throughput-calculator

Throughput Calculator - Auto-activating skill for Performance Testing. Triggers on: throughput calculator, throughput calculator Part of the Performance Testing skill category.

25 stars

Best use case

throughput-calculator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Throughput Calculator - Auto-activating skill for Performance Testing. Triggers on: throughput calculator, throughput calculator Part of the Performance Testing skill category.

Teams using throughput-calculator 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/throughput-calculator/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/jeremylongshore/claude-code-plugins-plus-skills/throughput-calculator/SKILL.md"

Manual Installation

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

How throughput-calculator Compares

Feature / Agentthroughput-calculatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Throughput Calculator - Auto-activating skill for Performance Testing. Triggers on: throughput calculator, throughput calculator Part of the Performance Testing skill category.

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

# Throughput Calculator

## Purpose

This skill provides automated assistance for throughput calculator tasks within the Performance Testing domain.

## When to Use

This skill activates automatically when you:
- Mention "throughput calculator" in your request
- Ask about throughput calculator patterns or best practices
- Need help with performance testing skills covering load testing, stress testing, benchmarking, and performance monitoring.

## Capabilities

- Provides step-by-step guidance for throughput calculator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards

## Example Triggers

- "Help me with throughput calculator"
- "Set up throughput calculator"
- "How do I implement throughput calculator?"

## Related Skills

Part of the **Performance Testing** skill category.
Tags: performance, load-testing, k6, jmeter, benchmarking

Related Skills

analyzing-system-throughput

25
from ComeOnOliver/skillshub

This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.

statistical-significance-calculator

25
from ComeOnOliver/skillshub

Statistical Significance Calculator - Auto-activating skill for Data Analytics. Triggers on: statistical significance calculator, statistical significance calculator Part of the Data Analytics skill category.

retention-calculator

25
from ComeOnOliver/skillshub

Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.

metric-calculator

25
from ComeOnOliver/skillshub

Metric Calculator - Auto-activating skill for Data Analytics. Triggers on: metric calculator, metric calculator Part of the Data Analytics skill category.

apdex-score-calculator

25
from ComeOnOliver/skillshub

Apdex Score Calculator - Auto-activating skill for Performance Testing. Triggers on: apdex score calculator, apdex score calculator Part of the Performance Testing skill category.

safe-calculator

25
from ComeOnOliver/skillshub

A safe calculator for mathematical expressions

calculator

25
from ComeOnOliver/skillshub

Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.

vLLM — High-Throughput LLM Inference Engine

25
from ComeOnOliver/skillshub

You are an expert in vLLM, the high-throughput LLM serving engine. You help developers deploy open-source models (Llama, Mistral, Qwen, Phi, Gemma) with PagedAttention for efficient memory management, continuous batching, tensor parallelism for multi-GPU, OpenAI-compatible API, and quantization support — achieving 2-24x higher throughput than HuggingFace Transformers for production LLM serving.

Daily Logs

25
from ComeOnOliver/skillshub

Record the user's daily activities, progress, decisions, and learnings in a structured, chronological format.

Socratic Method: The Dialectic Engine

25
from ComeOnOliver/skillshub

This skill transforms Claude into a Socratic agent — a cognitive partner who guides

Sokratische Methode: Die Dialektik-Maschine

25
from ComeOnOliver/skillshub

Dieser Skill verwandelt Claude in einen sokratischen Agenten — einen kognitiven Partner, der Nutzende durch systematisches Fragen zur Wissensentdeckung führt, anstatt direkt zu instruieren.

College Football Data (CFB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.