workhuman-performance-tuning
Installation
SKILL.md
Workhuman Evidence-Based Performance Tuning
Overview
Improve an identified bottleneck while preserving correctness, freshness, privacy, financial integrity, and downstream capacity.
Prerequisites
- A named workflow, current baseline, service-level objective, volume model, and bottleneck hypothesis
- Customer-authorized capacity and behavior contracts for every dependent system
- Synthetic load fixtures, reconciliation, abort thresholds, and rollback ownership
Tool Discipline
Use Read, Glob, and Grep to inspect code and telemetry, WebFetch for current vendor context, and Write or Edit for benchmarks, controls, tests, and redacted receipts.
Current Contract
Workhuman supports global recognition, rewards, reporting, open-API use, and managed integrations, but its public pages do not publish universal performance limits. Optimize against measured customer behavior and current documented boundaries.