[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H6H1DEGP7YA5KFPK2RNHBX":3,"skill-same:01M6H6H1DEGP7YA5KFPK2RNHBX":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6H6H1DEGP7YA5KFPK2RNHBX","firecrawl-performance-tuning",null,"Optimize FireCrawl API performance with caching, batching, and connection pooling.\nUse when experiencing slow API responses, implementing caching strategies,\nor optimizing request throughput for FireCrawl integrations.\nTrigger with phrases like \"firecrawl performance\", \"optimize firecrawl\",\n\"firecrawl latency\", \"firecrawl caching\", \"firecrawl slow\", \"firecrawl batch\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Ffirecrawl-pack\u002Fskills\u002Ffirecrawl-performance-tuning\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"performance","firecrawl performance tuning","tuning","performance tuning","firecrawl","implementing","openclaw","throughput","io","connection pooling","strategies","caching","optimize","edit","write","read","integrations","api","batch","code","2026-11-10 10:12:30",false,"---\nname: firecrawl-performance-tuning\ndescription: |\n  Optimize FireCrawl API performance with caching, batching, and connection pooling.\n  Use when experiencing slow API responses, implementing caching strategies,\n  or optimizing request throughput for FireCrawl integrations.\n  Trigger with phrases like \"firecrawl performance\", \"optimize firecrawl\",\n  \"firecrawl latency\", \"firecrawl caching\", \"firecrawl slow\", \"firecrawl batch\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# FireCrawl Performance Tuning\n\n## Overview\nOptimize FireCrawl API performance with caching, batching, and connection pooling.\n\n## Prerequisites\n- FireCrawl 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,  # 1000: 1 second in ms\n  ttl: 60000, \u002F\u002F 1 minute  # 60000: 1 minute in ms\n  updateAgeOnGet: true,\n});\n\nasync function cachedFireCrawlRequest\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 firecrawlLoader = new DataLoader\u003Cstring, any>(\n  async (ids) => {\n    \u002F\u002F Batch fetch from FireCrawl\n    const results = await firecrawlClient.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  firecrawlLoader.load('id-1'),\n  firecrawlLoader.load('id-2'),\n  firecrawlLoader.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,  # 30000: 30 seconds in ms\n});\n\nconst client = new FireCrawlClient({\n  apiKey: process.env.FIRECRAWL_API_KEY!,\n  httpAgent: agent,\n});\n```\n\n## Pagination Optimization\n\n```typescript\nasync function* paginatedFireCrawlList\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 paginatedFireCrawlList(cursor =>\n  firecrawlClient.list({ cursor, limit: 100 })\n)) {\n  await process(item);\n}\n```\n\n## Performance Monitoring\n\n```typescript\nasync function measuredFireCrawlCall\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 FireCrawl 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  measuredFireCrawlCall(name, () =>\n    cachedFireCrawlRequest(`cache:${name}`, fn)\n  );\n```\n\n## Resources\n- [FireCrawl Performance Guide](https:\u002F\u002Fdocs.firecrawl.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 `firecrawl-cost-tuning`.","# FireCrawl Performance Tuning\n\n## Overview\nOptimize FireCrawl API performance with caching, batching, and connection pooling.\n\n## Prerequisites\n- FireCrawl 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,  # 1000: 1 second in ms\n  ttl: 60000, \u002F\u002F 1 minute  # 60000: 1 minute in ms\n  updateAgeOnGet: true,\n});\n\nasync function cachedFireCrawlRequest\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 firecrawlLoader = new DataLoader\u003Cstring, any>(\n  async (ids) => {\n    \u002F\u002F Batch fetch from FireCrawl\n    const results = await firecrawlClient.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  firecrawlLoader.load('id-1'),\n  firecrawlLoader.load('id-2'),\n  firecrawlLoader.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,  # 30000: 30 seconds in ms\n});\n\nconst client = new FireCrawlClient({\n  apiKey: process.env.FIRECRAWL_API_KEY!,\n  httpAgent: agent,\n});\n```\n\n## Pagination Optimization\n\n```typescript\nasync function* paginatedFireCrawlList\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 paginatedFireCrawlList(cursor =>\n  firecrawlClient.list({ cursor, limit: 100 })\n)) {\n  await process(item);\n}\n```\n\n## Performance Monitoring\n\n```typescript\nasync function measuredFireCrawlCall\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 FireCrawl 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  measuredFireCrawlCall(name, () =>\n    cachedFireCrawlRequest(`cache:${name}`, fn)\n  );\n```\n\n## Resources\n- [FireCrawl Performance Guide](https:\u002F\u002Fdocs.firecrawl.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 `firecrawl-cost-tuning`.",{"name":5,"author":43,"license":14,"version":44,"description":45,"allowed-tools":46,"compatible-with":47},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Optimize FireCrawl API performance with caching, batching, and connection pooling.\nUse when experiencing slow API responses, implementing caching strategies,\nor optimizing request throughput for FireCrawl integrations.\nTrigger with phrases like \"firecrawl performance\", \"optimize firecrawl\",\n\"firecrawl latency\", \"firecrawl caching\", \"firecrawl slow\", \"firecrawl batch\".\n","Read, Write, Edit","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Ffirecrawl-pack\u002Fskills\u002Ffirecrawl-performance-tuning",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add micsapp\u002Fmicstec-skills --skill firecrawl-performance-tuning",{"tool":61,"command":62},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill firecrawl-performance-tuning",{"tool":64,"command":65},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill firecrawl-performance-tuning","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Ffirecrawl-pack\u002Fskills\u002Ffirecrawl-performance-tuning\u002FSKILL.md",true,[],[70,105,133,154,174,198],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":86,"publishedAt":38},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. Use when discussing APIM component selection, network topology, cost optimization, or comparing alternatives like workspaces vs instances, VNet Internal vs External mode, or Front Door vs Application Gateway.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fazure-apim-architecture\u002FSKILL.md",[76,81],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[87,88,89,90,91,92,93,94,95,35,96,97,98,99,100,101,28,102,103,104],"architecture","azure","azure apim architecture","component","authentication","gateway","topology","Optimization","network","team","environment","multi-environment","workspaces","instances","selection","azure api management","mode","for",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":119,"publishedAt":38},"01M6HBT7J4H082JEEA670B3EQ9","apiops-deployment","Guides deployment of Azure API Management infrastructure using Infrastructure as Code (Bicep\u002FTerraform), CI\u002FCD pipelines (GitHub Actions\u002FAzure DevOps), and APIOps workflows. Use when deploying APIM, creating pipelines, or implementing dev→test→prod promotion strategies.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapiops-deployment\u002FSKILL.md",[111,112,115,118],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":113,"categoryName":114,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":116,"categoryName":117,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},[120,121,122,123,88,124,37,125,126,127,128,129,35,96,28,130,131,102,132,23],"deployment","apiops deployment","workflows","azure devops","infrastructure","infrastructure as code","actions","ci","github actions","github-actions","as","guides","CI\u002FCD",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":140,"publishedAt":38},"01M6HBT2HEA23THNE9E00GYQBE","apim-policy-authoring","Creates production-ready Azure API Management policy XML for authentication (OAuth 2.0, JWT validation, subscription keys), rate limiting, CORS configuration, error handling, and API transformations. 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Use when performing security audits, pre-deployment validation, or compliance reviews.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapi-security-review\u002FSKILL.md",[160,161],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},[163,144,164,35,148,165,88,120,166,167,168,169,96,170,102,171,172,173,103,104],"review","security review","api security review","benchmark","verification","owasp","owasp-api","alignment","azure security","reviews","top",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":180,"publishedAt":38},"01M6HBSRW4PDFE6K4F8JYPZQ05","jira-cli","Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fjira-cli\u002FSKILL.md",[],[181,182,183,122,184,185,186,187,35,188,189,190,31,191,192,193,194,195,196,197],"cli","jira","jira cli","init","tasks","create","issues","common","work","command","list","view","project","project work","token","line","sprints",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":204,"publishedAt":38},"01M6HBSNS3JHMW603G47TWE31H","calculator","Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fcalculator\u002FSKILL.md",[],[200,205,206,207,208,209,210,146,211,212],"npm","js","calculate","node","math","user","compute","errors"]