002Fpage2\" --json\n\n# Query-focused extraction (returns relevant chunks only)\ntvly extract \"https:\u002F\u002Fexample.com\u002Fdocs\" --query \"authentication API\" --chunks-per-source 3 --json\n\n# JS-heavy pages\ntvly extract \"https:\u002F\u002Fapp.example.com\" --extract-depth advanced --json\n\n# Save to file\ntvly extract \"https:\u002F\u002Fexample.com\u002Farticle\" -o article.md\n```\n\n## Options\n\n| Option | Description |\n|--------|-------------|\n| `--query` | Rerank chunks by relevance to this query |\n| `--chunks-per-source` | Chunks per URL (1-5, requires `--query`) |\n| `--extract-depth` | `basic` (default) or `advanced` (for JS pages) |\n| `--format` | `markdown` (default) or `text` |\n| `--include-images` | Include image URLs |\n| `--timeout` | Max wait time (1-60 seconds) |\n| `-o, --output` | Save output to file |\n| `--json` | Structured JSON output |\n\n## Extract depth\n\n| Depth | When to use |\n|-------|-------------|\n| `basic` | Simple pages, fast — try this first |\n| `advanced` | JS-rendered SPAs, dynamic content, tables |\n\n## Tips\n\n- **Max 20 URLs per request** — batch larger lists into multiple calls.\n- **Use `--query` + `--chunks-per-source`** to get only relevant content instead of full pages.\n- **Try `basic` first**, fall back to `advanced` if content is missing.\n- **Set `--timeout`** for slow pages (up to 60s).\n- If search results already contain the content you need (via `--include-raw-content`), skip the extract step.\n\n## See also\n\n- [tavily-search](..\u002Ftavily-search\u002FSKILL.md) — find pages when you don't have a URL\n- [tavily-crawl](..\u002Ftavily-crawl\u002FSKILL.md) — extract content from many pages on a site\n",{"name":5,"description":49,"allowed-tools":50},"Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.\n","Bash(tvly *)","mine","1e7390741dffd3d5041fca4ebc056071ee3ba137","archives\u002Fuser-installed-skills\u002Ftavily-extract\u002Fa5abf2cd152a4dd0\u002Ftavily-extract",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":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add EthanYoQ\u002FSkill-hub --skill tavily-extract",{"tool":66,"command":67},"bunx","bunx skills add EthanYoQ\u002FSkill-hub --skill tavily-extract",{"tool":69,"command":70},"pnpm","pnpm dlx skills add EthanYoQ\u002FSkill-hub --skill tavily-extract","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Ftavily-extract\u002Fa5abf2cd152a4dd0\u002Ftavily-extract\u002FSKILL.md",true,[],[75,101,132,156,174,189],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":82,"publishedAt":44},"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",[81],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[83,84,85,86,87,88,40,89,90,91,92,93,94,95,96,97,98,28,99,100],"social","xhs pharma social listening","social listening","xhs","medical","counting","collection","batch","analyze","notes","run","opencli","fallback","captcha","agent reach","evidence","collect","produce",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":113,"publishedAt":44},"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",[107,108],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[114,115,116,117,118,119,120,121,40,122,123,124,125,126,127,128,28,129,130,131],"healthcare","phi","compliance","healthcare phi compliance","pii","compliance patterns","information","access","encryption","code","common","audit","data","patterns","Access Control","system","applications","Auditing Access Control",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":139,"publishedAt":44},"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",[138],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[114,140,141,142,143,144,145,40,146,147,148,149,115,28,150,151,152,153,154,155],"eval","harness","healthcare eval harness","eval harness","clinical","patient","workflow","Evaluation","Safety","integrity","deployment","accuracy","tests","deployments","use","super",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":163,"publishedAt":44},"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",[162],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[114,164,127,165,166,87,144,167,40,168,169,170,148,126,171,172,173,28,130,154],"EMR","healthcare emr patterns","decision","workflows","support","clinical decision support","features","ui","as","development",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":181,"publishedAt":44},"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",[180],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[114,127,182,166,144,164,167,40,183,184,168,169,185,173,129,186,154,187,155,188],"healthcare cdss patterns","scoring","interaction","severity","classification","alert","decision support",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":44},"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",[195],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[197,198,199,200,201,202,203,204],"clarify","dxy task clarify","task","pptx","整理","翻译","数据","总结"]