[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F64MKM1XMXEXCB9G186VAM":3,"skill-same:01M6F64MKM1XMXEXCB9G186VAM":73},{"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":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6F64MKM1XMXEXCB9G186VAM","customerio-performance-tuning",null,"Optimize Customer.io API performance.\nUse when improving response times, reducing latency,\nor optimizing high-volume integrations.\nTrigger with phrases like \"customer.io performance\", \"optimize customer.io\",\n\"customer.io latency\", \"customer.io speed\".","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\u002Fcustomerio-pack\u002Fskills\u002Fcustomerio-performance-tuning\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"tuning","customerio performance tuning","performance tuning","performance","use","when","with","trigger","io","latency","speed","volume","optimize","edit","write","read","curl","gh","integrations","Bash","api","customer","2026-11-10 10:12:30",false,"---\nname: customerio-performance-tuning\ndescription: |\n  Optimize Customer.io API performance.\n  Use when improving response times, reducing latency,\n  or optimizing high-volume integrations.\n  Trigger with phrases like \"customer.io performance\", \"optimize customer.io\",\n  \"customer.io latency\", \"customer.io speed\".\nallowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*)\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# Customer.io Performance Tuning\n\n## Overview\nOptimize Customer.io API performance for high-volume and low-latency integrations.\n\n## Prerequisites\n- Customer.io integration working\n- Monitoring infrastructure\n- Understanding of your traffic patterns\n\n## Instructions\n\n### Step 1: Connection Pooling\n```typescript\n\u002F\u002F lib\u002Fcustomerio-pooled.ts\nimport { TrackClient, RegionUS } from '@customerio\u002Ftrack';\nimport { Agent } from 'http';\nimport { Agent as HttpsAgent } from 'https';\n\n\u002F\u002F Create connection pool with keep-alive\nconst httpsAgent = new HttpsAgent({\n  keepAlive: true,\n  keepAliveMsecs: 30000,\n  maxSockets: 100,\n  maxFreeSockets: 20,\n  timeout: 30000\n});\n\n\u002F\u002F Create client with connection pooling\nexport function createPooledClient(): TrackClient {\n  return new TrackClient(\n    process.env.CUSTOMERIO_SITE_ID!,\n    process.env.CUSTOMERIO_API_KEY!,\n    {\n      region: RegionUS,\n      \u002F\u002F Pass custom agent for connection pooling\n      httpAgent: httpsAgent\n    }\n  );\n}\n\n\u002F\u002F Singleton for connection reuse\nlet clientInstance: TrackClient | null = null;\n\nexport function getClient(): TrackClient {\n  if (!clientInstance) {\n    clientInstance = createPooledClient();\n  }\n  return clientInstance;\n}\n```\n\n### Step 2: Batch Processing\n```typescript\n\u002F\u002F lib\u002Fbatch-processor.ts\nimport { TrackClient } from '@customerio\u002Ftrack';\n\ninterface BatchItem {\n  type: 'identify' | 'track';\n  userId: string;\n  data: Record\u003Cstring, any>;\n}\n\nexport class BatchProcessor {\n  private batch: BatchItem[] = [];\n  private batchSize: number;\n  private flushInterval: number;\n  private timer: NodeJS.Timer | null = null;\n\n  constructor(\n    private client: TrackClient,\n    options: { batchSize?: number; flushIntervalMs?: number } = {}\n  ) {\n    this.batchSize = options.batchSize || 100;\n    this.flushInterval = options.flushIntervalMs || 1000;\n    this.startFlushTimer();\n  }\n\n  add(item: BatchItem): void {\n    this.batch.push(item);\n\n    if (this.batch.length >= this.batchSize) {\n      this.flush();\n    }\n  }\n\n  async flush(): Promise\u003Cvoid> {\n    if (this.batch.length === 0) return;\n\n    const items = this.batch.splice(0, this.batchSize);\n\n    \u002F\u002F Process in parallel with concurrency limit\n    const concurrency = 10;\n    for (let i = 0; i \u003C items.length; i += concurrency) {\n      const chunk = items.slice(i, i + concurrency);\n      await Promise.all(chunk.map(item => this.processItem(item)));\n    }\n  }\n\n  private async processItem(item: BatchItem): Promise\u003Cvoid> {\n    try {\n      if (item.type === 'identify') {\n        await this.client.identify(item.userId, item.data);\n      } else {\n        await this.client.track(item.userId, {\n          name: item.data.event,\n          data: item.data.properties\n        });\n      }\n    } catch (error) {\n      console.error(`Failed to process ${item.type} for ${item.userId}:`, error);\n    }\n  }\n\n  private startFlushTimer(): void {\n    this.timer = setInterval(() => this.flush(), this.flushInterval);\n  }\n\n  async shutdown(): Promise\u003Cvoid> {\n    if (this.timer) {\n      clearInterval(this.timer);\n    }\n    await this.flush();\n  }\n}\n```\n\n### Step 3: Async Fire-and-Forget\n```typescript\n\u002F\u002F lib\u002Fasync-tracker.ts\nimport { TrackClient } from '@customerio\u002Ftrack';\n\nclass AsyncTracker {\n  private queue: Array\u003C() => Promise\u003Cvoid>> = [];\n  private processing = false;\n  private concurrency = 5;\n\n  constructor(private client: TrackClient) {}\n\n  \u002F\u002F Non-blocking identify\n  identifyAsync(userId: string, attributes: Record\u003Cstring, any>): void {\n    this.enqueue(() => this.client.identify(userId, attributes));\n  }\n\n  \u002F\u002F Non-blocking track\n  trackAsync(userId: string, event: string, data?: Record\u003Cstring, any>): void {\n    this.enqueue(() => this.client.track(userId, { name: event, data }));\n  }\n\n  private enqueue(operation: () => Promise\u003Cvoid>): void {\n    this.queue.push(operation);\n    this.processQueue();\n  }\n\n  private async processQueue(): Promise\u003Cvoid> {\n    if (this.processing) return;\n    this.processing = true;\n\n    while (this.queue.length > 0) {\n      const batch = this.queue.splice(0, this.concurrency);\n      await Promise.allSettled(batch.map(op => op()));\n    }\n\n    this.processing = false;\n  }\n}\n\nexport const asyncTracker = new AsyncTracker(getClient());\n```\n\n### Step 4: Caching for Deduplication\n```typescript\n\u002F\u002F lib\u002Fdedup-cache.ts\nimport { LRUCache } from 'lru-cache';\n\ninterface CacheEntry {\n  userId: string;\n  attributes: Record\u003Cstring, any>;\n  timestamp: number;\n}\n\nconst identifyCache = new LRUCache\u003Cstring, CacheEntry>({\n  max: 10000,\n  ttl: 60000 \u002F\u002F 1 minute\n});\n\nexport function shouldIdentify(\n  userId: string,\n  attributes: Record\u003Cstring, any>\n): boolean {\n  const cacheKey = `${userId}:${JSON.stringify(attributes)}`;\n  const cached = identifyCache.get(cacheKey);\n\n  if (cached) {\n    \u002F\u002F Skip if identical identify within TTL\n    return false;\n  }\n\n  identifyCache.set(cacheKey, {\n    userId,\n    attributes,\n    timestamp: Date.now()\n  });\n\n  return true;\n}\n\n\u002F\u002F Track event deduplication\nconst eventCache = new LRUCache\u003Cstring, number>({\n  max: 50000,\n  ttl: 5000 \u002F\u002F 5 seconds\n});\n\nexport function shouldTrack(\n  userId: string,\n  eventName: string,\n  eventId?: string\n): boolean {\n  const cacheKey = eventId || `${userId}:${eventName}:${Date.now()}`;\n\n  if (eventCache.has(cacheKey)) {\n    return false;\n  }\n\n  eventCache.set(cacheKey, Date.now());\n  return true;\n}\n```\n\n### Step 5: Regional Optimization\n```typescript\n\u002F\u002F lib\u002Fregional-client.ts\nimport { TrackClient, RegionUS, RegionEU } from '@customerio\u002Ftrack';\n\ninterface RegionalConfig {\n  us: { siteId: string; apiKey: string };\n  eu: { siteId: string; apiKey: string };\n}\n\nclass RegionalCustomerIO {\n  private clients: Map\u003Cstring, TrackClient> = new Map();\n\n  constructor(config: RegionalConfig) {\n    this.clients.set('us', new TrackClient(\n      config.us.siteId,\n      config.us.apiKey,\n      { region: RegionUS }\n    ));\n\n    this.clients.set('eu', new TrackClient(\n      config.eu.siteId,\n      config.eu.apiKey,\n      { region: RegionEU }\n    ));\n  }\n\n  private getClientForUser(userId: string, userRegion?: string): TrackClient {\n    \u002F\u002F Route to nearest region\n    const region = userRegion || this.inferRegion(userId);\n    return this.clients.get(region) || this.clients.get('us')!;\n  }\n\n  private inferRegion(userId: string): string {\n    \u002F\u002F Implement region inference logic\n    \u002F\u002F Could be based on user preferences, IP geolocation, etc.\n    return 'us';\n  }\n\n  async identify(\n    userId: string,\n    attributes: Record\u003Cstring, any>,\n    region?: string\n  ): Promise\u003Cvoid> {\n    const client = this.getClientForUser(userId, region);\n    await client.identify(userId, attributes);\n  }\n}\n```\n\n### Step 6: Performance Monitoring\n```typescript\n\u002F\u002F lib\u002Fperformance-monitor.ts\nimport { metrics } from '.\u002Fmetrics';\n\nfunction wrapWithTiming\u003CT>(\n  name: string,\n  operation: () => Promise\u003CT>\n): Promise\u003CT> {\n  const start = Date.now();\n\n  return operation()\n    .then(result => {\n      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);\n      metrics.increment(`customerio.${name}.success`);\n      return result;\n    })\n    .catch(error => {\n      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);\n      metrics.increment(`customerio.${name}.error`);\n      throw error;\n    });\n}\n\n\u002F\u002F Usage\nawait wrapWithTiming('identify', () =>\n  client.identify(userId, attributes)\n);\n```\n\n## Performance Benchmarks\n\n| Operation | Target Latency | Notes |\n|-----------|---------------|-------|\n| Identify | \u003C 100ms | With connection pooling |\n| Track Event | \u003C 100ms | With connection pooling |\n| Batch (100 items) | \u003C 500ms | Parallel processing |\n| Webhook Processing | \u003C 50ms | Excluding downstream ops |\n\n## Optimization Checklist\n\n- [ ] Connection pooling enabled\n- [ ] Batch processing for bulk operations\n- [ ] Async fire-and-forget for non-critical events\n- [ ] Deduplication cache implemented\n- [ ] Regional routing configured\n- [ ] Performance monitoring in place\n\n## Error Handling\n| Issue | Solution |\n|-------|----------|\n| High latency | Enable connection pooling |\n| Timeout errors | Reduce payload size, increase timeout |\n| Memory pressure | Limit cache and queue sizes |\n\n## Resources\n- [API Performance Tips](https:\u002F\u002Fcustomer.io\u002Fdocs\u002Fapi\u002Ftrack\u002F#section\u002FRate-limits)\n- [Best Practices](https:\u002F\u002Fcustomer.io\u002Fdocs\u002Fbest-practices\u002F)\n\n## Next Steps\nAfter performance tuning, proceed to `customerio-cost-tuning` for cost optimization.\n","# Customer.io Performance Tuning\n\n## Overview\nOptimize Customer.io API performance for high-volume and low-latency integrations.\n\n## Prerequisites\n- Customer.io integration working\n- Monitoring infrastructure\n- Understanding of your traffic patterns\n\n## Instructions\n\n### Step 1: Connection Pooling\n```typescript\n\u002F\u002F lib\u002Fcustomerio-pooled.ts\nimport { TrackClient, RegionUS } from '@customerio\u002Ftrack';\nimport { Agent } from 'http';\nimport { Agent as HttpsAgent } from 'https';\n\n\u002F\u002F Create connection pool with keep-alive\nconst httpsAgent = new HttpsAgent({\n  keepAlive: true,\n  keepAliveMsecs: 30000,\n  maxSockets: 100,\n  maxFreeSockets: 20,\n  timeout: 30000\n});\n\n\u002F\u002F Create client with connection pooling\nexport function createPooledClient(): TrackClient {\n  return new TrackClient(\n    process.env.CUSTOMERIO_SITE_ID!,\n    process.env.CUSTOMERIO_API_KEY!,\n    {\n      region: RegionUS,\n      \u002F\u002F Pass custom agent for connection pooling\n      httpAgent: httpsAgent\n    }\n  );\n}\n\n\u002F\u002F Singleton for connection reuse\nlet clientInstance: TrackClient | null = null;\n\nexport function getClient(): TrackClient {\n  if (!clientInstance) {\n    clientInstance = createPooledClient();\n  }\n  return clientInstance;\n}\n```\n\n### Step 2: Batch Processing\n```typescript\n\u002F\u002F lib\u002Fbatch-processor.ts\nimport { TrackClient } from '@customerio\u002Ftrack';\n\ninterface BatchItem {\n  type: 'identify' | 'track';\n  userId: string;\n  data: Record\u003Cstring, any>;\n}\n\nexport class BatchProcessor {\n  private batch: BatchItem[] = [];\n  private batchSize: number;\n  private flushInterval: number;\n  private timer: NodeJS.Timer | null = null;\n\n  constructor(\n    private client: TrackClient,\n    options: { batchSize?: number; flushIntervalMs?: number } = {}\n  ) {\n    this.batchSize = options.batchSize || 100;\n    this.flushInterval = options.flushIntervalMs || 1000;\n    this.startFlushTimer();\n  }\n\n  add(item: BatchItem): void {\n    this.batch.push(item);\n\n    if (this.batch.length >= this.batchSize) {\n      this.flush();\n    }\n  }\n\n  async flush(): Promise\u003Cvoid> {\n    if (this.batch.length === 0) return;\n\n    const items = this.batch.splice(0, this.batchSize);\n\n    \u002F\u002F Process in parallel with concurrency limit\n    const concurrency = 10;\n    for (let i = 0; i \u003C items.length; i += concurrency) {\n      const chunk = items.slice(i, i + concurrency);\n      await Promise.all(chunk.map(item => this.processItem(item)));\n    }\n  }\n\n  private async processItem(item: BatchItem): Promise\u003Cvoid> {\n    try {\n      if (item.type === 'identify') {\n        await this.client.identify(item.userId, item.data);\n      } else {\n        await this.client.track(item.userId, {\n          name: item.data.event,\n          data: item.data.properties\n        });\n      }\n    } catch (error) {\n      console.error(`Failed to process ${item.type} for ${item.userId}:`, error);\n    }\n  }\n\n  private startFlushTimer(): void {\n    this.timer = setInterval(() => this.flush(), this.flushInterval);\n  }\n\n  async shutdown(): Promise\u003Cvoid> {\n    if (this.timer) {\n      clearInterval(this.timer);\n    }\n    await this.flush();\n  }\n}\n```\n\n### Step 3: Async Fire-and-Forget\n```typescript\n\u002F\u002F lib\u002Fasync-tracker.ts\nimport { TrackClient } from '@customerio\u002Ftrack';\n\nclass AsyncTracker {\n  private queue: Array\u003C() => Promise\u003Cvoid>> = [];\n  private processing = false;\n  private concurrency = 5;\n\n  constructor(private client: TrackClient) {}\n\n  \u002F\u002F Non-blocking identify\n  identifyAsync(userId: string, attributes: Record\u003Cstring, any>): void {\n    this.enqueue(() => this.client.identify(userId, attributes));\n  }\n\n  \u002F\u002F Non-blocking track\n  trackAsync(userId: string, event: string, data?: Record\u003Cstring, any>): void {\n    this.enqueue(() => this.client.track(userId, { name: event, data }));\n  }\n\n  private enqueue(operation: () => Promise\u003Cvoid>): void {\n    this.queue.push(operation);\n    this.processQueue();\n  }\n\n  private async processQueue(): Promise\u003Cvoid> {\n    if (this.processing) return;\n    this.processing = true;\n\n    while (this.queue.length > 0) {\n      const batch = this.queue.splice(0, this.concurrency);\n      await Promise.allSettled(batch.map(op => op()));\n    }\n\n    this.processing = false;\n  }\n}\n\nexport const asyncTracker = new AsyncTracker(getClient());\n```\n\n### Step 4: Caching for Deduplication\n```typescript\n\u002F\u002F lib\u002Fdedup-cache.ts\nimport { LRUCache } from 'lru-cache';\n\ninterface CacheEntry {\n  userId: string;\n  attributes: Record\u003Cstring, any>;\n  timestamp: number;\n}\n\nconst identifyCache = new LRUCache\u003Cstring, CacheEntry>({\n  max: 10000,\n  ttl: 60000 \u002F\u002F 1 minute\n});\n\nexport function shouldIdentify(\n  userId: string,\n  attributes: Record\u003Cstring, any>\n): boolean {\n  const cacheKey = `${userId}:${JSON.stringify(attributes)}`;\n  const cached = identifyCache.get(cacheKey);\n\n  if (cached) {\n    \u002F\u002F Skip if identical identify within TTL\n    return false;\n  }\n\n  identifyCache.set(cacheKey, {\n    userId,\n    attributes,\n    timestamp: Date.now()\n  });\n\n  return true;\n}\n\n\u002F\u002F Track event deduplication\nconst eventCache = new LRUCache\u003Cstring, number>({\n  max: 50000,\n  ttl: 5000 \u002F\u002F 5 seconds\n});\n\nexport function shouldTrack(\n  userId: string,\n  eventName: string,\n  eventId?: string\n): boolean {\n  const cacheKey = eventId || `${userId}:${eventName}:${Date.now()}`;\n\n  if (eventCache.has(cacheKey)) {\n    return false;\n  }\n\n  eventCache.set(cacheKey, Date.now());\n  return true;\n}\n```\n\n### Step 5: Regional Optimization\n```typescript\n\u002F\u002F lib\u002Fregional-client.ts\nimport { TrackClient, RegionUS, RegionEU } from '@customerio\u002Ftrack';\n\ninterface RegionalConfig {\n  us: { siteId: string; apiKey: string };\n  eu: { siteId: string; apiKey: string };\n}\n\nclass RegionalCustomerIO {\n  private clients: Map\u003Cstring, TrackClient> = new Map();\n\n  constructor(config: RegionalConfig) {\n    this.clients.set('us', new TrackClient(\n      config.us.siteId,\n      config.us.apiKey,\n      { region: RegionUS }\n    ));\n\n    this.clients.set('eu', new TrackClient(\n      config.eu.siteId,\n      config.eu.apiKey,\n      { region: RegionEU }\n    ));\n  }\n\n  private getClientForUser(userId: string, userRegion?: string): TrackClient {\n    \u002F\u002F Route to nearest region\n    const region = userRegion || this.inferRegion(userId);\n    return this.clients.get(region) || this.clients.get('us')!;\n  }\n\n  private inferRegion(userId: string): string {\n    \u002F\u002F Implement region inference logic\n    \u002F\u002F Could be based on user preferences, IP geolocation, etc.\n    return 'us';\n  }\n\n  async identify(\n    userId: string,\n    attributes: Record\u003Cstring, any>,\n    region?: string\n  ): Promise\u003Cvoid> {\n    const client = this.getClientForUser(userId, region);\n    await client.identify(userId, attributes);\n  }\n}\n```\n\n### Step 6: Performance Monitoring\n```typescript\n\u002F\u002F lib\u002Fperformance-monitor.ts\nimport { metrics } from '.\u002Fmetrics';\n\nfunction wrapWithTiming\u003CT>(\n  name: string,\n  operation: () => Promise\u003CT>\n): Promise\u003CT> {\n  const start = Date.now();\n\n  return operation()\n    .then(result => {\n      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);\n      metrics.increment(`customerio.${name}.success`);\n      return result;\n    })\n    .catch(error => {\n      metrics.histogram(`customerio.${name}.latency`, Date.now() - start);\n      metrics.increment(`customerio.${name}.error`);\n      throw error;\n    });\n}\n\n\u002F\u002F Usage\nawait wrapWithTiming('identify', () =>\n  client.identify(userId, attributes)\n);\n```\n\n## Performance Benchmarks\n\n| Operation | Target Latency | Notes |\n|-----------|---------------|-------|\n| Identify | \u003C 100ms | With connection pooling |\n| Track Event | \u003C 100ms | With connection pooling |\n| Batch (100 items) | \u003C 500ms | Parallel processing |\n| Webhook Processing | \u003C 50ms | Excluding downstream ops |\n\n## Optimization Checklist\n\n- [ ] Connection pooling enabled\n- [ ] Batch processing for bulk operations\n- [ ] Async fire-and-forget for non-critical events\n- [ ] Deduplication cache implemented\n- [ ] Regional routing configured\n- [ ] Performance monitoring in place\n\n## Error Handling\n| Issue | Solution |\n|-------|----------|\n| High latency | Enable connection pooling |\n| Timeout errors | Reduce payload size, increase timeout |\n| Memory pressure | Limit cache and queue sizes |\n\n## Resources\n- [API Performance Tips](https:\u002F\u002Fcustomer.io\u002Fdocs\u002Fapi\u002Ftrack\u002F#section\u002FRate-limits)\n- [Best Practices](https:\u002F\u002Fcustomer.io\u002Fdocs\u002Fbest-practices\u002F)\n\n## Next Steps\nAfter performance tuning, proceed to `customerio-cost-tuning` for cost optimization.\n",{"name":5,"author":46,"license":15,"version":47,"description":48,"allowed-tools":49},"Jeremy Longshore 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customerio-performance-tuning",{"tool":65,"command":66},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill customerio-performance-tuning",{"tool":68,"command":69},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill customerio-performance-tuning","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\u002Fcustomerio-pack\u002Fskills\u002Fcustomerio-performance-tuning\u002FSKILL.md",true,[],[74,114,138,164,190,212],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":79,"sourceHtmlUrl":80,"categories":81,"keywords":87,"publishedAt":41},"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",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,23,106,107,108,109,110,111,112,113],"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":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":118,"sourceHtmlUrl":119,"categories":120,"keywords":125,"publishedAt":41},"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",[121,124],{"categoryNo":122,"categoryName":123,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},[126,127,128,93,129,130,89,131,132,133,103,134,135,136,137,25,111],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":142,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":41},"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",[],[146,147,148,149,150,151,152,153,23,154,155,156,157,158,159,160,25,161,162,163,111,24],"analysis","neuropixels analysis","spike","metrics","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":174,"publishedAt":41},"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",[171],{"categoryNo":172,"categoryName":173,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000023","Skill与智能体开发",[175,176,177,178,179,180,181,182,37,183,184,185,186,187,25,111,188,24,189],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":194,"sourceHtmlUrl":195,"categories":196,"keywords":198,"publishedAt":41},"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",[197],{"categoryNo":172,"categoryName":173,"taxonomyType":85,"taxonomyTypeDesc":86},[192,199,200,201,202,203,204,133,205,206,23,207,208,209,210,111,211],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":78,"licenseFileUrl":216,"sourceHtmlUrl":217,"categories":218,"keywords":225,"publishedAt":41},"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",[219,222],{"categoryNo":220,"categoryName":221,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":223,"categoryName":224,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000016","图像与多媒体",[226,227,228,176,229,104,230,231,181,23,232,187,233,234,235,111,236,24],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]