[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F794ASE7FZEFSNB2VC6116":3,"skill-same:01M6F794ASE7FZEFSNB2VC6116":75},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":58,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6F794ASE7FZEFSNB2VC6116","ideogram-performance-tuning",null,"Optimize Ideogram API performance with caching, batching, and connection pooling.\nUse when experiencing slow API responses, implementing caching strategies,\nor optimizing request throughput for Ideogram integrations.\nTrigger with phrases like \"ideogram performance\", \"optimize ideogram\",\n\"ideogram latency\", \"ideogram caching\", \"ideogram slow\", \"ideogram batch\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1979,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fideogram-pack\u002Fskills\u002Fideogram-performance-tuning\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"tuning","ideogram performance tuning","performance tuning","performance","caching strategies","when","request","pooling","implementing","throughput","trigger","io","latency","connection pooling","strategies","caching","optimize","use","edit","write","read","integrations","api","batch","2026-11-10 10:12:30",false,"---\nname: ideogram-performance-tuning\ndescription: |\n  Optimize Ideogram API performance with caching, batching, and connection pooling.\n  Use when experiencing slow API responses, implementing caching strategies,\n  or optimizing request throughput for Ideogram integrations.\n  Trigger with phrases like \"ideogram performance\", \"optimize ideogram\",\n  \"ideogram latency\", \"ideogram caching\", \"ideogram slow\", \"ideogram batch\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n\n# Ideogram Performance Tuning\n\n## Overview\nOptimize Ideogram API performance with caching, batching, and connection pooling.\n\n## Prerequisites\n- Ideogram SDK installed\n- Understanding of async patterns\n- Redis or in-memory cache available (optional)\n- Performance monitoring in place\n\n## Latency Benchmarks\n\n| Operation | P50 | P95 | P99 |\n|-----------|-----|-----|-----|\n| Read | 50ms | 150ms | 300ms |\n| Write | 100ms | 250ms | 500ms |\n| List | 75ms | 200ms | 400ms |\n\n## Caching Strategy\n\n### Response Caching\n```typescript\nimport { LRUCache } from 'lru-cache';\n\nconst cache = new LRUCache\u003Cstring, any>({\n  max: 1000,\n  ttl: 60000, \u002F\u002F 1 minute\n  updateAgeOnGet: true,\n});\n\nasync function cachedIdeogramRequest\u003CT>(\n  key: string,\n  fetcher: () => Promise\u003CT>,\n  ttl?: number\n): Promise\u003CT> {\n  const cached = cache.get(key);\n  if (cached) return cached as T;\n\n  const result = await fetcher();\n  cache.set(key, result, { ttl });\n  return result;\n}\n```\n\n### Redis Caching (Distributed)\n```typescript\nimport Redis from 'ioredis';\n\nconst redis = new Redis(process.env.REDIS_URL);\n\nasync function cachedWithRedis\u003CT>(\n  key: string,\n  fetcher: () => Promise\u003CT>,\n  ttlSeconds = 60\n): Promise\u003CT> {\n  const cached = await redis.get(key);\n  if (cached) return JSON.parse(cached);\n\n  const result = await fetcher();\n  await redis.setex(key, ttlSeconds, JSON.stringify(result));\n  return result;\n}\n```\n\n## Request Batching\n\n```typescript\nimport DataLoader from 'dataloader';\n\nconst ideogramLoader = new DataLoader\u003Cstring, any>(\n  async (ids) => {\n    \u002F\u002F Batch fetch from Ideogram\n    const results = await ideogramClient.batchGet(ids);\n    return ids.map(id => results.find(r => r.id === id) || null);\n  },\n  {\n    maxBatchSize: 100,\n    batchScheduleFn: callback => setTimeout(callback, 10),\n  }\n);\n\n\u002F\u002F Usage - automatically batched\nconst [item1, item2, item3] = await Promise.all([\n  ideogramLoader.load('id-1'),\n  ideogramLoader.load('id-2'),\n  ideogramLoader.load('id-3'),\n]);\n```\n\n## Connection Optimization\n\n```typescript\nimport { Agent } from 'https';\n\n\u002F\u002F Keep-alive connection pooling\nconst agent = new Agent({\n  keepAlive: true,\n  maxSockets: 10,\n  maxFreeSockets: 5,\n  timeout: 30000,\n});\n\nconst client = new IdeogramClient({\n  apiKey: process.env.IDEOGRAM_API_KEY!,\n  httpAgent: agent,\n});\n```\n\n## Pagination Optimization\n\n```typescript\nasync function* paginatedIdeogramList\u003CT>(\n  fetcher: (cursor?: string) => Promise\u003C{ data: T[]; nextCursor?: string }>\n): AsyncGenerator\u003CT> {\n  let cursor: string | undefined;\n\n  do {\n    const { data, nextCursor } = await fetcher(cursor);\n    for (const item of data) {\n      yield item;\n    }\n    cursor = nextCursor;\n  } while (cursor);\n}\n\n\u002F\u002F Usage\nfor await (const item of paginatedIdeogramList(cursor =>\n  ideogramClient.list({ cursor, limit: 100 })\n)) {\n  await process(item);\n}\n```\n\n## Performance Monitoring\n\n```typescript\nasync function measuredIdeogramCall\u003CT>(\n  operation: string,\n  fn: () => Promise\u003CT>\n): Promise\u003CT> {\n  const start = performance.now();\n  try {\n    const result = await fn();\n    const duration = performance.now() - start;\n    console.log({ operation, duration, status: 'success' });\n    return result;\n  } catch (error) {\n    const duration = performance.now() - start;\n    console.error({ operation, duration, status: 'error', error });\n    throw error;\n  }\n}\n```\n\n## Instructions\n\n### Step 1: Establish Baseline\nMeasure current latency for critical Ideogram operations.\n\n### Step 2: Implement Caching\nAdd response caching for frequently accessed data.\n\n### Step 3: Enable Batching\nUse DataLoader or similar for automatic request batching.\n\n### Step 4: Optimize Connections\nConfigure connection pooling with keep-alive.\n\n## Output\n- Reduced API latency\n- Caching layer implemented\n- Request batching enabled\n- Connection pooling configured\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Cache miss storm | TTL expired | Use stale-while-revalidate |\n| Batch timeout | Too many items | Reduce batch size |\n| Connection exhausted | No pooling | Configure max sockets |\n| Memory pressure | Cache too large | Set max cache entries |\n\n## Examples\n\n### Quick Performance Wrapper\n```typescript\nconst withPerformance = \u003CT>(name: string, fn: () => Promise\u003CT>) =>\n  measuredIdeogramCall(name, () =>\n    cachedIdeogramRequest(`cache:${name}`, fn)\n  );\n```\n\n## Resources\n- [Ideogram Performance Guide](https:\u002F\u002Fdocs.ideogram.com\u002Fperformance)\n- [DataLoader Documentation](https:\u002F\u002Fgithub.com\u002Fgraphql\u002Fdataloader)\n- [LRU Cache Documentation](https:\u002F\u002Fgithub.com\u002Fisaacs\u002Fnode-lru-cache)\n\n## Next Steps\nFor cost optimization, see `ideogram-cost-tuning`.","# Ideogram Performance Tuning\n\n## Overview\nOptimize Ideogram API performance with caching, batching, and connection pooling.\n\n## Prerequisites\n- Ideogram SDK installed\n- Understanding of async patterns\n- Redis or in-memory cache available (optional)\n- Performance monitoring in place\n\n## Latency Benchmarks\n\n| Operation | P50 | P95 | P99 |\n|-----------|-----|-----|-----|\n| Read | 50ms | 150ms | 300ms |\n| Write | 100ms | 250ms | 500ms |\n| List | 75ms | 200ms | 400ms |\n\n## Caching Strategy\n\n### Response Caching\n```typescript\nimport { LRUCache } from 'lru-cache';\n\nconst cache = new LRUCache\u003Cstring, any>({\n  max: 1000,\n  ttl: 60000, \u002F\u002F 1 minute\n  updateAgeOnGet: true,\n});\n\nasync function cachedIdeogramRequest\u003CT>(\n  key: string,\n  fetcher: () => Promise\u003CT>,\n  ttl?: number\n): Promise\u003CT> {\n  const cached = cache.get(key);\n  if (cached) return cached as T;\n\n  const result = await fetcher();\n  cache.set(key, result, { ttl });\n  return result;\n}\n```\n\n### Redis Caching (Distributed)\n```typescript\nimport Redis from 'ioredis';\n\nconst redis = new Redis(process.env.REDIS_URL);\n\nasync function cachedWithRedis\u003CT>(\n  key: string,\n  fetcher: () => Promise\u003CT>,\n  ttlSeconds = 60\n): Promise\u003CT> {\n  const cached = await redis.get(key);\n  if (cached) return JSON.parse(cached);\n\n  const result = await fetcher();\n  await redis.setex(key, ttlSeconds, JSON.stringify(result));\n  return result;\n}\n```\n\n## Request Batching\n\n```typescript\nimport DataLoader from 'dataloader';\n\nconst ideogramLoader = new DataLoader\u003Cstring, any>(\n  async (ids) => {\n    \u002F\u002F Batch fetch from Ideogram\n    const results = await ideogramClient.batchGet(ids);\n    return ids.map(id => results.find(r => r.id === id) || null);\n  },\n  {\n    maxBatchSize: 100,\n    batchScheduleFn: callback => setTimeout(callback, 10),\n  }\n);\n\n\u002F\u002F Usage - automatically batched\nconst [item1, item2, item3] = await Promise.all([\n  ideogramLoader.load('id-1'),\n  ideogramLoader.load('id-2'),\n  ideogramLoader.load('id-3'),\n]);\n```\n\n## Connection Optimization\n\n```typescript\nimport { Agent } from 'https';\n\n\u002F\u002F Keep-alive connection pooling\nconst agent = new Agent({\n  keepAlive: true,\n  maxSockets: 10,\n  maxFreeSockets: 5,\n  timeout: 30000,\n});\n\nconst client = new IdeogramClient({\n  apiKey: process.env.IDEOGRAM_API_KEY!,\n  httpAgent: agent,\n});\n```\n\n## Pagination Optimization\n\n```typescript\nasync function* paginatedIdeogramList\u003CT>(\n  fetcher: (cursor?: string) => Promise\u003C{ data: T[]; nextCursor?: string }>\n): AsyncGenerator\u003CT> {\n  let cursor: string | undefined;\n\n  do {\n    const { data, nextCursor } = await fetcher(cursor);\n    for (const item of data) {\n      yield item;\n    }\n    cursor = nextCursor;\n  } while (cursor);\n}\n\n\u002F\u002F Usage\nfor await (const item of paginatedIdeogramList(cursor =>\n  ideogramClient.list({ cursor, limit: 100 })\n)) {\n  await process(item);\n}\n```\n\n## Performance Monitoring\n\n```typescript\nasync function measuredIdeogramCall\u003CT>(\n  operation: string,\n  fn: () => Promise\u003CT>\n): Promise\u003CT> {\n  const start = performance.now();\n  try {\n    const result = await fn();\n    const duration = performance.now() - start;\n    console.log({ operation, duration, status: 'success' });\n    return result;\n  } catch (error) {\n    const duration = performance.now() - start;\n    console.error({ operation, duration, status: 'error', error });\n    throw error;\n  }\n}\n```\n\n## Instructions\n\n### Step 1: Establish Baseline\nMeasure current latency for critical Ideogram operations.\n\n### Step 2: Implement Caching\nAdd response caching for frequently accessed data.\n\n### Step 3: Enable Batching\nUse DataLoader or similar for automatic request batching.\n\n### Step 4: Optimize Connections\nConfigure connection pooling with keep-alive.\n\n## Output\n- Reduced API latency\n- Caching layer implemented\n- Request batching enabled\n- Connection pooling configured\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Cache miss storm | TTL expired | Use stale-while-revalidate |\n| Batch timeout | Too many items | Reduce batch size |\n| Connection exhausted | No pooling | Configure max sockets |\n| Memory pressure | Cache too large | Set max cache entries |\n\n## Examples\n\n### Quick Performance Wrapper\n```typescript\nconst withPerformance = \u003CT>(name: string, fn: () => Promise\u003CT>) =>\n  measuredIdeogramCall(name, () =>\n    cachedIdeogramRequest(`cache:${name}`, fn)\n  );\n```\n\n## Resources\n- [Ideogram Performance Guide](https:\u002F\u002Fdocs.ideogram.com\u002Fperformance)\n- [DataLoader Documentation](https:\u002F\u002Fgithub.com\u002Fgraphql\u002Fdataloader)\n- [LRU Cache Documentation](https:\u002F\u002Fgithub.com\u002Fisaacs\u002Fnode-lru-cache)\n\n## Next Steps\nFor cost optimization, see `ideogram-cost-tuning`.",{"name":5,"author":48,"license":15,"version":49,"description":50,"allowed-tools":51},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Optimize Ideogram API performance with caching, batching, and connection pooling.\nUse when experiencing slow API responses, implementing caching strategies,\nor optimizing request throughput for Ideogram integrations.\nTrigger with phrases like \"ideogram performance\", \"optimize ideogram\",\n\"ideogram latency\", \"ideogram caching\", \"ideogram slow\", \"ideogram batch\".\n","Read, Write, Edit","main","90b50ed0778745a80fd5bfb13b1843d45b9e82f7","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fsaas-packs\u002Fideogram-pack\u002Fskills\u002Fideogram-performance-tuning",231,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-11 01:23:40",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill ideogram-performance-tuning",{"tool":67,"command":68},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill ideogram-performance-tuning",{"tool":70,"command":71},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill ideogram-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\u002Fideogram-pack\u002Fskills\u002Fideogram-performance-tuning\u002FSKILL.md",true,[],[76,116,141,167,193,215],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":80,"licenseFileUrl":81,"sourceHtmlUrl":82,"categories":83,"keywords":89,"publishedAt":43},"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). 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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",[123,126],{"categoryNo":124,"categoryName":125,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[128,129,130,95,131,132,91,133,134,135,105,136,137,138,139,140,113],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":145,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":43},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. 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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",[200],{"categoryNo":175,"categoryName":176,"taxonomyType":87,"taxonomyTypeDesc":88},[195,202,203,204,205,206,207,135,208,209,36,210,211,212,213,113,214],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":80,"licenseFileUrl":219,"sourceHtmlUrl":220,"categories":221,"keywords":228,"publishedAt":43},"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",[222,225],{"categoryNo":223,"categoryName":224,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":226,"categoryName":227,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000016","图像与多媒体",[229,230,231,179,232,106,233,234,184,36,235,190,236,237,238,113,25,24],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts"]