[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F8DDZVCADT37GFSJ8RJRZJ":3,"skill-same:01M6F8DDZVCADT37GFSJ8RJRZJ":79},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6F8DDZVCADT37GFSJ8RJRZJ","openevidence-prod-checklist",null,"Production readiness checklist for OpenEvidence clinical AI deployments.\nUse when preparing for production launch, conducting pre-deployment reviews,\nor auditing OpenEvidence integration for compliance.\nTrigger with phrases like \"openevidence production\", \"openevidence go-live\",\n\"openevidence checklist\", \"deploy openevidence\", \"openevidence readiness\".","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-prod-checklist\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"openevidence prod checklist","checklist","when","go","for","reviews","with","readiness","trigger","io","clinical","live","production readiness","deployments","use","read","grep","Production","compliance","integration","deployment","readiness checklist","launch","2026-11-10 10:12:30",false,"---\nname: openevidence-prod-checklist\ndescription: |\n  Production readiness checklist for OpenEvidence clinical AI deployments.\n  Use when preparing for production launch, conducting pre-deployment reviews,\n  or auditing OpenEvidence integration for compliance.\n  Trigger with phrases like \"openevidence production\", \"openevidence go-live\",\n  \"openevidence checklist\", \"deploy openevidence\", \"openevidence readiness\".\nallowed-tools: Read, Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# OpenEvidence Production Checklist\n\n## Overview\nComprehensive checklist for deploying OpenEvidence clinical AI integrations to production healthcare environments.\n\n## Prerequisites\n- Completed development and testing phases\n- Signed BAA with OpenEvidence\n- Security review completed\n- Compliance team sign-off\n\n## Production Readiness Checklist\n\n### 1. Legal & Compliance\n\n- [ ] **Business Associate Agreement (BAA) signed**\n  - Contact: compliance@openevidence.com\n  - Required for any PHI handling\n\n- [ ] **API Terms of Service accepted**\n  - Review: https:\u002F\u002Fwww.openevidence.com\u002Fpolicies\u002Fapi\n\n- [ ] **Clinical use disclaimers in place**\n  - All clinical outputs must include appropriate disclaimers\n  - \"For informational purposes only. Verify with current guidelines.\"\n\n- [ ] **Liability and malpractice considerations reviewed**\n  - Legal review of clinical decision support usage\n\n- [ ] **Data processing agreement documented**\n  - What data is sent, stored, processed\n\n### 2. Security\n\n- [ ] **Production API keys generated**\n  - Separate keys from development\u002Fstaging\n  - Stored in secret manager (not environment variables)\n\n- [ ] **Key rotation schedule established**\n  - Recommend: 90-day rotation cycle\n\n- [ ] **IP allowlist configured** (if available)\n  - Restrict API access to known IP ranges\n\n- [ ] **TLS 1.2+ enforced**\n  - No fallback to older protocols\n\n- [ ] **PHI sanitization implemented**\n  - Review `openevidence-security-basics`\n\n- [ ] **Webhook signature verification active**\n  - All webhook endpoints validate signatures\n\n- [ ] **Audit logging enabled**\n  - HIPAA-compliant access logging\n  - Minimum 6-year retention\n\n### 3. Infrastructure\n\n- [ ] **High availability configuration**\n  ```typescript\n  \u002F\u002F Multiple API endpoints for failover\n  const config = {\n    primaryEndpoint: 'https:\u002F\u002Fapi.openevidence.com',\n    fallbackEndpoint: 'https:\u002F\u002Fapi-fallback.openevidence.com',\n    timeout: 30000,\n    retries: 3,\n  };\n  ```\n\n- [ ] **Circuit breaker implemented**\n  ```typescript\n  import CircuitBreaker from 'opossum';\n\n  const breaker = new CircuitBreaker(clinicalQuery, {\n    timeout: 30000,\n    errorThresholdPercentage: 50,\n    resetTimeout: 30000,\n  });\n  ```\n\n- [ ] **Rate limit handling configured**\n  - Review `openevidence-rate-limits`\n  - Request queuing for traffic spikes\n\n- [ ] **Timeout configuration appropriate**\n  - Clinical queries: 15-30s\n  - DeepConsult: 5-10 minutes\n\n- [ ] **Health check endpoint implemented**\n  ```typescript\n  app.get('\u002Fhealth\u002Fopenevidence', async (req, res) => {\n    try {\n      await client.health.check();\n      res.json({ status: 'healthy' });\n    } catch (error) {\n      res.status(503).json({ status: 'unhealthy', error: error.message });\n    }\n  });\n  ```\n\n### 4. Monitoring & Alerting\n\n- [ ] **Metrics collection active**\n  - Request count, latency, error rate\n  - Review `openevidence-observability`\n\n- [ ] **Alert rules configured**\n  | Alert | Threshold | Severity |\n  |-------|-----------|----------|\n  | Error rate > 5% | 5 min window | Warning |\n  | Error rate > 20% | 5 min window | Critical |\n  | P95 latency > 15s | 5 min window | Warning |\n  | Health check failed | 2 consecutive | Critical |\n\n- [ ] **Dashboard created**\n  - Real-time visibility into OpenEvidence integration health\n\n- [ ] **Log aggregation configured**\n  - Centralized logging for debugging\n  - PHI excluded from logs\n\n### 5. Error Handling & Resilience\n\n- [ ] **Graceful degradation implemented**\n  ```typescript\n  async function clinicalQueryWithFallback(question: string) {\n    try {\n      return await openEvidenceQuery(question);\n    } catch (error) {\n      \u002F\u002F Log error, alert, return cached or default response\n      await alertService.send('OpenEvidence unavailable');\n      return {\n        answer: 'Clinical evidence service temporarily unavailable. Please consult current guidelines directly.',\n        fallback: true,\n      };\n    }\n  }\n  ```\n\n- [ ] **Retry logic tested**\n  - Exponential backoff with jitter\n  - Respects Retry-After headers\n\n- [ ] **Error classification implemented**\n  - Review `openevidence-common-errors`\n\n### 6. Performance\n\n- [ ] **Response caching strategy**\n  - Cache frequently queried clinical information\n  - Cache TTL appropriate for clinical data freshness\n\n- [ ] **Connection pooling configured**\n  - Reuse HTTP connections\n\n- [ ] **Query optimization reviewed**\n  - Clear, specific clinical questions\n  - Appropriate context provided\n\n- [ ] **Load testing completed**\n  - Test at 2x expected peak traffic\n  - Verify rate limits not exceeded\n\n### 7. Documentation & Training\n\n- [ ] **Runbook created**\n  - Incident response procedures\n  - Review `openevidence-incident-runbook`\n\n- [ ] **On-call training completed**\n  - Team knows how to triage OpenEvidence issues\n\n- [ ] **User documentation updated**\n  - How to use clinical decision support\n  - Limitations and appropriate use\n\n- [ ] **Clinical staff training**\n  - Understanding AI-assisted decision support\n  - When to rely on vs. question AI recommendations\n\n### 8. Testing & Validation\n\n- [ ] **Integration tests passing**\n  - Against sandbox environment\n\n- [ ] **End-to-end tests passing**\n  - Full workflow validation\n\n- [ ] **Clinical validation completed**\n  - Sample queries reviewed by clinical team\n  - Responses appropriate and accurate\n\n- [ ] **Performance benchmarks met**\n  - P50 \u003C 5s, P95 \u003C 15s for clinical queries\n  - P50 \u003C 3min, P95 \u003C 5min for DeepConsult\n\n### 9. Deployment\n\n- [ ] **Blue-green or canary deployment planned**\n  - Gradual rollout with monitoring\n\n- [ ] **Rollback procedure documented**\n  - Quick revert if issues detected\n\n- [ ] **Feature flags configured**\n  - Ability to disable OpenEvidence quickly\n\n- [ ] **Database migrations completed**\n  - Audit log tables, cache tables ready\n\n### 10. Post-Launch\n\n- [ ] **Monitoring dashboard reviewed daily** (first week)\n\n- [ ] **Error reports triaged immediately**\n\n- [ ] **User feedback collection active**\n\n- [ ] **Performance baseline established**\n\n## Production Configuration Example\n\n```typescript\n\u002F\u002F config\u002Fopenevidence.production.ts\nexport const productionConfig = {\n  \u002F\u002F Credentials from secret manager\n  credentials: {\n    source: 'secret-manager',\n    apiKeyPath: 'projects\u002Fprod\u002Fsecrets\u002Fopenevidence-api-key',\n    orgIdPath: 'projects\u002Fprod\u002Fsecrets\u002Fopenevidence-org-id',\n  },\n\n  \u002F\u002F Endpoints\n  api: {\n    baseUrl: 'https:\u002F\u002Fapi.openevidence.com',\n    timeout: 30000,\n    retries: 3,\n  },\n\n  \u002F\u002F Rate limiting\n  rateLimits: {\n    enabled: true,\n    maxConcurrent: 10,\n    requestsPerMinute: 100,\n  },\n\n  \u002F\u002F Circuit breaker\n  circuitBreaker: {\n    enabled: true,\n    errorThreshold: 50,\n    resetTimeout: 30000,\n  },\n\n  \u002F\u002F Caching\n  cache: {\n    enabled: true,\n    ttlSeconds: 3600,\n    maxEntries: 10000,\n  },\n\n  \u002F\u002F Monitoring\n  monitoring: {\n    metricsEnabled: true,\n    tracingEnabled: true,\n    logLevel: 'info',\n  },\n};\n```\n\n## Output\n- Completed production readiness checklist\n- Configuration validated\n- All stakeholders signed off\n- Go-live approved\n\n## Resources\n- [OpenEvidence](https:\u002F\u002Fwww.openevidence.com\u002F)\n- [OpenEvidence Security](https:\u002F\u002Fwww.openevidence.com\u002Fsecurity)\n\n## Next Steps\nFor version upgrades, see `openevidence-upgrade-migration`.\n","# OpenEvidence Production Checklist\n\n## Overview\nComprehensive checklist for deploying OpenEvidence clinical AI integrations to production healthcare environments.\n\n## Prerequisites\n- Completed development and testing phases\n- Signed BAA with OpenEvidence\n- Security review completed\n- Compliance team sign-off\n\n## Production Readiness Checklist\n\n### 1. Legal & Compliance\n\n- [ ] **Business Associate Agreement (BAA) signed**\n  - Contact: compliance@openevidence.com\n  - Required for any PHI handling\n\n- [ ] **API Terms of Service accepted**\n  - Review: https:\u002F\u002Fwww.openevidence.com\u002Fpolicies\u002Fapi\n\n- [ ] **Clinical use disclaimers in place**\n  - All clinical outputs must include appropriate disclaimers\n  - \"For informational purposes only. Verify with current guidelines.\"\n\n- [ ] **Liability and malpractice considerations reviewed**\n  - Legal review of clinical decision support usage\n\n- [ ] **Data processing agreement documented**\n  - What data is sent, stored, processed\n\n### 2. Security\n\n- [ ] **Production API keys generated**\n  - Separate keys from development\u002Fstaging\n  - Stored in secret manager (not environment variables)\n\n- [ ] **Key rotation schedule established**\n  - Recommend: 90-day rotation cycle\n\n- [ ] **IP allowlist configured** (if available)\n  - Restrict API access to known IP ranges\n\n- [ ] **TLS 1.2+ enforced**\n  - No fallback to older protocols\n\n- [ ] **PHI sanitization implemented**\n  - Review `openevidence-security-basics`\n\n- [ ] **Webhook signature verification active**\n  - All webhook endpoints validate signatures\n\n- [ ] **Audit logging enabled**\n  - HIPAA-compliant access logging\n  - Minimum 6-year retention\n\n### 3. Infrastructure\n\n- [ ] **High availability configuration**\n  ```typescript\n  \u002F\u002F Multiple API endpoints for failover\n  const config = {\n    primaryEndpoint: 'https:\u002F\u002Fapi.openevidence.com',\n    fallbackEndpoint: 'https:\u002F\u002Fapi-fallback.openevidence.com',\n    timeout: 30000,\n    retries: 3,\n  };\n  ```\n\n- [ ] **Circuit breaker implemented**\n  ```typescript\n  import CircuitBreaker from 'opossum';\n\n  const breaker = new CircuitBreaker(clinicalQuery, {\n    timeout: 30000,\n    errorThresholdPercentage: 50,\n    resetTimeout: 30000,\n  });\n  ```\n\n- [ ] **Rate limit handling configured**\n  - Review `openevidence-rate-limits`\n  - Request queuing for traffic spikes\n\n- [ ] **Timeout configuration appropriate**\n  - Clinical queries: 15-30s\n  - DeepConsult: 5-10 minutes\n\n- [ ] **Health check endpoint implemented**\n  ```typescript\n  app.get('\u002Fhealth\u002Fopenevidence', async (req, res) => {\n    try {\n      await client.health.check();\n      res.json({ status: 'healthy' });\n    } catch (error) {\n      res.status(503).json({ status: 'unhealthy', error: error.message });\n    }\n  });\n  ```\n\n### 4. Monitoring & Alerting\n\n- [ ] **Metrics collection active**\n  - Request count, latency, error rate\n  - Review `openevidence-observability`\n\n- [ ] **Alert rules configured**\n  | Alert | Threshold | Severity |\n  |-------|-----------|----------|\n  | Error rate > 5% | 5 min window | Warning |\n  | Error rate > 20% | 5 min window | Critical |\n  | P95 latency > 15s | 5 min window | Warning |\n  | Health check failed | 2 consecutive | Critical |\n\n- [ ] **Dashboard created**\n  - Real-time visibility into OpenEvidence integration health\n\n- [ ] **Log aggregation configured**\n  - Centralized logging for debugging\n  - PHI excluded from logs\n\n### 5. Error Handling & Resilience\n\n- [ ] **Graceful degradation implemented**\n  ```typescript\n  async function clinicalQueryWithFallback(question: string) {\n    try {\n      return await openEvidenceQuery(question);\n    } catch (error) {\n      \u002F\u002F Log error, alert, return cached or default response\n      await alertService.send('OpenEvidence unavailable');\n      return {\n        answer: 'Clinical evidence service temporarily unavailable. Please consult current guidelines directly.',\n        fallback: true,\n      };\n    }\n  }\n  ```\n\n- [ ] **Retry logic tested**\n  - Exponential backoff with jitter\n  - Respects Retry-After headers\n\n- [ ] **Error classification implemented**\n  - Review `openevidence-common-errors`\n\n### 6. Performance\n\n- [ ] **Response caching strategy**\n  - Cache frequently queried clinical information\n  - Cache TTL appropriate for clinical data freshness\n\n- [ ] **Connection pooling configured**\n  - Reuse HTTP connections\n\n- [ ] **Query optimization reviewed**\n  - Clear, specific clinical questions\n  - Appropriate context provided\n\n- [ ] **Load testing completed**\n  - Test at 2x expected peak traffic\n  - Verify rate limits not exceeded\n\n### 7. Documentation & Training\n\n- [ ] **Runbook created**\n  - Incident response procedures\n  - Review `openevidence-incident-runbook`\n\n- [ ] **On-call training completed**\n  - Team knows how to triage OpenEvidence issues\n\n- [ ] **User documentation updated**\n  - How to use clinical decision support\n  - Limitations and appropriate use\n\n- [ ] **Clinical staff training**\n  - Understanding AI-assisted decision support\n  - When to rely on vs. question AI recommendations\n\n### 8. Testing & Validation\n\n- [ ] **Integration tests passing**\n  - Against sandbox environment\n\n- [ ] **End-to-end tests passing**\n  - Full workflow validation\n\n- [ ] **Clinical validation completed**\n  - Sample queries reviewed by clinical team\n  - Responses appropriate and accurate\n\n- [ ] **Performance benchmarks met**\n  - P50 \u003C 5s, P95 \u003C 15s for clinical queries\n  - P50 \u003C 3min, P95 \u003C 5min for DeepConsult\n\n### 9. Deployment\n\n- [ ] **Blue-green or canary deployment planned**\n  - Gradual rollout with monitoring\n\n- [ ] **Rollback procedure documented**\n  - Quick revert if issues detected\n\n- [ ] **Feature flags configured**\n  - Ability to disable OpenEvidence quickly\n\n- [ ] **Database migrations completed**\n  - Audit log tables, cache tables ready\n\n### 10. Post-Launch\n\n- [ ] **Monitoring dashboard reviewed daily** (first week)\n\n- [ ] **Error reports triaged immediately**\n\n- [ ] **User feedback collection active**\n\n- [ ] **Performance baseline established**\n\n## Production Configuration Example\n\n```typescript\n\u002F\u002F config\u002Fopenevidence.production.ts\nexport const productionConfig = {\n  \u002F\u002F Credentials from secret manager\n  credentials: {\n    source: 'secret-manager',\n    apiKeyPath: 'projects\u002Fprod\u002Fsecrets\u002Fopenevidence-api-key',\n    orgIdPath: 'projects\u002Fprod\u002Fsecrets\u002Fopenevidence-org-id',\n  },\n\n  \u002F\u002F Endpoints\n  api: {\n    baseUrl: 'https:\u002F\u002Fapi.openevidence.com',\n    timeout: 30000,\n    retries: 3,\n  },\n\n  \u002F\u002F Rate limiting\n  rateLimits: {\n    enabled: true,\n    maxConcurrent: 10,\n    requestsPerMinute: 100,\n  },\n\n  \u002F\u002F Circuit breaker\n  circuitBreaker: {\n    enabled: true,\n    errorThreshold: 50,\n    resetTimeout: 30000,\n  },\n\n  \u002F\u002F Caching\n  cache: {\n    enabled: true,\n    ttlSeconds: 3600,\n    maxEntries: 10000,\n  },\n\n  \u002F\u002F Monitoring\n  monitoring: {\n    metricsEnabled: true,\n    tracingEnabled: true,\n    logLevel: 'info',\n  },\n};\n```\n\n## Output\n- Completed production readiness checklist\n- Configuration validated\n- All stakeholders signed off\n- Go-live approved\n\n## Resources\n- [OpenEvidence](https:\u002F\u002Fwww.openevidence.com\u002F)\n- [OpenEvidence Security](https:\u002F\u002Fwww.openevidence.com\u002Fsecurity)\n\n## Next Steps\nFor version upgrades, see `openevidence-upgrade-migration`.\n",{"name":5,"author":52,"license":15,"version":53,"description":54,"allowed-tools":55},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Production readiness checklist for OpenEvidence clinical AI deployments.\nUse when preparing for production launch, conducting pre-deployment reviews,\nor auditing OpenEvidence integration for compliance.\nTrigger with phrases like \"openevidence production\", \"openevidence go-live\",\n\"openevidence checklist\", \"deploy openevidence\", \"openevidence readiness\".\n","Read, Grep","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fopenevidence-pack\u002Fskills\u002Fopenevidence-prod-checklist",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":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-prod-checklist",{"tool":71,"command":72},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-prod-checklist",{"tool":74,"command":75},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill openevidence-prod-checklist","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-prod-checklist\u002FSKILL.md",true,[],[80,119,143,169,196,218],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":85,"sourceHtmlUrl":86,"categories":87,"keywords":93,"publishedAt":47},"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",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,38,112,113,114,115,116,28,117,118],"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","jsx","suite",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":123,"sourceHtmlUrl":124,"categories":125,"keywords":130,"publishedAt":47},"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",[126,129],{"categoryNo":127,"categoryName":128,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},[131,132,133,99,134,135,95,136,137,138,109,139,140,141,142,30,28],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":147,"sourceHtmlUrl":148,"categories":149,"keywords":150,"publishedAt":47},"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",[],[151,152,153,154,155,156,157,158,38,159,160,161,162,163,164,165,30,166,167,168,28,26],"analysis","neuropixels analysis","spike","metrics","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":173,"sourceHtmlUrl":174,"categories":175,"keywords":179,"publishedAt":47},"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",[176],{"categoryNo":177,"categoryName":178,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000023","Skill与智能体开发",[180,181,182,183,184,185,186,187,188,189,190,191,192,193,30,28,194,26,195],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":200,"sourceHtmlUrl":201,"categories":202,"keywords":204,"publishedAt":47},"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",[203],{"categoryNo":177,"categoryName":178,"taxonomyType":91,"taxonomyTypeDesc":92},[198,205,206,207,208,209,210,138,211,212,38,213,214,215,216,28,217],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":219,"name":220,"nameZh":6,"description":221,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":84,"licenseFileUrl":222,"sourceHtmlUrl":223,"categories":224,"keywords":231,"publishedAt":47},"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",[225,228],{"categoryNo":226,"categoryName":227,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":229,"categoryName":230,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000016","图像与多媒体",[232,233,234,181,235,110,236,237,186,38,238,193,239,240,241,28,242,26],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]