[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70DD38V1CFF7QCBG3WHE2Z1":3,"skill-same:01M70DD38V1CFF7QCBG3WHE2Z1":86},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":59,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M70DD38V1CFF7QCBG3WHE2Z1","pubmed-search",null,"Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.","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\u002Fpubmed-search\u002Ff3b80442582790ea\u002Fpubmed-search\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"pubmed","pubmed search","search","medical-research","biomedical","natural language","full","integrate","semantic search","semantic-search","research-integration","natural-language-queries","full-text-search","biomedical-literature","literature","text","natural-language","access","medical","projects","2026-11-10 10:12:30",false,"---\r\nname: pubmed-search\r\ndescription: Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.\r\nkeywords:\r\n  - pubmed\r\n  - biomedical-literature\r\n  - medical-research\r\n  - semantic-search\r\n  - natural-language-queries\r\n  - full-text-search\r\n  - research-integration\r\nlicense: MIT\r\n---\r\n\r\n# PubMed Search\r\n\r\nSearch the complete PubMed database of biomedical literature using natural language queries powered by Valyu's semantic search API.\r\n\r\n## Why This Skill is Powerful\r\n\r\n- **No API Parameter Parsing**: Just pass natural language queries directly - no need to construct complex search parameters\r\n- **Semantic Search**: Understands the meaning of your query, not just keyword matching\r\n- **Full-Text Access**: Returns complete article content, not just abstracts\r\n- **Image Links**: Includes figures and images from papers\r\n- **Comprehensive Coverage**: Access to all of PubMed's biomedical literature\r\n\r\n## Requirements\r\n\r\n1. Node.js 18+ (uses built-in fetch)\r\n2. Valyu API key from https:\u002F\u002Fplatform.valyu.ai ($10 free credits)\r\n\r\n## CRITICAL: Script Path Resolution\r\n\r\nThe `scripts\u002Fsearch` commands in this documentation are relative to this skill's installation directory.\r\n\r\nBefore running any command, locate the script using:\r\n\r\n```bash\r\nPUBMED_SCRIPT=$(find ~\u002F.claude\u002Fplugins\u002Fcache -name \"search\" -path \"*\u002Fpubmed-search\u002F*\u002Fscripts\u002F*\" -type f 2>\u002Fdev\u002Fnull | head -1)\r\n```\r\n\r\nThen use the full path for all commands:\r\n```bash\r\n$PUBMED_SCRIPT \"CRISPR gene editing\" 15\r\n```\r\n\r\n## API Key Setup Flow\r\n\r\nWhen you run a search and receive `\"setup_required\": true`, follow this flow:\r\n\r\n1. **Ask the user for their API key:**\r\n   \"To search PubMed, I need your Valyu API key. Get one free ($10 credits) at https:\u002F\u002Fplatform.valyu.ai\"\r\n\r\n2. **Once the user provides the key, run:**\r\n   ```bash\r\n   scripts\u002Fsearch setup \u003Capi-key>\r\n   ```\r\n\r\n3. **Retry the original search.**\r\n\r\n### Example Flow:\r\n```\r\nUser: Search PubMed for CAR-T cell therapy advances\r\n→ Response: {\"success\": false, \"setup_required\": true, ...}\r\n→ Claude asks: \"Please provide your Valyu API key from https:\u002F\u002Fplatform.valyu.ai\"\r\n→ User: \"val_abc123...\"\r\n→ Claude runs: scripts\u002Fsearch setup val_abc123...\r\n→ Response: {\"success\": true, \"type\": \"setup\", ...}\r\n→ Claude retries: scripts\u002Fsearch \"CAR-T cell therapy advances\" 10\r\n→ Success!\r\n```\r\n\r\n## Usage\r\n\r\n### Basic Search\r\n\r\n```bash\r\nscripts\u002Fsearch \"your natural language query\" [maxResults]\r\n```\r\n\r\n### Examples\r\n\r\n```bash\r\n# Search for recent COVID-19 research\r\nscripts\u002Fsearch \"COVID-19 vaccine efficacy studies\" 15\r\n\r\n# Find papers on a specific gene\r\nscripts\u002Fsearch \"BRCA1 mutations and breast cancer risk\" 20\r\n\r\n# Search for treatment approaches\r\nscripts\u002Fsearch \"immunotherapy for melanoma clinical trials\" 10\r\n\r\n# Drug mechanism research\r\nscripts\u002Fsearch \"mechanism of action of metformin in type 2 diabetes\" 12\r\n```\r\n\r\n### Setup Command\r\n\r\n```bash\r\nscripts\u002Fsearch setup \u003Capi-key>\r\n```\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"success\": true,\r\n  \"type\": \"pubmed_search\",\r\n  \"query\": \"CRISPR gene editing\",\r\n  \"result_count\": 10,\r\n  \"results\": [\r\n    {\r\n      \"title\": \"Article Title\",\r\n      \"url\": \"https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F...\",\r\n      \"content\": \"Full article text with figures...\",\r\n      \"source\": \"pubmed\",\r\n      \"relevance_score\": 0.95,\r\n      \"images\": [\"https:\u002F\u002Fexample.com\u002Ffigure1.jpg\"]\r\n    }\r\n  ],\r\n  \"cost\": 0.025\r\n}\r\n```\r\n\r\n## Processing Results\r\n\r\n### With jq\r\n\r\n```bash\r\n# Get article titles\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].title'\r\n\r\n# Get URLs\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].url'\r\n\r\n# Extract full content\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].content'\r\n```\r\n\r\n## Common Use Cases\r\n\r\n### Literature Review\r\n\r\n```bash\r\n# Find all papers on a topic\r\nscripts\u002Fsearch \"mechanisms of aging in humans\" 50\r\n```\r\n\r\n### Drug Discovery\r\n\r\n```bash\r\n# Search for drug targets\r\nscripts\u002Fsearch \"novel targets for Alzheimer's disease treatment\" 20\r\n```\r\n\r\n### Clinical Research\r\n\r\n```bash\r\n# Find clinical trial results\r\nscripts\u002Fsearch \"phase 3 trials for rheumatoid arthritis biologics\" 15\r\n```\r\n\r\n### Gene Function\r\n\r\n```bash\r\n# Research gene function\r\nscripts\u002Fsearch \"role of TP53 in cancer development\" 25\r\n```\r\n\r\n## Error Handling\r\n\r\nAll commands return JSON with `success` field:\r\n\r\n```json\r\n{\r\n  \"success\": false,\r\n  \"error\": \"Error message\"\r\n}\r\n```\r\n\r\nExit codes:\r\n- `0` - Success\r\n- `1` - Error (check JSON for details)\r\n\r\n## API Endpoint\r\n\r\n- Base URL: `https:\u002F\u002Fapi.valyu.ai\u002Fv1`\r\n- Endpoint: `\u002Fsearch`\r\n- Authentication: X-API-Key header\r\n\r\n## Architecture\r\n\r\n```\r\nscripts\u002F\r\n├── search          # Bash wrapper\r\n└── search.mjs      # Node.js CLI\r\n```\r\n\r\nDirect API calls using Node.js built-in `fetch()`, zero external dependencies.\r\n\r\n## Adding to Your Project\r\n\r\nIf you're building an AI project and want to integrate PubMed search directly into your application, use the Valyu SDK:\r\n\r\n### Python Integration\r\n\r\n```python\r\nfrom valyu import Valyu\r\n\r\nclient = Valyu(api_key=\"your-api-key\")\r\n\r\nresponse = client.search(\r\n    query=\"immunotherapy for melanoma\",\r\n    included_sources=[\"valyu\u002Fvalyu-pubmed\"],\r\n    max_results=20\r\n)\r\n\r\nfor result in response[\"results\"]:\r\n    print(f\"Title: {result['title']}\")\r\n    print(f\"URL: {result['url']}\")\r\n    print(f\"Content: {result['content'][:500]}...\")\r\n```\r\n\r\n### TypeScript Integration\r\n\r\n```typescript\r\nimport { Valyu } from \"valyu-js\";\r\n\r\nconst client = new Valyu(\"your-api-key\");\r\n\r\nconst response = await client.search({\r\n  query: \"immunotherapy for melanoma\",\r\n  includedSources: [\"valyu\u002Fvalyu-pubmed\"],\r\n  maxResults: 20\r\n});\r\n\r\nresponse.results.forEach((result) => {\r\n  console.log(`Title: ${result.title}`);\r\n  console.log(`URL: ${result.url}`);\r\n  console.log(`Content: ${result.content.substring(0, 500)}...`);\r\n});\r\n```\r\n\r\nSee the [Valyu docs](https:\u002F\u002Fdocs.valyu.ai) for full integration examples and SDK reference.\r\n","# PubMed Search\r\n\r\nSearch the complete PubMed database of biomedical literature using natural language queries powered by Valyu's semantic search API.\r\n\r\n## Why This Skill is Powerful\r\n\r\n- **No API Parameter Parsing**: Just pass natural language queries directly - no need to construct complex search parameters\r\n- **Semantic Search**: Understands the meaning of your query, not just keyword matching\r\n- **Full-Text Access**: Returns complete article content, not just abstracts\r\n- **Image Links**: Includes figures and images from papers\r\n- **Comprehensive Coverage**: Access to all of PubMed's biomedical literature\r\n\r\n## Requirements\r\n\r\n1. Node.js 18+ (uses built-in fetch)\r\n2. Valyu API key from https:\u002F\u002Fplatform.valyu.ai ($10 free credits)\r\n\r\n## CRITICAL: Script Path Resolution\r\n\r\nThe `scripts\u002Fsearch` commands in this documentation are relative to this skill's installation directory.\r\n\r\nBefore running any command, locate the script using:\r\n\r\n```bash\r\nPUBMED_SCRIPT=$(find ~\u002F.claude\u002Fplugins\u002Fcache -name \"search\" -path \"*\u002Fpubmed-search\u002F*\u002Fscripts\u002F*\" -type f 2>\u002Fdev\u002Fnull | head -1)\r\n```\r\n\r\nThen use the full path for all commands:\r\n```bash\r\n$PUBMED_SCRIPT \"CRISPR gene editing\" 15\r\n```\r\n\r\n## API Key Setup Flow\r\n\r\nWhen you run a search and receive `\"setup_required\": true`, follow this flow:\r\n\r\n1. **Ask the user for their API key:**\r\n   \"To search PubMed, I need your Valyu API key. Get one free ($10 credits) at https:\u002F\u002Fplatform.valyu.ai\"\r\n\r\n2. **Once the user provides the key, run:**\r\n   ```bash\r\n   scripts\u002Fsearch setup \u003Capi-key>\r\n   ```\r\n\r\n3. **Retry the original search.**\r\n\r\n### Example Flow:\r\n```\r\nUser: Search PubMed for CAR-T cell therapy advances\r\n→ Response: {\"success\": false, \"setup_required\": true, ...}\r\n→ Claude asks: \"Please provide your Valyu API key from https:\u002F\u002Fplatform.valyu.ai\"\r\n→ User: \"val_abc123...\"\r\n→ Claude runs: scripts\u002Fsearch setup val_abc123...\r\n→ Response: {\"success\": true, \"type\": \"setup\", ...}\r\n→ Claude retries: scripts\u002Fsearch \"CAR-T cell therapy advances\" 10\r\n→ Success!\r\n```\r\n\r\n## Usage\r\n\r\n### Basic Search\r\n\r\n```bash\r\nscripts\u002Fsearch \"your natural language query\" [maxResults]\r\n```\r\n\r\n### Examples\r\n\r\n```bash\r\n# Search for recent COVID-19 research\r\nscripts\u002Fsearch \"COVID-19 vaccine efficacy studies\" 15\r\n\r\n# Find papers on a specific gene\r\nscripts\u002Fsearch \"BRCA1 mutations and breast cancer risk\" 20\r\n\r\n# Search for treatment approaches\r\nscripts\u002Fsearch \"immunotherapy for melanoma clinical trials\" 10\r\n\r\n# Drug mechanism research\r\nscripts\u002Fsearch \"mechanism of action of metformin in type 2 diabetes\" 12\r\n```\r\n\r\n### Setup Command\r\n\r\n```bash\r\nscripts\u002Fsearch setup \u003Capi-key>\r\n```\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"success\": true,\r\n  \"type\": \"pubmed_search\",\r\n  \"query\": \"CRISPR gene editing\",\r\n  \"result_count\": 10,\r\n  \"results\": [\r\n    {\r\n      \"title\": \"Article Title\",\r\n      \"url\": \"https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F...\",\r\n      \"content\": \"Full article text with figures...\",\r\n      \"source\": \"pubmed\",\r\n      \"relevance_score\": 0.95,\r\n      \"images\": [\"https:\u002F\u002Fexample.com\u002Ffigure1.jpg\"]\r\n    }\r\n  ],\r\n  \"cost\": 0.025\r\n}\r\n```\r\n\r\n## Processing Results\r\n\r\n### With jq\r\n\r\n```bash\r\n# Get article titles\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].title'\r\n\r\n# Get URLs\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].url'\r\n\r\n# Extract full content\r\nscripts\u002Fsearch \"query\" 10 | jq -r '.results[].content'\r\n```\r\n\r\n## Common Use Cases\r\n\r\n### Literature Review\r\n\r\n```bash\r\n# Find all papers on a topic\r\nscripts\u002Fsearch \"mechanisms of aging in humans\" 50\r\n```\r\n\r\n### Drug Discovery\r\n\r\n```bash\r\n# Search for drug targets\r\nscripts\u002Fsearch \"novel targets for Alzheimer's disease treatment\" 20\r\n```\r\n\r\n### Clinical Research\r\n\r\n```bash\r\n# Find clinical trial results\r\nscripts\u002Fsearch \"phase 3 trials for rheumatoid arthritis biologics\" 15\r\n```\r\n\r\n### Gene Function\r\n\r\n```bash\r\n# Research gene function\r\nscripts\u002Fsearch \"role of TP53 in cancer development\" 25\r\n```\r\n\r\n## Error Handling\r\n\r\nAll commands return JSON with `success` field:\r\n\r\n```json\r\n{\r\n  \"success\": false,\r\n  \"error\": \"Error message\"\r\n}\r\n```\r\n\r\nExit codes:\r\n- `0` - Success\r\n- `1` - Error (check JSON for details)\r\n\r\n## API Endpoint\r\n\r\n- Base URL: `https:\u002F\u002Fapi.valyu.ai\u002Fv1`\r\n- Endpoint: `\u002Fsearch`\r\n- Authentication: X-API-Key header\r\n\r\n## Architecture\r\n\r\n```\r\nscripts\u002F\r\n├── search          # Bash wrapper\r\n└── search.mjs      # Node.js CLI\r\n```\r\n\r\nDirect API calls using Node.js built-in `fetch()`, zero external dependencies.\r\n\r\n## Adding to Your Project\r\n\r\nIf you're building an AI project and want to integrate PubMed search directly into your application, use the Valyu SDK:\r\n\r\n### Python Integration\r\n\r\n```python\r\nfrom valyu import Valyu\r\n\r\nclient = Valyu(api_key=\"your-api-key\")\r\n\r\nresponse = client.search(\r\n    query=\"immunotherapy for melanoma\",\r\n    included_sources=[\"valyu\u002Fvalyu-pubmed\"],\r\n    max_results=20\r\n)\r\n\r\nfor result in response[\"results\"]:\r\n    print(f\"Title: {result['title']}\")\r\n    print(f\"URL: {result['url']}\")\r\n    print(f\"Content: {result['content'][:500]}...\")\r\n```\r\n\r\n### TypeScript Integration\r\n\r\n```typescript\r\nimport { Valyu } from \"valyu-js\";\r\n\r\nconst client = new Valyu(\"your-api-key\");\r\n\r\nconst response = await client.search({\r\n  query: \"immunotherapy for melanoma\",\r\n  includedSources: [\"valyu\u002Fvalyu-pubmed\"],\r\n  maxResults: 20\r\n});\r\n\r\nresponse.results.forEach((result) => {\r\n  console.log(`Title: ${result.title}`);\r\n  console.log(`URL: ${result.url}`);\r\n  console.log(`Content: ${result.content.substring(0, 500)}...`);\r\n});\r\n```\r\n\r\nSee the [Valyu docs](https:\u002F\u002Fdocs.valyu.ai) for full integration examples and SDK reference.\r\n",{"name":5,"license":15,"keywords":52,"description":7},[27,40,30,36,38,39,37],"mine","1e7390741dffd3d5041fca4ebc056071ee3ba137","archives\u002Fuser-installed-skills\u002Fpubmed-search\u002Ff3b80442582790ea\u002Fpubmed-search",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":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add EthanYoQ\u002FSkill-hub --skill pubmed-search",{"tool":68,"command":69},"bunx","bunx skills add EthanYoQ\u002FSkill-hub --skill pubmed-search",{"tool":71,"command":72},"pnpm","pnpm dlx skills add EthanYoQ\u002FSkill-hub --skill pubmed-search","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Fpubmed-search\u002Ff3b80442582790ea\u002Fpubmed-search\u002FSKILL.md",true,[76,82],{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"scripts\u002Fsearch","SCRIPT","脚本",408,"https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Fpubmed-search\u002Ff3b80442582790ea\u002Fpubmed-search\u002Fscripts\u002Fsearch",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Fsearch.mjs",3812,"https:\u002F\u002Fgithub.com\u002FEthanYoQ\u002FSkill-hub\u002Fblob\u002Fmine\u002Farchives\u002Fuser-installed-skills\u002Fpubmed-search\u002Ff3b80442582790ea\u002Fpubmed-search\u002Fscripts\u002Fsearch.mjs",[87,114,144,168,186,201],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":94,"publishedAt":47},"01M713CBDSYARG4PXFXK2R2NNN","xhs-pharma-social-listening","Run evidence-disciplined Xiaohongshu social listening for foreign pharma employee pain points. 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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",[93],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[95,96,97,98,45,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113],"social","xhs pharma social listening","social listening","xhs","counting","when","collection","batch","analyze","notes","run","opencli","fallback","captcha","agent reach","evidence","for","collect","produce",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":126,"publishedAt":47},"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",[120,121],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[127,128,129,130,131,132,133,44,100,134,135,136,137,138,139,140,111,141,142,143],"healthcare","phi","compliance","healthcare phi compliance","pii","compliance patterns","information","encryption","code","common","audit","data","patterns","Access Control","system","applications","Auditing Access Control",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":151,"publishedAt":47},"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",[150],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[127,152,153,154,155,156,157,100,158,159,160,161,128,111,162,163,164,165,166,167],"eval","harness","healthcare eval harness","eval harness","clinical","patient","workflow","Evaluation","Safety","integrity","deployment","accuracy","tests","deployments","use","super",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":175,"publishedAt":47},"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",[174],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[127,176,139,177,178,45,156,179,100,180,181,182,160,138,183,184,185,111,142,166],"EMR","healthcare emr patterns","decision","workflows","support","clinical decision support","features","ui","as","development",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":193,"publishedAt":47},"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",[192],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[127,139,194,178,156,176,179,100,195,196,180,181,197,185,141,198,166,199,167,200],"healthcare cdss patterns","scoring","interaction","severity","classification","alert","decision support",{"skillNo":202,"name":203,"nameZh":6,"description":204,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":205,"categories":206,"keywords":208,"publishedAt":47},"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",[207],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[209,210,211,212,213,214,215,216],"clarify","dxy task clarify","task","pptx","整理","翻译","数据","总结"]