[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F8CYMWMGSFFDYYVG94G3XY":3,"skill-same:01M6F8CYMWMGSFFDYYVG94G3XY":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":18,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M6F8CYMWMGSFFDYYVG94G3XY","openevidence-migration-deep-dive",null,"Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions.\nUse when migrating from legacy clinical decision support systems, integrating with new EHRs,\nor performing major platform transitions.\nTrigger with phrases like \"openevidence migration\", \"ehr integration\",\n\"migrate to openevidence\", \"clinical ai migration\", \"legacy cds migration\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1981,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fopenevidence-pack\u002Fskills\u002Fopenevidence-migration-deep-dive\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"deep dive","openevidence migration deep dive","deep","migration","new","support","when","data migration","trigger","io","clinical","platform","cds","use","edit","write","read","decision","system","migrate","Bash","clinical decision support","data","2026-11-10 10:12:30",false,"---\nname: openevidence-migration-deep-dive\ndescription: |\n  Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions.\n  Use when migrating from legacy clinical decision support systems, integrating with new EHRs,\n  or performing major platform transitions.\n  Trigger with phrases like \"openevidence migration\", \"ehr integration\",\n  \"migrate to openevidence\", \"clinical ai migration\", \"legacy cds migration\".\nallowed-tools: Read, Write, Edit, Bash(npm:*), Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# OpenEvidence Migration Deep Dive\n\n## Overview\nExecute complex migrations including EHR integration, legacy system transitions, and multi-site deployments for OpenEvidence clinical AI.\n\n## Prerequisites\n- Understanding of source and target systems\n- Access to both environments during migration\n- Downtime window approved (if required)\n- Rollback plan documented\n- Clinical staff communication plan\n\n## Migration Scenarios\n\n| Scenario | Complexity | Downtime | Duration |\n|----------|------------|----------|----------|\n| Legacy CDS to OpenEvidence | High | 4-8 hours | 2-4 weeks |\n| Add EHR Integration | Medium | None | 1-2 weeks |\n| Multi-site Expansion | Medium | None | 1-2 weeks |\n| API Version Upgrade | Low | None | 1-3 days |\n\n## Instructions\n\n### Scenario 1: Legacy CDS to OpenEvidence Migration\n\n#### Step 1: Assessment and Planning\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fassessment.ts\n\ninterface LegacySystemAssessment {\n  systemName: string;\n  queryVolume: {\n    dailyQueries: number;\n    peakQueriesPerMinute: number;\n    uniqueUsers: number;\n  };\n  features: {\n    clinicalQuery: boolean;\n    drugInfo: boolean;\n    guidelines: boolean;\n    deepResearch: boolean;\n  };\n  integrations: {\n    ehr: string[];\n    sso: string[];\n    audit: string[];\n  };\n  dataToMigrate: {\n    savedSearches: boolean;\n    userPreferences: boolean;\n    auditLogs: boolean;\n  };\n}\n\nasync function assessLegacySystem(): Promise\u003CLegacySystemAssessment> {\n  \u002F\u002F Analyze legacy system usage\n  const queryLogs = await legacyDb.queryLogs.aggregate({\n    _count: { daily: true },\n    _max: { queriesPerMinute: true },\n  });\n\n  const users = await legacyDb.users.count();\n\n  return {\n    systemName: 'LegacyCDS',\n    queryVolume: {\n      dailyQueries: queryLogs._count.daily,\n      peakQueriesPerMinute: queryLogs._max.queriesPerMinute,\n      uniqueUsers: users,\n    },\n    features: {\n      clinicalQuery: true,\n      drugInfo: true,\n      guidelines: true,\n      deepResearch: false, \u002F\u002F OpenEvidence advantage\n    },\n    integrations: {\n      ehr: ['Epic', 'Cerner'],\n      sso: ['ADFS'],\n      audit: ['Splunk'],\n    },\n    dataToMigrate: {\n      savedSearches: true,\n      userPreferences: true,\n      auditLogs: true, \u002F\u002F Required for HIPAA\n    },\n  };\n}\n```\n\n#### Step 2: Parallel Running Period\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fparallel-runner.ts\n\ninterface ParallelConfig {\n  legacyClient: LegacyClient;\n  openEvidenceClient: OpenEvidenceClient;\n  comparisonRatio: number; \u002F\u002F 0-1, how many queries to compare\n  autoFallback: boolean;\n}\n\nexport class ParallelRunner {\n  constructor(private config: ParallelConfig) {}\n\n  async query(question: string, context: any): Promise\u003C{\n    result: any;\n    source: 'legacy' | 'openevidence';\n    comparison?: ComparisonResult;\n  }> {\n    const shouldCompare = Math.random() \u003C this.config.comparisonRatio;\n\n    \u002F\u002F Always query OpenEvidence (new system)\n    const oePromise = this.config.openEvidenceClient.query({\n      question,\n      context,\n    });\n\n    \u002F\u002F Optionally query legacy for comparison\n    let legacyPromise: Promise\u003Cany> | null = null;\n    if (shouldCompare) {\n      legacyPromise = this.config.legacyClient.query(question);\n    }\n\n    try {\n      const oeResult = await oePromise;\n\n      \u002F\u002F Log comparison if available\n      if (legacyPromise) {\n        const legacyResult = await legacyPromise.catch(() => null);\n        if (legacyResult) {\n          await this.logComparison(question, oeResult, legacyResult);\n        }\n      }\n\n      return {\n        result: oeResult,\n        source: 'openevidence',\n      };\n    } catch (error) {\n      if (this.config.autoFallback && legacyPromise) {\n        \u002F\u002F Fallback to legacy if OpenEvidence fails\n        console.warn('[Migration] OpenEvidence failed, falling back to legacy');\n        const legacyResult = await legacyPromise;\n        return {\n          result: legacyResult,\n          source: 'legacy',\n        };\n      }\n      throw error;\n    }\n  }\n\n  private async logComparison(\n    question: string,\n    oeResult: any,\n    legacyResult: any\n  ): Promise\u003Cvoid> {\n    const comparison: ComparisonResult = {\n      timestamp: new Date(),\n      questionHash: hashQuestion(question), \u002F\u002F Don't log PHI\n      openEvidence: {\n        responseTime: oeResult.responseTime,\n        confidence: oeResult.confidence,\n        citationCount: oeResult.citations.length,\n      },\n      legacy: {\n        responseTime: legacyResult.responseTime,\n        sourceCount: legacyResult.sources?.length || 0,\n      },\n    };\n\n    await db.migrationComparisons.create({ data: comparison });\n  }\n}\n```\n\n#### Step 3: Data Migration\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fdata-migration.ts\n\ninterface MigrationJob {\n  id: string;\n  type: 'users' | 'preferences' | 'audit_logs';\n  status: 'pending' | 'running' | 'completed' | 'failed';\n  progress: number;\n  errors: string[];\n}\n\nexport class DataMigrator {\n  async migrateUsers(): Promise\u003CMigrationJob> {\n    const job = await this.createJob('users');\n\n    try {\n      const legacyUsers = await legacyDb.users.findMany();\n      let processed = 0;\n\n      for (const user of legacyUsers) {\n        try {\n          await db.users.upsert({\n            where: { email: user.email },\n            create: {\n              email: user.email,\n              firstName: user.firstName,\n              lastName: user.lastName,\n              role: this.mapRole(user.role),\n              migratedFrom: 'legacy',\n              migratedAt: new Date(),\n            },\n            update: {\n              migratedFrom: 'legacy',\n              migratedAt: new Date(),\n            },\n          });\n        } catch (error: any) {\n          job.errors.push(`User ${user.email}: ${error.message}`);\n        }\n\n        processed++;\n        job.progress = (processed \u002F legacyUsers.length) * 100;\n        await this.updateJob(job);\n      }\n\n      job.status = 'completed';\n      await this.updateJob(job);\n      return job;\n    } catch (error: any) {\n      job.status = 'failed';\n      job.errors.push(error.message);\n      await this.updateJob(job);\n      throw error;\n    }\n  }\n\n  async migrateAuditLogs(): Promise\u003CMigrationJob> {\n    \u002F\u002F HIPAA requires preserving audit logs\n    const job = await this.createJob('audit_logs');\n\n    const batchSize = 10000;\n    let offset = 0;\n    let hasMore = true;\n\n    while (hasMore) {\n      const logs = await legacyDb.auditLogs.findMany({\n        skip: offset,\n        take: batchSize,\n      });\n\n      if (logs.length === 0) {\n        hasMore = false;\n        continue;\n      }\n\n      \u002F\u002F Transform and insert\n      const transformed = logs.map(log => ({\n        timestamp: log.timestamp,\n        userId: log.userId,\n        action: this.mapAction(log.action),\n        resourceType: 'legacy_query',\n        resourceId: log.queryId,\n        ipAddress: log.ipAddress,\n        migratedFrom: 'legacy',\n      }));\n\n      await db.auditLogs.createMany({ data: transformed });\n\n      offset += batchSize;\n      job.progress = Math.min(99, job.progress + 10);\n      await this.updateJob(job);\n    }\n\n    job.status = 'completed';\n    job.progress = 100;\n    await this.updateJob(job);\n    return job;\n  }\n\n  private mapRole(legacyRole: string): ClinicalRole {\n    const mapping: Record\u003Cstring, ClinicalRole> = {\n      'doctor': ClinicalRole.Physician,\n      'nurse': ClinicalRole.Nurse,\n      'pharmacist': ClinicalRole.Pharmacist,\n      'admin': ClinicalRole.Admin,\n    };\n    return mapping[legacyRole] || ClinicalRole.Nurse;\n  }\n\n  private mapAction(legacyAction: string): string {\n    const mapping: Record\u003Cstring, string> = {\n      'search': 'clinical_query',\n      'view': 'view_result',\n      'export': 'export',\n    };\n    return mapping[legacyAction] || legacyAction;\n  }\n}\n```\n\n### Scenario 2: EHR Integration (Epic)\n\n#### Step 1: SMART on FHIR Configuration\n```typescript\n\u002F\u002F src\u002Fintegrations\u002Fepic\u002Fsmart-config.ts\n\ninterface SMARTConfig {\n  clientId: string;\n  clientSecret: string;\n  redirectUri: string;\n  scope: string[];\n  epicEndpoints: {\n    authorize: string;\n    token: string;\n    fhir: string;\n  };\n}\n\nexport const epicConfig: SMARTConfig = {\n  clientId: process.env.EPIC_CLIENT_ID!,\n  clientSecret: process.env.EPIC_CLIENT_SECRET!,\n  redirectUri: `${process.env.APP_URL}\u002Fauth\u002Fepic\u002Fcallback`,\n  scope: [\n    'openid',\n    'fhirUser',\n    'launch\u002Fpatient',\n    'patient\u002FPatient.read',\n    'patient\u002FMedicationRequest.read',\n    'patient\u002FCondition.read',\n  ],\n  epicEndpoints: {\n    authorize: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Foauth2\u002Fauthorize',\n    token: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Foauth2\u002Ftoken',\n    fhir: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Fapi\u002FFHIR\u002FR4',\n  },\n};\n```\n\n#### Step 2: CDS Hooks Integration\n```typescript\n\u002F\u002F src\u002Fintegrations\u002Fepic\u002Fcds-hooks.ts\nimport { Router } from 'express';\nimport { ClinicalEvidenceService } from '..\u002F..\u002Fservices\u002Fclinical';\n\nconst router = Router();\n\n\u002F\u002F CDS Hooks Discovery Endpoint\nrouter.get('\u002Fcds-services', (req, res) => {\n  res.json({\n    services: [\n      {\n        id: 'openevidence-clinical-decision-support',\n        hook: 'patient-view',\n        title: 'OpenEvidence Clinical Decision Support',\n        description: 'AI-powered clinical evidence at the point of care',\n        prefetch: {\n          patient: 'Patient\u002F{{context.patientId}}',\n          conditions: 'Condition?patient={{context.patientId}}',\n          medications: 'MedicationRequest?patient={{context.patientId}}&status=active',\n        },\n      },\n      {\n        id: 'openevidence-drug-interaction',\n        hook: 'medication-prescribe',\n        title: 'OpenEvidence Drug Interaction Check',\n        description: 'Check for drug interactions using AI clinical evidence',\n        prefetch: {\n          patient: 'Patient\u002F{{context.patientId}}',\n          medications: 'MedicationRequest?patient={{context.patientId}}&status=active',\n        },\n      },\n    ],\n  });\n});\n\n\u002F\u002F CDS Hooks Service Endpoint\nrouter.post('\u002Fcds-services\u002F:serviceId', async (req, res) => {\n  const { serviceId } = req.params;\n  const { hook, context, prefetch } = req.body;\n\n  try {\n    let cards: any[] = [];\n\n    switch (serviceId) {\n      case 'openevidence-clinical-decision-support':\n        cards = await handlePatientView(context, prefetch);\n        break;\n      case 'openevidence-drug-interaction':\n        cards = await handleMedicationPrescribe(context, prefetch);\n        break;\n    }\n\n    res.json({ cards });\n  } catch (error) {\n    console.error('[CDS Hooks] Error:', error);\n    res.json({ cards: [] });\n  }\n});\n\nasync function handlePatientView(context: any, prefetch: any): Promise\u003Cany[]> {\n  \u002F\u002F Extract relevant conditions\n  const conditions = prefetch.conditions?.entry?.map(\n    (e: any) => e.resource.code?.text\n  ).filter(Boolean) || [];\n\n  if (conditions.length === 0) {\n    return [];\n  }\n\n  \u002F\u002F Query OpenEvidence for relevant clinical information\n  const evidence = await clinicalService.queryClinicalEvidence(\n    `What are the latest treatment guidelines for ${conditions.join(', ')}?`,\n    {\n      specialty: 'internal-medicine',\n      urgency: 'routine',\n    },\n    { userId: 'epic-cds', userRole: 'integration' }\n  );\n\n  return [{\n    uuid: crypto.randomUUID(),\n    summary: 'Clinical Evidence Available',\n    detail: evidence.summary,\n    indicator: 'info',\n    source: {\n      label: 'OpenEvidence',\n      url: 'https:\u002F\u002Fopenevidence.com',\n      icon: 'https:\u002F\u002Fopenevidence.com\u002Ficon.png',\n    },\n    links: [{\n      label: 'View Full Evidence',\n      url: `${process.env.APP_URL}\u002Fevidence?q=${encodeURIComponent(conditions.join(','))}`,\n      type: 'absolute',\n    }],\n  }];\n}\n\nasync function handleMedicationPrescribe(context: any, prefetch: any): Promise\u003Cany[]> {\n  const newMedication = context.draftOrders?.[0]?.resource?.medicationCodeableConcept?.text;\n  const currentMedications = prefetch.medications?.entry?.map(\n    (e: any) => e.resource.medicationCodeableConcept?.text\n  ).filter(Boolean) || [];\n\n  if (!newMedication || currentMedications.length === 0) {\n    return [];\n  }\n\n  \u002F\u002F Check for drug interactions\n  const interaction = await clinicalService.checkDrugInteraction(\n    [newMedication, ...currentMedications],\n    { userId: 'epic-cds', userRole: 'integration' }\n  );\n\n  if (!interaction.hasInteraction) {\n    return [];\n  }\n\n  return [{\n    uuid: crypto.randomUUID(),\n    summary: `Drug Interaction Alert: ${newMedication}`,\n    detail: interaction.details,\n    indicator: interaction.severity === 'major' ? 'critical' : 'warning',\n    source: {\n      label: 'OpenEvidence',\n      url: 'https:\u002F\u002Fopenevidence.com',\n    },\n    suggestions: interaction.severity === 'major' ? [{\n      label: 'Review Alternatives',\n      uuid: crypto.randomUUID(),\n      isRecommended: true,\n    }] : [],\n  }];\n}\n\nexport default router;\n```\n\n### Scenario 3: Multi-Site Expansion\n\n#### Step 1: Site Configuration\n```typescript\n\u002F\u002F src\u002Fconfig\u002Fmulti-site.ts\n\ninterface SiteConfig {\n  siteId: string;\n  siteName: string;\n  region: string;\n  openEvidenceOrgId: string;\n  ehrSystem: 'epic' | 'cerner' | 'meditech' | 'none';\n  features: {\n    deepConsult: boolean;\n    webhooks: boolean;\n  };\n  quotas: {\n    dailyQueries: number;\n    monthlyDeepConsults: number;\n  };\n}\n\nconst SITE_CONFIGS: Record\u003Cstring, SiteConfig> = {\n  'main-hospital': {\n    siteId: 'main-hospital',\n    siteName: 'Main Hospital',\n    region: 'us-central',\n    openEvidenceOrgId: 'org_main_***',\n    ehrSystem: 'epic',\n    features: { deepConsult: true, webhooks: true },\n    quotas: { dailyQueries: 10000, monthlyDeepConsults: 500 },\n  },\n  'clinic-network': {\n    siteId: 'clinic-network',\n    siteName: 'Clinic Network',\n    region: 'us-east',\n    openEvidenceOrgId: 'org_clinic_***',\n    ehrSystem: 'cerner',\n    features: { deepConsult: false, webhooks: true },\n    quotas: { dailyQueries: 5000, monthlyDeepConsults: 0 },\n  },\n  'urgent-care': {\n    siteId: 'urgent-care',\n    siteName: 'Urgent Care Centers',\n    region: 'us-west',\n    openEvidenceOrgId: 'org_uc_***',\n    ehrSystem: 'none',\n    features: { deepConsult: false, webhooks: false },\n    quotas: { dailyQueries: 2000, monthlyDeepConsults: 0 },\n  },\n};\n\nexport function getSiteConfig(siteId: string): SiteConfig {\n  const config = SITE_CONFIGS[siteId];\n  if (!config) {\n    throw new Error(`Unknown site: ${siteId}`);\n  }\n  return config;\n}\n```\n\n## Migration Checklist\n\n### Pre-Migration\n- [ ] Stakeholder approval obtained\n- [ ] Clinical staff notified\n- [ ] Downtime window scheduled (if needed)\n- [ ] Rollback plan documented\n- [ ] Data backup completed\n- [ ] Test environment validated\n\n### During Migration\n- [ ] Parallel running period completed\n- [ ] Comparison metrics reviewed\n- [ ] User data migrated\n- [ ] Audit logs migrated (HIPAA)\n- [ ] EHR integration tested\n- [ ] SSO integration tested\n\n### Post-Migration\n- [ ] Legacy system decommissioned\n- [ ] All users transitioned\n- [ ] Performance baseline established\n- [ ] Clinical staff trained\n- [ ] Support documentation updated\n- [ ] Lessons learned documented\n\n## Output\n- Legacy system assessment\n- Parallel running configuration\n- Data migration scripts\n- EHR integration (SMART on FHIR, CDS Hooks)\n- Multi-site configuration\n\n## Error Handling\n| Migration Issue | Detection | Resolution |\n|-----------------|-----------|------------|\n| Data corruption | Validation checks | Restore from backup |\n| SSO failure | Auth errors | Verify IdP config |\n| EHR integration fails | CDS Hooks errors | Check FHIR endpoints |\n| Performance regression | Metrics comparison | Optimize or rollback |\n\n## Resources\n- [SMART on FHIR](https:\u002F\u002Fsmarthealthit.org\u002F)\n- [CDS Hooks](https:\u002F\u002Fcds-hooks.hl7.org\u002F)\n- [Epic App Orchard](https:\u002F\u002Fappmarket.epic.com\u002F)\n- [Cerner Code](https:\u002F\u002Fcode.cerner.com\u002F)\n\n## Next Steps\nCongratulations! You have completed the OpenEvidence skill pack. For ongoing support, contact support@openevidence.com or visit https:\u002F\u002Fopenevidence.com.\n","# OpenEvidence Migration Deep Dive\n\n## Overview\nExecute complex migrations including EHR integration, legacy system transitions, and multi-site deployments for OpenEvidence clinical AI.\n\n## Prerequisites\n- Understanding of source and target systems\n- Access to both environments during migration\n- Downtime window approved (if required)\n- Rollback plan documented\n- Clinical staff communication plan\n\n## Migration Scenarios\n\n| Scenario | Complexity | Downtime | Duration |\n|----------|------------|----------|----------|\n| Legacy CDS to OpenEvidence | High | 4-8 hours | 2-4 weeks |\n| Add EHR Integration | Medium | None | 1-2 weeks |\n| Multi-site Expansion | Medium | None | 1-2 weeks |\n| API Version Upgrade | Low | None | 1-3 days |\n\n## Instructions\n\n### Scenario 1: Legacy CDS to OpenEvidence Migration\n\n#### Step 1: Assessment and Planning\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fassessment.ts\n\ninterface LegacySystemAssessment {\n  systemName: string;\n  queryVolume: {\n    dailyQueries: number;\n    peakQueriesPerMinute: number;\n    uniqueUsers: number;\n  };\n  features: {\n    clinicalQuery: boolean;\n    drugInfo: boolean;\n    guidelines: boolean;\n    deepResearch: boolean;\n  };\n  integrations: {\n    ehr: string[];\n    sso: string[];\n    audit: string[];\n  };\n  dataToMigrate: {\n    savedSearches: boolean;\n    userPreferences: boolean;\n    auditLogs: boolean;\n  };\n}\n\nasync function assessLegacySystem(): Promise\u003CLegacySystemAssessment> {\n  \u002F\u002F Analyze legacy system usage\n  const queryLogs = await legacyDb.queryLogs.aggregate({\n    _count: { daily: true },\n    _max: { queriesPerMinute: true },\n  });\n\n  const users = await legacyDb.users.count();\n\n  return {\n    systemName: 'LegacyCDS',\n    queryVolume: {\n      dailyQueries: queryLogs._count.daily,\n      peakQueriesPerMinute: queryLogs._max.queriesPerMinute,\n      uniqueUsers: users,\n    },\n    features: {\n      clinicalQuery: true,\n      drugInfo: true,\n      guidelines: true,\n      deepResearch: false, \u002F\u002F OpenEvidence advantage\n    },\n    integrations: {\n      ehr: ['Epic', 'Cerner'],\n      sso: ['ADFS'],\n      audit: ['Splunk'],\n    },\n    dataToMigrate: {\n      savedSearches: true,\n      userPreferences: true,\n      auditLogs: true, \u002F\u002F Required for HIPAA\n    },\n  };\n}\n```\n\n#### Step 2: Parallel Running Period\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fparallel-runner.ts\n\ninterface ParallelConfig {\n  legacyClient: LegacyClient;\n  openEvidenceClient: OpenEvidenceClient;\n  comparisonRatio: number; \u002F\u002F 0-1, how many queries to compare\n  autoFallback: boolean;\n}\n\nexport class ParallelRunner {\n  constructor(private config: ParallelConfig) {}\n\n  async query(question: string, context: any): Promise\u003C{\n    result: any;\n    source: 'legacy' | 'openevidence';\n    comparison?: ComparisonResult;\n  }> {\n    const shouldCompare = Math.random() \u003C this.config.comparisonRatio;\n\n    \u002F\u002F Always query OpenEvidence (new system)\n    const oePromise = this.config.openEvidenceClient.query({\n      question,\n      context,\n    });\n\n    \u002F\u002F Optionally query legacy for comparison\n    let legacyPromise: Promise\u003Cany> | null = null;\n    if (shouldCompare) {\n      legacyPromise = this.config.legacyClient.query(question);\n    }\n\n    try {\n      const oeResult = await oePromise;\n\n      \u002F\u002F Log comparison if available\n      if (legacyPromise) {\n        const legacyResult = await legacyPromise.catch(() => null);\n        if (legacyResult) {\n          await this.logComparison(question, oeResult, legacyResult);\n        }\n      }\n\n      return {\n        result: oeResult,\n        source: 'openevidence',\n      };\n    } catch (error) {\n      if (this.config.autoFallback && legacyPromise) {\n        \u002F\u002F Fallback to legacy if OpenEvidence fails\n        console.warn('[Migration] OpenEvidence failed, falling back to legacy');\n        const legacyResult = await legacyPromise;\n        return {\n          result: legacyResult,\n          source: 'legacy',\n        };\n      }\n      throw error;\n    }\n  }\n\n  private async logComparison(\n    question: string,\n    oeResult: any,\n    legacyResult: any\n  ): Promise\u003Cvoid> {\n    const comparison: ComparisonResult = {\n      timestamp: new Date(),\n      questionHash: hashQuestion(question), \u002F\u002F Don't log PHI\n      openEvidence: {\n        responseTime: oeResult.responseTime,\n        confidence: oeResult.confidence,\n        citationCount: oeResult.citations.length,\n      },\n      legacy: {\n        responseTime: legacyResult.responseTime,\n        sourceCount: legacyResult.sources?.length || 0,\n      },\n    };\n\n    await db.migrationComparisons.create({ data: comparison });\n  }\n}\n```\n\n#### Step 3: Data Migration\n```typescript\n\u002F\u002F src\u002Fmigration\u002Fdata-migration.ts\n\ninterface MigrationJob {\n  id: string;\n  type: 'users' | 'preferences' | 'audit_logs';\n  status: 'pending' | 'running' | 'completed' | 'failed';\n  progress: number;\n  errors: string[];\n}\n\nexport class DataMigrator {\n  async migrateUsers(): Promise\u003CMigrationJob> {\n    const job = await this.createJob('users');\n\n    try {\n      const legacyUsers = await legacyDb.users.findMany();\n      let processed = 0;\n\n      for (const user of legacyUsers) {\n        try {\n          await db.users.upsert({\n            where: { email: user.email },\n            create: {\n              email: user.email,\n              firstName: user.firstName,\n              lastName: user.lastName,\n              role: this.mapRole(user.role),\n              migratedFrom: 'legacy',\n              migratedAt: new Date(),\n            },\n            update: {\n              migratedFrom: 'legacy',\n              migratedAt: new Date(),\n            },\n          });\n        } catch (error: any) {\n          job.errors.push(`User ${user.email}: ${error.message}`);\n        }\n\n        processed++;\n        job.progress = (processed \u002F legacyUsers.length) * 100;\n        await this.updateJob(job);\n      }\n\n      job.status = 'completed';\n      await this.updateJob(job);\n      return job;\n    } catch (error: any) {\n      job.status = 'failed';\n      job.errors.push(error.message);\n      await this.updateJob(job);\n      throw error;\n    }\n  }\n\n  async migrateAuditLogs(): Promise\u003CMigrationJob> {\n    \u002F\u002F HIPAA requires preserving audit logs\n    const job = await this.createJob('audit_logs');\n\n    const batchSize = 10000;\n    let offset = 0;\n    let hasMore = true;\n\n    while (hasMore) {\n      const logs = await legacyDb.auditLogs.findMany({\n        skip: offset,\n        take: batchSize,\n      });\n\n      if (logs.length === 0) {\n        hasMore = false;\n        continue;\n      }\n\n      \u002F\u002F Transform and insert\n      const transformed = logs.map(log => ({\n        timestamp: log.timestamp,\n        userId: log.userId,\n        action: this.mapAction(log.action),\n        resourceType: 'legacy_query',\n        resourceId: log.queryId,\n        ipAddress: log.ipAddress,\n        migratedFrom: 'legacy',\n      }));\n\n      await db.auditLogs.createMany({ data: transformed });\n\n      offset += batchSize;\n      job.progress = Math.min(99, job.progress + 10);\n      await this.updateJob(job);\n    }\n\n    job.status = 'completed';\n    job.progress = 100;\n    await this.updateJob(job);\n    return job;\n  }\n\n  private mapRole(legacyRole: string): ClinicalRole {\n    const mapping: Record\u003Cstring, ClinicalRole> = {\n      'doctor': ClinicalRole.Physician,\n      'nurse': ClinicalRole.Nurse,\n      'pharmacist': ClinicalRole.Pharmacist,\n      'admin': ClinicalRole.Admin,\n    };\n    return mapping[legacyRole] || ClinicalRole.Nurse;\n  }\n\n  private mapAction(legacyAction: string): string {\n    const mapping: Record\u003Cstring, string> = {\n      'search': 'clinical_query',\n      'view': 'view_result',\n      'export': 'export',\n    };\n    return mapping[legacyAction] || legacyAction;\n  }\n}\n```\n\n### Scenario 2: EHR Integration (Epic)\n\n#### Step 1: SMART on FHIR Configuration\n```typescript\n\u002F\u002F src\u002Fintegrations\u002Fepic\u002Fsmart-config.ts\n\ninterface SMARTConfig {\n  clientId: string;\n  clientSecret: string;\n  redirectUri: string;\n  scope: string[];\n  epicEndpoints: {\n    authorize: string;\n    token: string;\n    fhir: string;\n  };\n}\n\nexport const epicConfig: SMARTConfig = {\n  clientId: process.env.EPIC_CLIENT_ID!,\n  clientSecret: process.env.EPIC_CLIENT_SECRET!,\n  redirectUri: `${process.env.APP_URL}\u002Fauth\u002Fepic\u002Fcallback`,\n  scope: [\n    'openid',\n    'fhirUser',\n    'launch\u002Fpatient',\n    'patient\u002FPatient.read',\n    'patient\u002FMedicationRequest.read',\n    'patient\u002FCondition.read',\n  ],\n  epicEndpoints: {\n    authorize: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Foauth2\u002Fauthorize',\n    token: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Foauth2\u002Ftoken',\n    fhir: 'https:\u002F\u002Ffhir.epic.com\u002Finterconnect-fhir-oauth\u002Fapi\u002FFHIR\u002FR4',\n  },\n};\n```\n\n#### Step 2: CDS Hooks Integration\n```typescript\n\u002F\u002F src\u002Fintegrations\u002Fepic\u002Fcds-hooks.ts\nimport { Router } from 'express';\nimport { ClinicalEvidenceService } from '..\u002F..\u002Fservices\u002Fclinical';\n\nconst router = Router();\n\n\u002F\u002F CDS Hooks Discovery Endpoint\nrouter.get('\u002Fcds-services', (req, res) => {\n  res.json({\n    services: [\n      {\n        id: 'openevidence-clinical-decision-support',\n        hook: 'patient-view',\n        title: 'OpenEvidence Clinical Decision Support',\n        description: 'AI-powered clinical evidence at the point of care',\n        prefetch: {\n          patient: 'Patient\u002F{{context.patientId}}',\n          conditions: 'Condition?patient={{context.patientId}}',\n          medications: 'MedicationRequest?patient={{context.patientId}}&status=active',\n        },\n      },\n      {\n        id: 'openevidence-drug-interaction',\n        hook: 'medication-prescribe',\n        title: 'OpenEvidence Drug Interaction Check',\n        description: 'Check for drug interactions using AI clinical evidence',\n        prefetch: {\n          patient: 'Patient\u002F{{context.patientId}}',\n          medications: 'MedicationRequest?patient={{context.patientId}}&status=active',\n        },\n      },\n    ],\n  });\n});\n\n\u002F\u002F CDS Hooks Service Endpoint\nrouter.post('\u002Fcds-services\u002F:serviceId', async (req, res) => {\n  const { serviceId } = req.params;\n  const { hook, context, prefetch } = req.body;\n\n  try {\n    let cards: any[] = [];\n\n    switch (serviceId) {\n      case 'openevidence-clinical-decision-support':\n        cards = await handlePatientView(context, prefetch);\n        break;\n      case 'openevidence-drug-interaction':\n        cards = await handleMedicationPrescribe(context, prefetch);\n        break;\n    }\n\n    res.json({ cards });\n  } catch (error) {\n    console.error('[CDS Hooks] Error:', error);\n    res.json({ cards: [] });\n  }\n});\n\nasync function handlePatientView(context: any, prefetch: any): Promise\u003Cany[]> {\n  \u002F\u002F Extract relevant conditions\n  const conditions = prefetch.conditions?.entry?.map(\n    (e: any) => e.resource.code?.text\n  ).filter(Boolean) || [];\n\n  if (conditions.length === 0) {\n    return [];\n  }\n\n  \u002F\u002F Query OpenEvidence for relevant clinical information\n  const evidence = await clinicalService.queryClinicalEvidence(\n    `What are the latest treatment guidelines for ${conditions.join(', ')}?`,\n    {\n      specialty: 'internal-medicine',\n      urgency: 'routine',\n    },\n    { userId: 'epic-cds', userRole: 'integration' }\n  );\n\n  return [{\n    uuid: crypto.randomUUID(),\n    summary: 'Clinical Evidence Available',\n    detail: evidence.summary,\n    indicator: 'info',\n    source: {\n      label: 'OpenEvidence',\n      url: 'https:\u002F\u002Fopenevidence.com',\n      icon: 'https:\u002F\u002Fopenevidence.com\u002Ficon.png',\n    },\n    links: [{\n      label: 'View Full Evidence',\n      url: `${process.env.APP_URL}\u002Fevidence?q=${encodeURIComponent(conditions.join(','))}`,\n      type: 'absolute',\n    }],\n  }];\n}\n\nasync function handleMedicationPrescribe(context: any, prefetch: any): Promise\u003Cany[]> {\n  const newMedication = context.draftOrders?.[0]?.resource?.medicationCodeableConcept?.text;\n  const currentMedications = prefetch.medications?.entry?.map(\n    (e: any) => e.resource.medicationCodeableConcept?.text\n  ).filter(Boolean) || [];\n\n  if (!newMedication || currentMedications.length === 0) {\n    return [];\n  }\n\n  \u002F\u002F Check for drug interactions\n  const interaction = await clinicalService.checkDrugInteraction(\n    [newMedication, ...currentMedications],\n    { userId: 'epic-cds', userRole: 'integration' }\n  );\n\n  if (!interaction.hasInteraction) {\n    return [];\n  }\n\n  return [{\n    uuid: crypto.randomUUID(),\n    summary: `Drug Interaction Alert: ${newMedication}`,\n    detail: interaction.details,\n    indicator: interaction.severity === 'major' ? 'critical' : 'warning',\n    source: {\n      label: 'OpenEvidence',\n      url: 'https:\u002F\u002Fopenevidence.com',\n    },\n    suggestions: interaction.severity === 'major' ? [{\n      label: 'Review Alternatives',\n      uuid: crypto.randomUUID(),\n      isRecommended: true,\n    }] : [],\n  }];\n}\n\nexport default router;\n```\n\n### Scenario 3: Multi-Site Expansion\n\n#### Step 1: Site Configuration\n```typescript\n\u002F\u002F src\u002Fconfig\u002Fmulti-site.ts\n\ninterface SiteConfig {\n  siteId: string;\n  siteName: string;\n  region: string;\n  openEvidenceOrgId: string;\n  ehrSystem: 'epic' | 'cerner' | 'meditech' | 'none';\n  features: {\n    deepConsult: boolean;\n    webhooks: boolean;\n  };\n  quotas: {\n    dailyQueries: number;\n    monthlyDeepConsults: number;\n  };\n}\n\nconst SITE_CONFIGS: Record\u003Cstring, SiteConfig> = {\n  'main-hospital': {\n    siteId: 'main-hospital',\n    siteName: 'Main Hospital',\n    region: 'us-central',\n    openEvidenceOrgId: 'org_main_***',\n    ehrSystem: 'epic',\n    features: { deepConsult: true, webhooks: true },\n    quotas: { dailyQueries: 10000, monthlyDeepConsults: 500 },\n  },\n  'clinic-network': {\n    siteId: 'clinic-network',\n    siteName: 'Clinic Network',\n    region: 'us-east',\n    openEvidenceOrgId: 'org_clinic_***',\n    ehrSystem: 'cerner',\n    features: { deepConsult: false, webhooks: true },\n    quotas: { dailyQueries: 5000, monthlyDeepConsults: 0 },\n  },\n  'urgent-care': {\n    siteId: 'urgent-care',\n    siteName: 'Urgent Care Centers',\n    region: 'us-west',\n    openEvidenceOrgId: 'org_uc_***',\n    ehrSystem: 'none',\n    features: { deepConsult: false, webhooks: false },\n    quotas: { dailyQueries: 2000, monthlyDeepConsults: 0 },\n  },\n};\n\nexport function getSiteConfig(siteId: string): SiteConfig {\n  const config = SITE_CONFIGS[siteId];\n  if (!config) {\n    throw new Error(`Unknown site: ${siteId}`);\n  }\n  return config;\n}\n```\n\n## Migration Checklist\n\n### Pre-Migration\n- [ ] Stakeholder approval obtained\n- [ ] Clinical staff notified\n- [ ] Downtime window scheduled (if needed)\n- [ ] Rollback plan documented\n- [ ] Data backup completed\n- [ ] Test environment validated\n\n### During Migration\n- [ ] Parallel running period completed\n- [ ] Comparison metrics reviewed\n- [ ] User data migrated\n- [ ] Audit logs migrated (HIPAA)\n- [ ] EHR integration tested\n- [ ] SSO integration tested\n\n### Post-Migration\n- [ ] Legacy system decommissioned\n- [ ] All users transitioned\n- [ ] Performance baseline established\n- [ ] Clinical staff trained\n- [ ] Support documentation updated\n- [ ] Lessons learned documented\n\n## Output\n- Legacy system assessment\n- Parallel running configuration\n- Data migration scripts\n- EHR integration (SMART on FHIR, CDS Hooks)\n- Multi-site configuration\n\n## Error Handling\n| Migration Issue | Detection | Resolution |\n|-----------------|-----------|------------|\n| Data corruption | Validation checks | Restore from backup |\n| SSO failure | Auth errors | Verify IdP config |\n| EHR integration fails | CDS Hooks errors | Check FHIR endpoints |\n| Performance regression | Metrics comparison | Optimize or rollback |\n\n## Resources\n- [SMART on FHIR](https:\u002F\u002Fsmarthealthit.org\u002F)\n- [CDS Hooks](https:\u002F\u002Fcds-hooks.hl7.org\u002F)\n- [Epic App Orchard](https:\u002F\u002Fappmarket.epic.com\u002F)\n- [Cerner Code](https:\u002F\u002Fcode.cerner.com\u002F)\n\n## Next Steps\nCongratulations! You have completed the OpenEvidence skill pack. For ongoing support, contact support@openevidence.com or visit https:\u002F\u002Fopenevidence.com.\n",{"name":5,"author":47,"license":15,"version":48,"description":49,"allowed-tools":50},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions.\nUse when migrating from legacy clinical decision support systems, integrating with new EHRs,\nor performing major platform transitions.\nTrigger with phrases like \"openevidence migration\", \"ehr integration\",\n\"migrate to openevidence\", \"clinical ai migration\", \"legacy cds migration\".\n","Read, Write, Edit, Bash(npm:*), Grep","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fopenevidence-pack\u002Fskills\u002Fopenevidence-migration-deep-dive",231,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-12 03:15:57",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-migration-deep-dive",{"tool":66,"command":67},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-migration-deep-dive",{"tool":69,"command":70},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-migration-deep-dive","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fopenevidence-pack\u002Fskills\u002Fopenevidence-migration-deep-dive\u002FSKILL.md",true,[],[75,115,140,165,191,213],{"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":79,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":88,"publishedAt":42},"01M6FEGPPK0ZTKCCM0R3E3KS33","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,32,107,108,109,110,111,112,113,114],"web artifacts builder","web","artifacts","artifacts builder","builder","frontend","css","components","react","component","routing","state management","state","shadcn","file","ui","Tools","Tailwind","html","single-file","simple","ui components","multi","for","jsx","suite",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":79,"licenseFileUrl":119,"sourceHtmlUrl":120,"categories":121,"keywords":126,"publishedAt":42},"01M6FEE9VTK1W4GY21AKREJXRG","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[122,125],{"categoryNo":123,"categoryName":124,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},[127,128,129,94,130,131,90,132,133,134,104,135,136,137,138,139,112],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"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":144,"sourceHtmlUrl":145,"categories":146,"keywords":147,"publishedAt":42},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. Load SpikeGLX\u002FOpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen\u002FIBL curation, AI-assisted visual analysis, for Neuropixels 1.0\u002F2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FSKILL.md",[],[148,149,150,151,41,152,153,154,32,155,156,157,158,159,160,161,139,162,163,164,112,25],"analysis","neuropixels analysis","spike","metrics","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":79,"licenseFileUrl":169,"sourceHtmlUrl":170,"categories":171,"keywords":175,"publishedAt":42},"01M6FDP0PDK6F1GGX395C7625Z","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[172],{"categoryNo":173,"categoryName":174,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000023","Skill与智能体开发",[176,177,178,179,180,181,182,183,184,185,186,187,188,189,139,112,190,25,23],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":195,"sourceHtmlUrl":196,"categories":197,"keywords":199,"publishedAt":42},"01M6FDM8Y7VK7NYG9SM7QPA3PW","notebooklm","Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[198],{"categoryNo":173,"categoryName":174,"taxonomyType":86,"taxonomyTypeDesc":87},[193,200,201,202,203,204,205,134,206,207,32,208,209,210,211,112,212],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":214,"name":215,"nameZh":6,"description":216,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":79,"licenseFileUrl":217,"sourceHtmlUrl":218,"categories":219,"keywords":226,"publishedAt":42},"01M6FDHPXE10J3XGTCH5HBHS1M","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[220,223],{"categoryNo":221,"categoryName":222,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":224,"categoryName":225,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000016","图像与多媒体",[227,228,229,177,230,105,231,232,182,32,233,189,234,235,236,112,237,25],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]