performance-test-gatling

Provide Gatling performance scope, reusable simulations, and runnable entry points.

12 stars

Best use case

performance-test-gatling is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Provide Gatling performance scope, reusable simulations, and runnable entry points.

Teams using performance-test-gatling should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/performance-test-gatling/SKILL.md --create-dirs "https://raw.githubusercontent.com/naodeng/awesome-qa-skills/main/skills/en/testing-types/performance-test-gatling/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/performance-test-gatling/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How performance-test-gatling Compares

Feature / Agentperformance-test-gatlingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Provide Gatling performance scope, reusable simulations, and runnable entry points.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# performance-test-gatling (EN)

**中文版:** 见对应中文技能。

## When to Use

- Need performance outputs that should land in Gatling structure.
- The project already uses Gatling or wants Gatling-ready scenarios.

## Output Format Options

Markdown by default unless the request explicitly asks for another format.

## How to Use

1. Open `prompts/performance-test-gatling.md` and use it as the main prompt.
2. Add the real project context: scope, environment, constraints, risks, dependencies, and expected deliverable.
3. If the input is incomplete, return a usable first version and mark missing information and assumptions.

## Reference Files

- `prompts/performance-test-gatling.md`: main prompt for this skill.
- `references/`: supporting notes loaded only when needed.
- `examples/`: sample inputs or outputs.
- `scripts/`: helper scripts or converters for this skill.

## Common Pitfalls

- Do not use it with vague scope and no context.
- Do not treat every area as equally important.
- Do not skip assumptions and missing information.

## Best Practices

- Start from the prompt file, then add only the context that matters.
- Keep the output risk-driven and executable.
- If the request is incomplete, return a usable first version and mark gaps.

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