--- name: bamboohr-performance-tuning-6f041c7f53f8 description: >- Improve BambooHR sync throughput with dataset v2 projection, pagination, deterministic ordering, bounded concurrency, and measured caching. Use when an HR pipeline is slow or creates N+1 traffic. Trigger with "BambooHR performance", "BambooHR slow sync", or "optimize BambooHR pipeline". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: " " version: 1.5.0 license: MIT author: Jeremy Longshore tags: [saas, hr, bamboohr, performance, datasets] model: inherit effort: high compatibility: Designed for Claude Code --- # BambooHR Performance Tuning ## Overview Optimize from a measured request graph while preserving completeness and privacy. The first objective is usually eliminating per-employee fan-out, not raising concurrency against an unknown tenant limit. ## Prerequisites - The target repository or integration path and the requested operator outcome. - The tenant, identity, and data scope only when approved live work is in scope. - The current evidence register plus customer-specific permissions and agreements. ## Current Contract Dataset v2 returns selected fields with `links` and `meta` pagination and permits page sizes up to 1000 in the reviewed OpenAPI. Its request uses `filter`, `orderBy`, `page`, and `pageSize`. Dataset v1 data retrieval and custom-report paths carry deprecation notices and should not anchor new optimizations. ## Authentication Benchmark with the same auth mode and effective field permissions as production, but only in an approved test tenant or sanitized workload. Different identities can produce different shapes, so never compare results without recording the credential alias and permission set. ## Instructions 1. Establish baseline p50/p95 latency, request count by operation, page count, records and bytes received, retries, error rate, CPU/memory, destination time, and end-to-end freshness. 2. Draw the request graph. Replace N+1 employee reads with dataset v2 projections where the required fields and semantics are supported. 3. Minimize `fields`, add deterministic `orderBy`, and tune `pageSize` below the documented maximum based on payload, memory, latency, and `413` behavior. 4. Stream or page through data and commit checkpoints only after destination durability. Do not load the complete workforce into memory by default. 5. Cache stable metadata such as dataset/field definitions with a bounded TTL. Do not cache tokens or unrestricted employee payloads in a shared cache. 6. Add per-tenant concurrency control and reuse safe HTTP connections. Increase parallelism only during a measured canary and watch `429` and tail latency. 7. Compare exact record identities and reconciliation counts before and after. Roll back if freshness, completeness, permissions, or memory regresses. ## Tool Discipline Use Read, Glob, and Grep to inspect the request graph and current metrics. Use Write/Edit for approved instrumentation, query changes, and tests. This skill does not authorize a production benchmark or HR-data export. ## Approval Boundaries Require approval before querying production, changing field selection or cache retention, increasing concurrency, or replacing a source endpoint. Performance does not justify silently omitting inactive or future-dated records. ## Output Return baseline and candidate metrics, request-graph delta, selected fields and pagination, cache/concurrency policy, reconciliation proof, canary scope, rollback thresholds, and measured result. ## Error Handling - Faster but incomplete: reject the change and restore the last checkpoint. - `413`: lower page size/field count and remeasure. - Rising `429` or tail latency: reduce concurrency and open the circuit. - Schema drift: quarantine the page rather than skipping fields or records. ## Examples - "Make the nightly sync faster" begins with a request-count and reconciliation baseline. - "Run 100 workers" is replaced by a per-tenant canary with explicit stop thresholds. ## Resources Read [official evidence](references/official-docs.md) before altering data access. --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/bamboohr-pack/skills/bamboohr-performance-tuning/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2025 Jeremy Longshore Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/bamboohr-pack/skills/bamboohr-performance-tuning/SKILL.md Attribution basis: Source repository record Fields of work: Human Resources, Operations Roles: Business Process Analyst, HR Analyst, HR Generalist Specialties: API Tools: Bamboohr Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 2892352f6a7c47446ee300324c0a11956a66854631f397daff3169823312079c