[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M754S5HN65W405TP8EDC9WN5":3,"skill-same:01M754S5HN65W405TP8EDC9WN5":49},{"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":5,"forksCount":14,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":33,"ownerDescription":6,"updatedAt":34,"install":35,"resources":48},"01M754S5HN65W405TP8EDC9WN5","openevidence-core-workflow-b",null,"Execute OpenEvidence DeepConsult workflow for comprehensive medical research.\nUse when implementing deep research synthesis, complex clinical questions,\nor when physicians need extensive literature review.\nTrigger with phrases like \"openevidence deepconsult\", \"deep research\",\n\"comprehensive evidence\", \"literature synthesis\".","SamuelChien\u002Fmega-skills-collection","SamuelChien","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F4652114?v=4","01M74KK34WVHA0P5ZYSJRDDFMG","Samuel Chien","01M74KK35FQN1N9VZ9EPTH3P2S",0,"MIT","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fopenevidence-core-workflow-b\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: openevidence-core-workflow-b\ndescription: |\n  Execute OpenEvidence DeepConsult workflow for comprehensive medical research.\n  Use when implementing deep research synthesis, complex clinical questions,\n  or when physicians need extensive literature review.\n  Trigger with phrases like \"openevidence deepconsult\", \"deep research\",\n  \"comprehensive evidence\", \"literature synthesis\".\nallowed-tools: Read, Write, Edit, Bash(npm:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# OpenEvidence Core Workflow B: DeepConsult Research\n\n## Overview\nExecute comprehensive medical evidence synthesis using OpenEvidence DeepConsult API. Build multi-source literature reviews, generate evidence summaries with confidence levels, and create structured clinical decision support outputs.\n\n## Prerequisites\n- OpenEvidence API key with DeepConsult access\n- Understanding of medical evidence hierarchies\n- Familiarity with clinical question formats (PICO)\n- Output template for clinical summaries\n\n## Instructions\n\n### Step 1: Structure Clinical Questions (PICO Format)\n```typescript\ninterface ClinicalQuestion {\n  population: string;     \u002F\u002F Patient population\n  intervention: string;   \u002F\u002F Treatment or exposure\n  comparison?: string;    \u002F\u002F Alternative treatment\n  outcome: string;        \u002F\u002F Desired outcome\n  studyType?: string;     \u002F\u002F RCT, meta-analysis, cohort\n}\n\nfunction formatPICOQuery(q: ClinicalQuestion): string {\n  let query = `In ${q.population}, does ${q.intervention}`;\n  if (q.comparison) query += ` compared to ${q.comparison}`;\n  query += ` improve ${q.outcome}?`;\n  return query;\n}\n\n\u002F\u002F Example\nconst question: ClinicalQuestion = {\n  population: 'adults with type 2 diabetes',\n  intervention: 'GLP-1 receptor agonists',\n  comparison: 'DPP-4 inhibitors',\n  outcome: 'cardiovascular outcomes',\n};\n```\n\n### Step 2: Execute DeepConsult Query\n```typescript\nconst OPENEVIDENCE_API = 'https:\u002F\u002Fapi.openevidence.com\u002Fv1';\n\nasync function deepConsult(query: string, options?: {\n  maxSources?: number;\n  evidenceLevel?: 'all' | 'high-quality' | 'rct-only';\n  recencyYears?: number;\n}) {\n  const response = await fetch(`${OPENEVIDENCE_API}\u002Fdeepconsult`, {\n    method: 'POST',\n    headers: {\n      'Authorization': `Bearer ${process.env.OPENEVIDENCE_API_KEY}`,\n      'Content-Type': 'application\u002Fjson',\n    },\n    body: JSON.stringify({\n      query,\n      max_sources: options?.maxSources || 20,\n      evidence_filter: options?.evidenceLevel || 'all',\n      recency_years: options?.recencyYears || 5,\n    }),\n  });\n\n  if (!response.ok) throw new Error(`DeepConsult error: ${response.status}`);\n  return response.json();\n}\n```\n\n### Step 3: Process and Structure Evidence\n```typescript\ninterface EvidenceSummary {\n  question: string;\n  conclusion: string;\n  confidenceLevel: 'high' | 'moderate' | 'low' | 'very-low';\n  keyFindings: string[];\n  sources: Array\u003C{\n    title: string;\n    authors: string;\n    journal: string;\n    year: number;\n    evidenceType: string;\n    url?: string;\n  }>;\n  limitations: string[];\n}\n\nfunction processDeepConsultResponse(response: any): EvidenceSummary {\n  return {\n    question: response.query,\n    conclusion: response.synthesis?.conclusion || '',\n    confidenceLevel: mapConfidence(response.synthesis?.confidence),\n    keyFindings: response.synthesis?.key_findings || [],\n    sources: (response.citations || []).map((c: any) => ({\n      title: c.title,\n      authors: c.authors?.join(', ') || 'Unknown',\n      journal: c.journal || 'Unknown',\n      year: c.year || 0,\n      evidenceType: c.study_type || 'Unknown',\n      url: c.doi ? `https:\u002F\u002Fdoi.org\u002F${c.doi}` : undefined,\n    })),\n    limitations: response.synthesis?.limitations || [],\n  };\n}\n\nfunction mapConfidence(score: number): EvidenceSummary['confidenceLevel'] {\n  if (score >= 0.8) return 'high';\n  if (score >= 0.6) return 'moderate';\n  if (score >= 0.4) return 'low';\n  return 'very-low';\n}\n```\n\n### Step 4: Generate Clinical Summary Report\n```typescript\nfunction generateReport(summary: EvidenceSummary): string {\n  const lines = [\n    `# Evidence Summary`,\n    ``,\n    `**Question:** ${summary.question}`,\n    ``,\n    `## Conclusion (Confidence: ${summary.confidenceLevel})`,\n    summary.conclusion,\n    ``,\n    `## Key Findings`,\n    ...summary.keyFindings.map((f, i) => `${i + 1}. ${f}`),\n    ``,\n    `## Sources (${summary.sources.length})`,\n    ...summary.sources.map(s =>\n      `- ${s.authors} (${s.year}). *${s.title}*. ${s.journal}. [${s.evidenceType}]`\n    ),\n    ``,\n    `## Limitations`,\n    ...summary.limitations.map(l => `- ${l}`),\n  ];\n\n  return lines.join('\\n');\n}\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| No results returned | Query too narrow | Broaden population or outcome criteria |\n| Low confidence score | Insufficient evidence | Expand recency window or evidence filter |\n| API timeout | Complex multi-source query | Increase timeout, reduce maxSources |\n| Missing citations | Paywalled sources | Use DOI links for source verification |\n\n## Examples\n\n### Quick Evidence Lookup\n```typescript\nconst query = formatPICOQuery({\n  population: 'elderly patients with atrial fibrillation',\n  intervention: 'direct oral anticoagulants',\n  comparison: 'warfarin',\n  outcome: 'stroke prevention',\n});\n\nconst result = await deepConsult(query, { evidenceLevel: 'high-quality' });\nconst summary = processDeepConsultResponse(result);\nconsole.log(generateReport(summary));\n```\n\n## Resources\n- [OpenEvidence API](https:\u002F\u002Fdocs.openevidence.com)\n- [GRADE Evidence Framework](https:\u002F\u002Fwww.gradeworkinggroup.org\u002F)\n- [PICO Framework Guide](https:\u002F\u002Fguides.lib.uw.edu\u002Fresearch\u002Fpico)\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale","# OpenEvidence Core Workflow B: DeepConsult Research\n\n## Overview\nExecute comprehensive medical evidence synthesis using OpenEvidence DeepConsult API. Build multi-source literature reviews, generate evidence summaries with confidence levels, and create structured clinical decision support outputs.\n\n## Prerequisites\n- OpenEvidence API key with DeepConsult access\n- Understanding of medical evidence hierarchies\n- Familiarity with clinical question formats (PICO)\n- Output template for clinical summaries\n\n## Instructions\n\n### Step 1: Structure Clinical Questions (PICO Format)\n```typescript\ninterface ClinicalQuestion {\n  population: string;     \u002F\u002F Patient population\n  intervention: string;   \u002F\u002F Treatment or exposure\n  comparison?: string;    \u002F\u002F Alternative treatment\n  outcome: string;        \u002F\u002F Desired outcome\n  studyType?: string;     \u002F\u002F RCT, meta-analysis, cohort\n}\n\nfunction formatPICOQuery(q: ClinicalQuestion): string {\n  let query = `In ${q.population}, does ${q.intervention}`;\n  if (q.comparison) query += ` compared to ${q.comparison}`;\n  query += ` improve ${q.outcome}?`;\n  return query;\n}\n\n\u002F\u002F Example\nconst question: ClinicalQuestion = {\n  population: 'adults with type 2 diabetes',\n  intervention: 'GLP-1 receptor agonists',\n  comparison: 'DPP-4 inhibitors',\n  outcome: 'cardiovascular outcomes',\n};\n```\n\n### Step 2: Execute DeepConsult Query\n```typescript\nconst OPENEVIDENCE_API = 'https:\u002F\u002Fapi.openevidence.com\u002Fv1';\n\nasync function deepConsult(query: string, options?: {\n  maxSources?: number;\n  evidenceLevel?: 'all' | 'high-quality' | 'rct-only';\n  recencyYears?: number;\n}) {\n  const response = await fetch(`${OPENEVIDENCE_API}\u002Fdeepconsult`, {\n    method: 'POST',\n    headers: {\n      'Authorization': `Bearer ${process.env.OPENEVIDENCE_API_KEY}`,\n      'Content-Type': 'application\u002Fjson',\n    },\n    body: JSON.stringify({\n      query,\n      max_sources: options?.maxSources || 20,\n      evidence_filter: options?.evidenceLevel || 'all',\n      recency_years: options?.recencyYears || 5,\n    }),\n  });\n\n  if (!response.ok) throw new Error(`DeepConsult error: ${response.status}`);\n  return response.json();\n}\n```\n\n### Step 3: Process and Structure Evidence\n```typescript\ninterface EvidenceSummary {\n  question: string;\n  conclusion: string;\n  confidenceLevel: 'high' | 'moderate' | 'low' | 'very-low';\n  keyFindings: string[];\n  sources: Array\u003C{\n    title: string;\n    authors: string;\n    journal: string;\n    year: number;\n    evidenceType: string;\n    url?: string;\n  }>;\n  limitations: string[];\n}\n\nfunction processDeepConsultResponse(response: any): EvidenceSummary {\n  return {\n    question: response.query,\n    conclusion: response.synthesis?.conclusion || '',\n    confidenceLevel: mapConfidence(response.synthesis?.confidence),\n    keyFindings: response.synthesis?.key_findings || [],\n    sources: (response.citations || []).map((c: any) => ({\n      title: c.title,\n      authors: c.authors?.join(', ') || 'Unknown',\n      journal: c.journal || 'Unknown',\n      year: c.year || 0,\n      evidenceType: c.study_type || 'Unknown',\n      url: c.doi ? `https:\u002F\u002Fdoi.org\u002F${c.doi}` : undefined,\n    })),\n    limitations: response.synthesis?.limitations || [],\n  };\n}\n\nfunction mapConfidence(score: number): EvidenceSummary['confidenceLevel'] {\n  if (score >= 0.8) return 'high';\n  if (score >= 0.6) return 'moderate';\n  if (score >= 0.4) return 'low';\n  return 'very-low';\n}\n```\n\n### Step 4: Generate Clinical Summary Report\n```typescript\nfunction generateReport(summary: EvidenceSummary): string {\n  const lines = [\n    `# Evidence Summary`,\n    ``,\n    `**Question:** ${summary.question}`,\n    ``,\n    `## Conclusion (Confidence: ${summary.confidenceLevel})`,\n    summary.conclusion,\n    ``,\n    `## Key Findings`,\n    ...summary.keyFindings.map((f, i) => `${i + 1}. ${f}`),\n    ``,\n    `## Sources (${summary.sources.length})`,\n    ...summary.sources.map(s =>\n      `- ${s.authors} (${s.year}). *${s.title}*. ${s.journal}. [${s.evidenceType}]`\n    ),\n    ``,\n    `## Limitations`,\n    ...summary.limitations.map(l => `- ${l}`),\n  ];\n\n  return lines.join('\\n');\n}\n```\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| No results returned | Query too narrow | Broaden population or outcome criteria |\n| Low confidence score | Insufficient evidence | Expand recency window or evidence filter |\n| API timeout | Complex multi-source query | Increase timeout, reduce maxSources |\n| Missing citations | Paywalled sources | Use DOI links for source verification |\n\n## Examples\n\n### Quick Evidence Lookup\n```typescript\nconst query = formatPICOQuery({\n  population: 'elderly patients with atrial fibrillation',\n  intervention: 'direct oral anticoagulants',\n  comparison: 'warfarin',\n  outcome: 'stroke prevention',\n});\n\nconst result = await deepConsult(query, { evidenceLevel: 'high-quality' });\nconst summary = processDeepConsultResponse(result);\nconsole.log(generateReport(summary));\n```\n\n## Resources\n- [OpenEvidence API](https:\u002F\u002Fdocs.openevidence.com)\n- [GRADE Evidence Framework](https:\u002F\u002Fwww.gradeworkinggroup.org\u002F)\n- [PICO Framework Guide](https:\u002F\u002Fguides.lib.uw.edu\u002Fresearch\u002Fpico)\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale",{"name":5,"author":24,"license":15,"version":25,"description":26,"allowed-tools":27,"compatible-with":28},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Execute OpenEvidence DeepConsult workflow for comprehensive medical research.\nUse when implementing deep research synthesis, complex clinical questions,\nor when physicians need extensive literature review.\nTrigger with phrases like \"openevidence deepconsult\", \"deep research\",\n\"comprehensive evidence\", \"literature synthesis\".\n","Read, Write, Edit, Bash(npm:*), Grep","claude-code, codex, openclaw","main","c2b1fdccc779e99ac814e55fb69ca8d71215dd0f","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection","https:\u002F\u002Fgithub.com\u002FSamuelChien","http:\u002F\u002Fsamuelchien.com\u002F","2026-05-26 08:27:14",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add SamuelChien\u002Fmega-skills-collection --skill openevidence-core-workflow-b",{"tool":41,"command":42},"bunx","bunx skills add SamuelChien\u002Fmega-skills-collection --skill openevidence-core-workflow-b",{"tool":44,"command":45},"pnpm","pnpm dlx skills add SamuelChien\u002Fmega-skills-collection --skill openevidence-core-workflow-b","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fopenevidence-core-workflow-b\u002FSKILL.md",true,[],[50,57,64,71,78,86],{"skillNo":51,"name":52,"nameZh":6,"description":53,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":54,"categories":55,"keywords":56,"publishedAt":19},"01M76R4WZQZAXGGXMQCA0FZ716","zustand-store-ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fzustand-store-ts\u002FSKILL.md",[],[],{"skillNo":58,"name":59,"nameZh":6,"description":60,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":63,"publishedAt":19},"01M76R4T9KENDH7FENGZQHBW4G","zustand-store-creator","Zustand Store Creator - Auto-activating skill for Frontend Development.\nTriggers on: zustand store creator, zustand store creator\nPart of the Frontend Development skill category.","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fzustand-store-creator\u002FSKILL.md",[],[],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":19},"01M76R3YWN84B7SANJ52X799ZE","zero-trust-config-helper","Zero Trust Config Helper - Auto-activating skill for Security Advanced.\nTriggers on: zero trust config helper, zero trust config helper\nPart of the Security Advanced skill category.","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fzero-trust-config-helper\u002FSKILL.md",[],[],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":19},"01M76R3HNSV2AEYSKHM915GJ58","zapier-integration-helper","Zapier Integration Helper - Auto-activating skill for Business Automation.\nTriggers on: zapier integration helper, zapier integration helper\nPart of the Business Automation skill category.","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fzapier-integration-helper\u002FSKILL.md",[],[],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":82,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":19},"01M76R3DJSKAT4FA7DV4BF3GCE","zai-cli","Execute z.AI CLI providing vision, search, reader, and GitHub exploration via CLI and MCP.\nUse when user needs image\u002Fvideo analysis, OCR, UI-to-code conversion, error diagnosis,\nreal-time web search, web page to markdown extraction, or GitHub code exploration.\nTrigger with phrases like \"analyze this image\", \"search the web for\", \"read this page\",\n\"explore this repo\", or \"use zai\". Requires Z_AI_API_KEY.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fzai-cli\u002FSKILL.md",[],[],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":19},"01M76R2KAM699XE9AJVAWE4H2E","yt-research","Research competitor YouTube channels, niches, and trending topics for your content strategy.\nUse this skill whenever the user says \"research channels\", \"analyze competitors\", \"find trending topics\",\n\"niche analysis\", \"competitive research\", \"what are other creators doing\", \"scrape YouTube channels\",\nor wants to understand the competitive landscape for a specific tool or topic area. Use when working with yt research. Trigger with 'yt', 'research'.","https:\u002F\u002Fgithub.com\u002FSamuelChien\u002Fmega-skills-collection\u002Fblob\u002Fmain\u002Fyt-research\u002FSKILL.md",[],[]]