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Agent skill

Analyzing System Throughput

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Analyze and optimize system throughput including request handling, data processing, and resource utilization.

MITAuto-check passed

Install Analyzing System Throughput

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-system-throughput -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-system-throughput --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/analyzing-system-throughput .claude/skills/analyzing-system-throughput && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-system-throughput
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
441 words
Files
6 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze and optimize system throughput including request handling, data processing, and resource utilization.

  • Works in 4 steps: Identify Critical Components: Determines… → Analyze Throughput Metrics: Gathers and… → Identify Limiting Factors: Pinpoints the… → …
  • Identifying capacity limits
  • SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
  • Runs Python scripts from its folder

What it does

Analyzing System Throughput is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like "analyze throughput", "optimize capacity", or "identify bottlenecks".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`). Compatibility notes: Designed for Claude Code

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Identifying capacity limits
  • Evaluating scaling strategies
  • With phrases like analyze throughput
  • Optimize capacity

Example prompts

  • “analyze throughput”
  • “optimize capacity”
  • “identify bottlenecks”
  • “/analyzing-system-throughput”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Bash(performance:*), Bash(monitoring:*), Grep

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify Critical Components: Determines which system components are most relevant to throughput.
  2. Analyze Throughput Metrics: Gathers and analyzes current throughput metrics for the identified components.
  3. Identify Limiting Factors: Pinpoints the bottlenecks and constraints that are hindering optimal throughput.
  4. Evaluate Scaling Strategies: Explores potential scaling strategies and their impact on overall throughput.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash(performance:*)
    • Bash(monitoring:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Analyzing System Throughput loads about 1.1k tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 441 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 441 words, ~1,063 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-system-throughput/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
analyzing-system-throughput
description
Analyze and optimize system throughput including request handling, data processing, and resource utilization. Use when identifying capacity limits or evaluating scaling strategies. Trigger with phrases like "analyze throughput", "optimize capacity", or "identify bottlenecks".
allowed-tools
Read, Write, Bash(performance:*), Bash(monitoring:*), Grep
compatibility
Designed for Claude Code
version
1.24.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
performance, scaling, analyzing-system

Throughput Analyzer

Analyze system throughput across request handling, data processing pipelines, and queue consumers to identify capacity limits and evaluate scaling strategies.

Overview

This skill allows Claude to analyze system performance and identify areas for throughput optimization. It uses the throughput-analyzer plugin to provide insights into request handling, data processing, and resource utilization.

How It Works

  1. Identify Critical Components: Determines which system components are most relevant to throughput.
  2. Analyze Throughput Metrics: Gathers and analyzes current throughput metrics for the identified components.
  3. Identify Limiting Factors: Pinpoints the bottlenecks and constraints that are hindering optimal throughput.
  4. Evaluate Scaling Strategies: Explores potential scaling strategies and their impact on overall throughput.

When to Use This Skill

This skill activates when you need to:

  • Analyze system throughput to identify performance bottlenecks.
  • Optimize system performance for increased capacity.
  • Evaluate scaling strategies to improve throughput.

Examples

Example 1: Analyzing Web Server Throughput

User request: "Analyze the throughput of my web server and identify any bottlenecks."

The skill will:

  1. Activate the throughput-analyzer plugin.
  2. Analyze request throughput, data throughput, and resource saturation of the web server.
  3. Provide a report identifying potential bottlenecks and optimization opportunities.
Example 2: Optimizing Data Processing Pipeline

User request: "Optimize the throughput of my data processing pipeline."

The skill will:

  1. Activate the throughput-analyzer plugin.
  2. Analyze data throughput, queue processing, and concurrency limits of the data processing pipeline.
  3. Suggest improvements to increase data processing rates and overall throughput.

Best Practices

  • Component Selection: Focus the analysis on the most throughput-critical components to avoid unnecessary overhead.
  • Metric Interpretation: Carefully interpret throughput metrics to accurately identify limiting factors.
  • Scaling Evaluation: Thoroughly evaluate the potential impact of scaling strategies before implementation.
Show full SKILL.md (160 more words)Show less

Integration

This skill can be used in conjunction with other monitoring and performance analysis tools to gain a more comprehensive understanding of system behavior. It provides a starting point for further investigation and optimization efforts.

Prerequisites

  • Access to throughput metrics in ${CLAUDE_SKILL_DIR}/metrics/throughput/
  • System performance monitoring tools
  • Historical throughput baselines
  • Current capacity and scaling limits

Instructions

  1. Identify critical system components for throughput analysis
  2. Collect request and data throughput metrics
  3. Analyze resource saturation and queue depths
  4. Identify bottlenecks and limiting factors
  5. Evaluate horizontal and vertical scaling strategies
  6. Generate capacity planning recommendations

Output

  • Throughput analysis reports with current capacity
  • Bottleneck identification and root cause analysis
  • Resource saturation metrics
  • Scaling strategy recommendations
  • Capacity planning projections

Error Handling

If throughput analysis fails:

  • Verify metrics collection infrastructure
  • Check system monitoring tool access
  • Validate historical baseline data
  • Ensure performance testing environment
  • Review component identification logic

Resources

  • Throughput optimization best practices
  • Capacity planning methodologies
  • Scaling strategy comparison guides
  • Performance bottleneck detection techniques

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references, assets) in skills/.curated/analyzing-system-throughput of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md
  • scripts/analyze_throughput.py
  • scripts/identify_bottlenecks.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Analyzing System Throughput next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyzing System Throughput compared with similar skills
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Analyzing System Throughput this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
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SQL Optimizationgithub/awesome-copilot40k2 repos~2.3kAutomated safety check: PassMIT
Prompt Optimizeraffaan-m/ECC277k5 repos~3.8kAutomated safety check: PassMIT
Agent Performance Optimizerruvnet/ruflo74k2 repos~3.6kAutomated safety check: PassMIT
Database Optimizerdavila7/claude-code-templates33k8 repos~2.5kAutomated safety check: PassMIT

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Questions about Analyzing System Throughput

What does Analyzing System Throughput do?

Analyze and optimize system throughput including request handling, data processing, and resource utilization. Analyzing System Throughput is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze and optimize system throughput including request handling, data processing, and resource utilization.

When should I use Analyzing System Throughput?

Analyzing System Throughput fits situations like: identifying capacity limits; evaluating scaling strategies; with phrases like analyze throughput; optimize capacity.

How do I install Analyzing System Throughput in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-system-throughput -a claude-code`. Or copy the skill folder (skills/.curated/analyzing-system-throughput in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/analyzing-system-throughput in your project. Claude Code loads it when a task matches its description.

How do I install Analyzing System Throughput in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-system-throughput -a codex`. Or copy the skill folder (skills/.curated/analyzing-system-throughput in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/analyzing-system-throughput in your project. Codex loads it when a task matches its description.

Can I use Analyzing System Throughput in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill analyzing-system-throughput -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-system-throughput, .gemini/skills/analyzing-system-throughput, .github/skills/analyzing-system-throughput and .opencode/skills/analyzing-system-throughput in your project.

What does Analyzing System Throughput need to run?

Going by SKILL.md and its folder, Analyzing System Throughput needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Bash(performance:*), Bash(monitoring:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Analyzing System Throughput access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyzing System Throughput safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyzing System Throughput use?

Analyzing System Throughput is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyzing System Throughput use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing System Throughput?

Skills that share tags, products or a category with Analyzing System Throughput: Cost Optimize (ruvnet/ruflo, 74k stars), SQL Optimization (github/awesome-copilot, 40k stars), Prompt Optimizer (affaan-m/ECC, 277k stars) and Agent Performance Optimizer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing System Throughput?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.