[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F7M9ZX6FWM8ASETGQZGEBM":3,"skill-same:01M6F7M9ZX6FWM8ASETGQZGEBM":82},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":63,"repositoryHomepageUrl":64,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":66,"updatedAt":67,"install":68,"resources":81},"01M6F7M9ZX6FWM8ASETGQZGEBM","bamboohr-cost-tuning",null,"Optimize BambooHR integration costs through request reduction, caching,\nand usage monitoring. Use when analyzing API usage patterns, reducing\nunnecessary calls, or implementing request budgets.\nTrigger with phrases like \"bamboohr cost\", \"bamboohr usage\",\n\"reduce bamboohr calls\", \"bamboohr optimization\", \"bamboohr budget\".","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fbamboohr-cost-tuning\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000040","财务",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"cost","bamboohr cost tuning","bamboohr","tuning","saas","analyzing","Budget","api","read","use","code","patterns","optimize","caching","io","trigger","hr","with","Optimization","monitoring","2026-11-10 10:12:30",false,"---\nname: bamboohr-cost-tuning\ndescription: |\n  Optimize BambooHR integration costs through request reduction, caching,\n  and usage monitoring. Use when analyzing API usage patterns, reducing\n  unnecessary calls, or implementing request budgets.\n  Trigger with phrases like \"bamboohr cost\", \"bamboohr usage\",\n  \"reduce bamboohr calls\", \"bamboohr optimization\", \"bamboohr budget\".\nallowed-tools: Read, Grep\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ntags: [saas, hr, bamboohr, optimization]\ncompatible-with: claude-code\n---\n\n# BambooHR Cost Tuning\n\n## Overview\n\nBambooHR pricing is per-employee-per-month (not per-API-call), but excessive API usage triggers rate limiting (503 errors) which causes sync failures and operational issues. This skill covers reducing API call volume, monitoring usage, and building efficient sync patterns.\n\n## Prerequisites\n\n- BambooHR integration in production\n- Understanding of current API usage patterns\n- Application logging capturing API calls\n\n## Instructions\n\n### Step 1: Understand BambooHR Pricing\n\nBambooHR charges by **employee count**, not API calls:\n\n| Plan | Pricing Model | API Access |\n|------|--------------|------------|\n| Essentials | Per employee\u002Fmonth | Full REST API |\n| Advantage | Per employee\u002Fmonth | Full REST API + advanced reports |\n| Custom\u002FEnterprise | Negotiated | Full API + dedicated support |\n\n**Key insight:** API call volume does not directly affect your bill, but hitting rate limits causes operational failures. Optimize for reliability, not cost.\n\n### Step 2: Audit Current API Usage\n\n```typescript\n\u002F\u002F Instrument your client to log all API calls\nclass InstrumentedBambooHRClient {\n  private callLog: { endpoint: string; method: string; timestamp: number; durationMs: number }[] = [];\n\n  async request\u003CT>(method: string, path: string, body?: unknown): Promise\u003CT> {\n    const start = Date.now();\n    const result = await this.innerClient.request\u003CT>(method, path, body);\n    this.callLog.push({\n      endpoint: path.split('?')[0], \u002F\u002F Strip query params\n      method,\n      timestamp: start,\n      durationMs: Date.now() - start,\n    });\n    return result;\n  }\n\n  generateReport(): void {\n    \u002F\u002F Group by endpoint\n    const byEndpoint = new Map\u003Cstring, number>();\n    for (const call of this.callLog) {\n      const key = `${call.method} ${call.endpoint}`;\n      byEndpoint.set(key, (byEndpoint.get(key) || 0) + 1);\n    }\n\n    console.log('\\n=== BambooHR API Usage Report ===');\n    console.log(`Total calls: ${this.callLog.length}`);\n    console.log(`Time window: ${((Date.now() - this.callLog[0]?.timestamp || 0) \u002F 1000 \u002F 60).toFixed(1)} minutes`);\n    console.log('\\nBy endpoint:');\n    for (const [endpoint, count] of [...byEndpoint.entries()].sort((a, b) => b[1] - a[1])) {\n      const pct = ((count \u002F this.callLog.length) * 100).toFixed(1);\n      console.log(`  ${count.toString().padStart(5)} (${pct}%)  ${endpoint}`);\n    }\n  }\n}\n```\n\n### Step 3: Eliminate Wasteful Patterns\n\n**Pattern 1: Replace polling with webhooks**\n\n```typescript\n\u002F\u002F BAD: Polling every 5 minutes (288 calls\u002Fday minimum)\nsetInterval(async () => {\n  const dir = await client.getDirectory();\n  checkForChanges(dir);\n}, 5 * 60 * 1000);\n\n\u002F\u002F GOOD: Use webhooks for real-time changes (0 polling calls)\n\u002F\u002F See bamboohr-webhooks-events skill\n\u002F\u002F Only poll as a fallback safety net (once per hour)\nsetInterval(async () => {\n  const changed = await client.request('GET',\n    `\u002Femployees\u002Fchanged\u002F?since=${lastSync}`);\n  \u002F\u002F Only process if webhook missed something\n}, 60 * 60 * 1000);\n```\n\n**Pattern 2: Request only needed fields**\n\n```typescript\n\u002F\u002F BAD: Requesting all fields when you only need 3\nconst emp = await client.getEmployee(id, [\n  'firstName', 'lastName', 'displayName', 'jobTitle', 'department',\n  'division', 'location', 'workEmail', 'homeEmail', 'mobilePhone',\n  'hireDate', 'payRate', 'payType', 'ssn', 'dateOfBirth', \u002F\u002F ...etc\n]);\n\n\u002F\u002F GOOD: Only request what you use\nconst emp = await client.getEmployee(id, ['firstName', 'lastName', 'workEmail']);\n```\n\n**Pattern 3: Cache the directory**\n\n```typescript\n\u002F\u002F BAD: Fetching directory on every page load\napp.get('\u002Femployees', async (req, res) => {\n  const dir = await client.getDirectory(); \u002F\u002F Called 1000x\u002Fday\n  res.json(dir.employees);\n});\n\n\u002F\u002F GOOD: Cache with webhook-based invalidation\nlet cachedDirectory: any = null;\nlet cacheTimestamp = 0;\n\nasync function getDirectory() {\n  if (cachedDirectory && Date.now() - cacheTimestamp \u003C 5 * 60 * 1000) {\n    return cachedDirectory;\n  }\n  cachedDirectory = await client.getDirectory();\n  cacheTimestamp = Date.now();\n  return cachedDirectory;\n}\n\n\u002F\u002F Invalidate on webhook\nfunction onWebhookReceived() {\n  cachedDirectory = null;\n}\n```\n\n**Pattern 4: Use custom reports for bulk data**\n\n```typescript\n\u002F\u002F BAD: 500 individual employee GETs\nfor (const id of employeeIds) {\n  await client.getEmployee(id, ['firstName', 'department']);\n}\n\n\u002F\u002F GOOD: 1 custom report\nconst all = await client.customReport(['firstName', 'lastName', 'department']);\n```\n\n### Step 4: Implement Request Budget\n\n```typescript\nclass RequestBudget {\n  private count = 0;\n  private windowStart = Date.now();\n  private readonly maxPerHour: number;\n\n  constructor(maxPerHour = 500) {\n    this.maxPerHour = maxPerHour;\n  }\n\n  async acquire(): Promise\u003Cvoid> {\n    \u002F\u002F Reset counter every hour\n    if (Date.now() - this.windowStart > 3600_000) {\n      this.count = 0;\n      this.windowStart = Date.now();\n    }\n\n    if (this.count >= this.maxPerHour) {\n      const waitMs = 3600_000 - (Date.now() - this.windowStart);\n      console.warn(`Request budget exhausted. Waiting ${(waitMs \u002F 1000).toFixed(0)}s`);\n      await new Promise(r => setTimeout(r, waitMs));\n      this.count = 0;\n      this.windowStart = Date.now();\n    }\n\n    this.count++;\n  }\n\n  stats() {\n    return {\n      used: this.count,\n      budget: this.maxPerHour,\n      remaining: this.maxPerHour - this.count,\n      windowResetIn: Math.max(0, 3600_000 - (Date.now() - this.windowStart)),\n    };\n  }\n}\n\nconst budget = new RequestBudget(500);\n\n\u002F\u002F Wrap all BambooHR calls\nasync function budgetedRequest\u003CT>(operation: () => Promise\u003CT>): Promise\u003CT> {\n  await budget.acquire();\n  return operation();\n}\n```\n\n### Step 5: Usage Dashboard Query\n\n```sql\n-- If logging API calls to a database\nSELECT\n  DATE_TRUNC('hour', timestamp) AS hour,\n  endpoint,\n  COUNT(*) AS calls,\n  AVG(duration_ms) AS avg_latency,\n  COUNT(*) FILTER (WHERE status >= 400) AS errors,\n  COUNT(*) FILTER (WHERE status = 503) AS rate_limits\nFROM bamboohr_api_log\nWHERE timestamp >= NOW() - INTERVAL '7 days'\nGROUP BY 1, 2\nORDER BY 1 DESC, calls DESC;\n```\n\n## Output\n\n- API usage audit identifying wasteful patterns\n- Polling replaced with webhooks where possible\n- Request budget preventing rate limit hits\n- Field-level optimization (request only needed data)\n- Caching with webhook-based invalidation\n\n## Optimization Impact Summary\n\n| Optimization | Calls Before | Calls After | Reduction |\n|-------------|-------------|-------------|-----------|\n| Webhooks vs polling | 288\u002Fday | 24\u002Fday (safety net) | 92% |\n| Custom reports vs N+1 | 501\u002Fsync | 1\u002Fsync | 99.8% |\n| Directory caching | 1000\u002Fday | 12\u002Fday | 98.8% |\n| Incremental sync | Full pull | Delta only | 90-99% |\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Budget exhausted | High-traffic feature | Increase budget or add caching |\n| Stale cached data | Cache TTL too long | Reduce TTL or invalidate on webhook |\n| Webhook delivery gaps | BambooHR delivery failure | Keep hourly polling as fallback |\n| Rate limit during sync | Too many parallel requests | Use queue with concurrency limit |\n\n## Resources\n\n- [BambooHR Pricing](https:\u002F\u002Fwww.bamboohr.com\u002Fpricing)\n- [BambooHR API Technical Overview](https:\u002F\u002Fdocumentation.bamboohr.com\u002Fdocs\u002Fapi-details)\n\n## Next Steps\n\nFor architecture patterns, see `bamboohr-reference-architecture`.\n\n","# BambooHR Cost Tuning\n\n## Overview\n\nBambooHR pricing is per-employee-per-month (not per-API-call), but excessive API usage triggers rate limiting (503 errors) which causes sync failures and operational issues. This skill covers reducing API call volume, monitoring usage, and building efficient sync patterns.\n\n## Prerequisites\n\n- BambooHR integration in production\n- Understanding of current API usage patterns\n- Application logging capturing API calls\n\n## Instructions\n\n### Step 1: Understand BambooHR Pricing\n\nBambooHR charges by **employee count**, not API calls:\n\n| Plan | Pricing Model | API Access |\n|------|--------------|------------|\n| Essentials | Per employee\u002Fmonth | Full REST API |\n| Advantage | Per employee\u002Fmonth | Full REST API + advanced reports |\n| Custom\u002FEnterprise | Negotiated | Full API + dedicated support |\n\n**Key insight:** API call volume does not directly affect your bill, but hitting rate limits causes operational failures. Optimize for reliability, not cost.\n\n### Step 2: Audit Current API Usage\n\n```typescript\n\u002F\u002F Instrument your client to log all API calls\nclass InstrumentedBambooHRClient {\n  private callLog: { endpoint: string; method: string; timestamp: number; durationMs: number }[] = [];\n\n  async request\u003CT>(method: string, path: string, body?: unknown): Promise\u003CT> {\n    const start = Date.now();\n    const result = await this.innerClient.request\u003CT>(method, path, body);\n    this.callLog.push({\n      endpoint: path.split('?')[0], \u002F\u002F Strip query params\n      method,\n      timestamp: start,\n      durationMs: Date.now() - start,\n    });\n    return result;\n  }\n\n  generateReport(): void {\n    \u002F\u002F Group by endpoint\n    const byEndpoint = new Map\u003Cstring, number>();\n    for (const call of this.callLog) {\n      const key = `${call.method} ${call.endpoint}`;\n      byEndpoint.set(key, (byEndpoint.get(key) || 0) + 1);\n    }\n\n    console.log('\\n=== BambooHR API Usage Report ===');\n    console.log(`Total calls: ${this.callLog.length}`);\n    console.log(`Time window: ${((Date.now() - this.callLog[0]?.timestamp || 0) \u002F 1000 \u002F 60).toFixed(1)} minutes`);\n    console.log('\\nBy endpoint:');\n    for (const [endpoint, count] of [...byEndpoint.entries()].sort((a, b) => b[1] - a[1])) {\n      const pct = ((count \u002F this.callLog.length) * 100).toFixed(1);\n      console.log(`  ${count.toString().padStart(5)} (${pct}%)  ${endpoint}`);\n    }\n  }\n}\n```\n\n### Step 3: Eliminate Wasteful Patterns\n\n**Pattern 1: Replace polling with webhooks**\n\n```typescript\n\u002F\u002F BAD: Polling every 5 minutes (288 calls\u002Fday minimum)\nsetInterval(async () => {\n  const dir = await client.getDirectory();\n  checkForChanges(dir);\n}, 5 * 60 * 1000);\n\n\u002F\u002F GOOD: Use webhooks for real-time changes (0 polling calls)\n\u002F\u002F See bamboohr-webhooks-events skill\n\u002F\u002F Only poll as a fallback safety net (once per hour)\nsetInterval(async () => {\n  const changed = await client.request('GET',\n    `\u002Femployees\u002Fchanged\u002F?since=${lastSync}`);\n  \u002F\u002F Only process if webhook missed something\n}, 60 * 60 * 1000);\n```\n\n**Pattern 2: Request only needed fields**\n\n```typescript\n\u002F\u002F BAD: Requesting all fields when you only need 3\nconst emp = await client.getEmployee(id, [\n  'firstName', 'lastName', 'displayName', 'jobTitle', 'department',\n  'division', 'location', 'workEmail', 'homeEmail', 'mobilePhone',\n  'hireDate', 'payRate', 'payType', 'ssn', 'dateOfBirth', \u002F\u002F ...etc\n]);\n\n\u002F\u002F GOOD: Only request what you use\nconst emp = await client.getEmployee(id, ['firstName', 'lastName', 'workEmail']);\n```\n\n**Pattern 3: Cache the directory**\n\n```typescript\n\u002F\u002F BAD: Fetching directory on every page load\napp.get('\u002Femployees', async (req, res) => {\n  const dir = await client.getDirectory(); \u002F\u002F Called 1000x\u002Fday\n  res.json(dir.employees);\n});\n\n\u002F\u002F GOOD: Cache with webhook-based invalidation\nlet cachedDirectory: any = null;\nlet cacheTimestamp = 0;\n\nasync function getDirectory() {\n  if (cachedDirectory && Date.now() - cacheTimestamp \u003C 5 * 60 * 1000) {\n    return cachedDirectory;\n  }\n  cachedDirectory = await client.getDirectory();\n  cacheTimestamp = Date.now();\n  return cachedDirectory;\n}\n\n\u002F\u002F Invalidate on webhook\nfunction onWebhookReceived() {\n  cachedDirectory = null;\n}\n```\n\n**Pattern 4: Use custom reports for bulk data**\n\n```typescript\n\u002F\u002F BAD: 500 individual employee GETs\nfor (const id of employeeIds) {\n  await client.getEmployee(id, ['firstName', 'department']);\n}\n\n\u002F\u002F GOOD: 1 custom report\nconst all = await client.customReport(['firstName', 'lastName', 'department']);\n```\n\n### Step 4: Implement Request Budget\n\n```typescript\nclass RequestBudget {\n  private count = 0;\n  private windowStart = Date.now();\n  private readonly maxPerHour: number;\n\n  constructor(maxPerHour = 500) {\n    this.maxPerHour = maxPerHour;\n  }\n\n  async acquire(): Promise\u003Cvoid> {\n    \u002F\u002F Reset counter every hour\n    if (Date.now() - this.windowStart > 3600_000) {\n      this.count = 0;\n      this.windowStart = Date.now();\n    }\n\n    if (this.count >= this.maxPerHour) {\n      const waitMs = 3600_000 - (Date.now() - this.windowStart);\n      console.warn(`Request budget exhausted. Waiting ${(waitMs \u002F 1000).toFixed(0)}s`);\n      await new Promise(r => setTimeout(r, waitMs));\n      this.count = 0;\n      this.windowStart = Date.now();\n    }\n\n    this.count++;\n  }\n\n  stats() {\n    return {\n      used: this.count,\n      budget: this.maxPerHour,\n      remaining: this.maxPerHour - this.count,\n      windowResetIn: Math.max(0, 3600_000 - (Date.now() - this.windowStart)),\n    };\n  }\n}\n\nconst budget = new RequestBudget(500);\n\n\u002F\u002F Wrap all BambooHR calls\nasync function budgetedRequest\u003CT>(operation: () => Promise\u003CT>): Promise\u003CT> {\n  await budget.acquire();\n  return operation();\n}\n```\n\n### Step 5: Usage Dashboard Query\n\n```sql\n-- If logging API calls to a database\nSELECT\n  DATE_TRUNC('hour', timestamp) AS hour,\n  endpoint,\n  COUNT(*) AS calls,\n  AVG(duration_ms) AS avg_latency,\n  COUNT(*) FILTER (WHERE status >= 400) AS errors,\n  COUNT(*) FILTER (WHERE status = 503) AS rate_limits\nFROM bamboohr_api_log\nWHERE timestamp >= NOW() - INTERVAL '7 days'\nGROUP BY 1, 2\nORDER BY 1 DESC, calls DESC;\n```\n\n## Output\n\n- API usage audit identifying wasteful patterns\n- Polling replaced with webhooks where possible\n- Request budget preventing rate limit hits\n- Field-level optimization (request only needed data)\n- Caching with webhook-based invalidation\n\n## Optimization Impact Summary\n\n| Optimization | Calls Before | Calls After | Reduction |\n|-------------|-------------|-------------|-----------|\n| Webhooks vs polling | 288\u002Fday | 24\u002Fday (safety net) | 92% |\n| Custom reports vs N+1 | 501\u002Fsync | 1\u002Fsync | 99.8% |\n| Directory caching | 1000\u002Fday | 12\u002Fday | 98.8% |\n| Incremental sync | Full pull | Delta only | 90-99% |\n\n## Error Handling\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| Budget exhausted | High-traffic feature | Increase budget or add caching |\n| Stale cached data | Cache TTL too long | Reduce TTL or invalidate on webhook |\n| Webhook delivery gaps | BambooHR delivery failure | Keep hourly polling as fallback |\n| Rate limit during sync | Too many parallel requests | Use queue with concurrency limit |\n\n## Resources\n\n- [BambooHR Pricing](https:\u002F\u002Fwww.bamboohr.com\u002Fpricing)\n- [BambooHR API Technical Overview](https:\u002F\u002Fdocumentation.bamboohr.com\u002Fdocs\u002Fapi-details)\n\n## Next Steps\n\nFor architecture patterns, see `bamboohr-reference-architecture`.\n\n",{"name":5,"tags":52,"author":54,"license":15,"version":55,"description":56,"allowed-tools":57,"compatible-with":58},[31,43,29,53],"optimization","Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Optimize BambooHR integration costs through request reduction, caching,\nand usage monitoring. 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