[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70CT8XFVBWSBZ5KGN2S4PPE":3,"skill-same:01M70CT8XFVBWSBZ5KGN2S4PPE":52},{"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":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":29,"commitSha":30,"skillDirectory":31,"forksCount":32,"repositoryHtmlUrl":33,"repositoryHomepageUrl":6,"ownerHtmlUrl":34,"ownerBlogUrl":35,"ownerDescription":36,"updatedAt":37,"install":38,"resources":51},"01M70CT8XFVBWSBZ5KGN2S4PPE","lark-skill-maker",null,"创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。","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\u002Flark-skill-maker\u002F49186cdcfc9b66c0\u002Flark-skill-maker\u002FSKILL.md",[],[],"2026-11-10 10:12:30",false,"---\nname: lark-skill-maker\nversion: 1.0.0\ndescription: \"创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n# Skill Maker\n\n基于 lark-cli 创建新 Skill。Skill = 一份 `SKILL.md`，教 AI 用 CLI 命令完成任务。\n\n## CLI 核心能力\n\n```bash\nlark-cli \u003Cservice> \u003Cresource> \u003Cmethod>          # 已注册 API\nlark-cli \u003Cservice> +\u003Cverb>                      # Shortcut（高级封装）\nlark-cli api \u003CMETHOD> \u003Cpath> [--data\u002F--params]  # 任意飞书 OpenAPI\nlark-cli schema \u003Cservice.resource.method>       # 查参数定义\n```\n\n优先级：Shortcut > 已注册 API > `api` 裸调。\n\n## 调研 API\n\n```bash\n# 1. 查看已有的 API 资源和 Shortcut\nlark-cli \u003Cservice> --help\n\n# 2. 查参数定义\nlark-cli schema \u003Cservice.resource.method>\n\n# 3. 未注册的 API，用 api 直接调用\nlark-cli api GET \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms --params '{\"page_size\":\"50\"}'\nlark-cli api POST \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms\u002Fsearch --data '{\"query\":\"5F\"}'\n```\n\n如果以上命令无法覆盖需求（CLI 没有对应的已注册 API 或 Shortcut），使用 [lark-openapi-explorer](..\u002Flark-openapi-explorer\u002FSKILL.md) 从飞书官方文档库逐层挖掘原生 OpenAPI 接口，获取完整的方法、路径、参数和权限信息，再通过 `lark-cli api` 裸调完成任务。\n\n通过以上流程确定需要哪些 API、参数和 scope。\n\n## SKILL.md 模板\n\n文件放在 `skills\u002Flark-\u003Cname>\u002FSKILL.md`：\n\n```markdown\n---\nname: lark-\u003Cname>\nversion: 1.0.0\ndescription: \"\u003C功能描述>。当用户需要\u003C触发场景>时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n\n# \u003C标题>\n\n> **前置条件：** 先阅读 [`..\u002Flark-shared\u002FSKILL.md`](..\u002Flark-shared\u002FSKILL.md)。\n\n## 命令\n\n\\```bash\n# 单步操作\nlark-cli api POST \u002Fopen-apis\u002Fxxx --data '{...}'\n\n# 多步编排：说明步骤间数据传递\n# Step 1: ...（记录返回的 xxx_id）\n# Step 2: 使用 Step 1 的 xxx_id\n\\```\n\n## 权限\n\n| 操作 | 所需 scope |\n|------|-----------|\n| xxx | `scope:name` |\n```\n\n## 关键原则\n\n- **description 决定触发** — 包含功能关键词 + \"当用户需要...时使用\"\n- **认证** — 说明所需 scope，登录用 `lark-cli auth login --domain \u003Cname>`\n- **安全** — 写入操作前确认用户意图，建议 `--dry-run` 预览\n- **编排** — 说明数据传递、失败回滚、可并行步骤\n","# Skill Maker\n\n基于 lark-cli 创建新 Skill。Skill = 一份 `SKILL.md`，教 AI 用 CLI 命令完成任务。\n\n## CLI 核心能力\n\n```bash\nlark-cli \u003Cservice> \u003Cresource> \u003Cmethod>          # 已注册 API\nlark-cli \u003Cservice> +\u003Cverb>                      # Shortcut（高级封装）\nlark-cli api \u003CMETHOD> \u003Cpath> [--data\u002F--params]  # 任意飞书 OpenAPI\nlark-cli schema \u003Cservice.resource.method>       # 查参数定义\n```\n\n优先级：Shortcut > 已注册 API > `api` 裸调。\n\n## 调研 API\n\n```bash\n# 1. 查看已有的 API 资源和 Shortcut\nlark-cli \u003Cservice> --help\n\n# 2. 查参数定义\nlark-cli schema \u003Cservice.resource.method>\n\n# 3. 未注册的 API，用 api 直接调用\nlark-cli api GET \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms --params '{\"page_size\":\"50\"}'\nlark-cli api POST \u002Fopen-apis\u002Fvc\u002Fv1\u002Frooms\u002Fsearch --data '{\"query\":\"5F\"}'\n```\n\n如果以上命令无法覆盖需求（CLI 没有对应的已注册 API 或 Shortcut），使用 [lark-openapi-explorer](..\u002Flark-openapi-explorer\u002FSKILL.md) 从飞书官方文档库逐层挖掘原生 OpenAPI 接口，获取完整的方法、路径、参数和权限信息，再通过 `lark-cli api` 裸调完成任务。\n\n通过以上流程确定需要哪些 API、参数和 scope。\n\n## SKILL.md 模板\n\n文件放在 `skills\u002Flark-\u003Cname>\u002FSKILL.md`：\n\n```markdown\n---\nname: lark-\u003Cname>\nversion: 1.0.0\ndescription: \"\u003C功能描述>。当用户需要\u003C触发场景>时使用。\"\nmetadata:\n  requires:\n    bins: [\"lark-cli\"]\n---\n\n\n# \u003C标题>\n\n> **前置条件：** 先阅读 [`..\u002Flark-shared\u002FSKILL.md`](..\u002Flark-shared\u002FSKILL.md)。\n\n## 命令\n\n\\```bash\n# 单步操作\nlark-cli api POST \u002Fopen-apis\u002Fxxx --data '{...}'\n\n# 多步编排：说明步骤间数据传递\n# Step 1: ...（记录返回的 xxx_id）\n# Step 2: 使用 Step 1 的 xxx_id\n\\```\n\n## 权限\n\n| 操作 | 所需 scope |\n|------|-----------|\n| xxx | `scope:name` |\n```\n\n## 关键原则\n\n- **description 决定触发** — 包含功能关键词 + \"当用户需要...时使用\"\n- **认证** — 说明所需 scope，登录用 `lark-cli auth login --domain \u003Cname>`\n- **安全** — 写入操作前确认用户意图，建议 `--dry-run` 预览\n- **编排** — 说明数据传递、失败回滚、可并行步骤\n",{"name":5,"version":24,"metadata":25,"description":7},"1.0.0",{"requires":26},{"bins":27},[28],"lark-cli","mine","1e7390741dffd3d5041fca4ebc056071ee3ba137","archives\u002Fuser-installed-skills\u002Flark-skill-maker\u002F49186cdcfc9b66c0\u002Flark-skill-maker",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":39,"prompt":49,"zipAvailable":50},[40,43,46],{"tool":41,"command":42},"npx","npx skills add EthanYoQ\u002FSkill-hub --skill lark-skill-maker",{"tool":44,"command":45},"bunx","bunx skills add EthanYoQ\u002FSkill-hub --skill lark-skill-maker",{"tool":47,"command":48},"pnpm","pnpm dlx skills add EthanYoQ\u002FSkill-hub --skill lark-skill-maker","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Flark-skill-maker\u002F49186cdcfc9b66c0\u002Flark-skill-maker\u002FSKILL.md",true,[],[53,85,116,140,158,173],{"skillNo":54,"name":55,"nameZh":6,"description":56,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":57,"categories":58,"keywords":64,"publishedAt":19},"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",[59],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84],"social","xhs pharma social listening","social listening","xhs","medical","counting","when","collection","batch","analyze","notes","run","opencli","fallback","captcha","agent reach","evidence","for","collect","produce",{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":97,"publishedAt":19},"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",[91,92],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},{"categoryNo":93,"categoryName":94,"taxonomyType":95,"taxonomyTypeDesc":96},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[98,99,100,101,102,103,104,105,71,106,107,108,109,110,111,112,82,113,114,115],"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":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":123,"publishedAt":19},"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",[122],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},[98,124,125,126,127,128,129,71,130,131,132,133,99,82,134,135,136,137,138,139],"eval","harness","healthcare eval harness","eval harness","clinical","patient","workflow","Evaluation","Safety","integrity","deployment","accuracy","tests","deployments","use","super",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":147,"publishedAt":19},"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",[146],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},[98,148,111,149,150,69,128,151,71,152,153,154,132,110,155,156,157,82,114,138],"EMR","healthcare emr patterns","decision","workflows","support","clinical decision support","features","ui","as","development",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":19},"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",[164],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},[98,111,166,150,128,148,151,71,167,168,152,153,169,157,113,170,138,171,139,172],"healthcare cdss patterns","scoring","interaction","severity","classification","alert","decision support",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":180,"publishedAt":19},"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",[179],{"categoryNo":60,"categoryName":61,"taxonomyType":62,"taxonomyTypeDesc":63},[181,182,183,184,185,186,187,188],"clarify","dxy task clarify","task","pptx","整理","翻译","数据","总结"]