Individual skill
workhuman-performance-tuning
Measure and tune Workhuman adapter, worker-sync, recognition, reporting, and Store workflows within documented tenant limits. Use when tuning latency or throughput. Trigger with "tune Workhuman performance".
skills/.curated/workhuman-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- workhuman Declared skill tag
- performance Declared skill tag
- reliability Declared skill tag
- optimization Declared skill tag
- engineering Derived category
Files and excerpt
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Read excerpt
# 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.