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performance-test-plan | testing

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performance-test-plan

Skill

performance-test-plan

Load testing, profiling, SLA verification, bottleneck identification.

Popularity

Parent stars

13

Parent forks

2

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/testing:performance-test-plan

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

Strategy for measuring and verifying performance characteristics.

SKILL.md

44 lines · ~411 tokens

Stats

Parent stars13

Parent forks2

MaintenanceFair

Last CommitMar 11, 2026

Actions

View Source View Plugin View on GitHub View README

Stats

Parent stars13

Parent forks2

MaintenanceFair

Last CommitMar 11, 2026

Actions

View Source View Plugin View on GitHub View README

Performance Test Plan

Strategy for measuring and verifying performance characteristics.

Context

You are designing performance tests. Measure baseline, set thresholds, identify bottlenecks.

Domain Context

Load Testing: How system behaves under expected/peak load
Stress Testing: At what point does system break?
Profiling: Where do CPU/memory/I/O bottlenecks exist?
SLA Verification: Does system meet response time, throughput commitments?
Regression Detection: Did recent changes degrade performance?

Instructions

Define SLAs: Response time P99? Throughput? Memory budget?
Create Load Profile: How many users? What do they do?
Measure Baseline: Establish baseline metrics before optimization
Profile Hot Paths: Identify which code consumes CPU/memory
Set Thresholds: Alert if response time exceeds target
Run Regularly: Performance tests in CI to catch regressions
Compare Versions: Before/after comparison for optimization

Anti-Patterns

Performance tests that are flaky or environment-dependent; unreliable signals
Benchmarking without realistic load; lab results don't match production
Micro-optimizations without profiling; premature optimization is evil
Ignoring memory leaks in performance tests; good data won't show memory creep
Setting unrealistic SLAs; know your hardware limits

Further Reading

Brendan Gregg, Systems Performance: Enterprise and the Cloud
Martin Fowler, Profiling essay

$

npx claudepluginhub sethdford/claude-skills --plugin engineer-testing

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