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Agent skill

Analyzing Network Latency

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

Analyze network latency and optimize request patterns for faster communication.

MITAuto-check passedDatabases

Install Analyzing Network Latency

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace analyzing-network-latency --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-network-latency .claude/skills/analyzing-network-latency && 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-network-latency
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
447 words
Files
5 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze network latency and optimize request patterns for faster communication.

  • Works in 3 steps: Request Pattern Identification: Claude… → Latency Analysis: Claude analyzes the… → Optimization Recommendations: Claude…
  • Diagnosing slow network performance
  • 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 Network Latency is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze network latency and optimize request patterns for faster communication. Use when diagnosing slow network performance or optimizing API calls. Trigger with phrases like "analyze network latency", "optimize API calls", or "reduce network delays".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 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

It sits in Databases. 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

  • Diagnosing slow network performance
  • Optimizing API calls
  • With phrases like analyze network latency
  • Optimize API calls

Example prompts

  • “analyze network latency”
  • “optimize API calls”
  • “reduce network delays”
  • “/analyzing-network-latency”

Requirements

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

Workflow steps

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

  1. Request Pattern Identification: Claude identifies all network requests made by the application.
  2. Latency Analysis: Claude analyzes the latency associated with each request, looking for patterns and anomalies.
  3. Optimization Recommendations: Claude suggests optimizations such as parallelization, request batching, connection pooling, and timeout…

What it can do on your machine

Read from SKILL.md and the folder at commit d57fcd5. 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(curl:*)
    • Bash(ping:*)
    • Bash(traceroute:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 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 Network Latency loads about 1k tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 447 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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 d57fcd5, republished under its MIT licence (© jeremylongshore). 447 words, ~1,016 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-network-latency/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
analyzing-network-latency
description
Analyze network latency and optimize request patterns for faster communication. Use when diagnosing slow network performance or optimizing API calls. Trigger with phrases like "analyze network latency", "optimize API calls", or "reduce network delays".
allowed-tools
Read, Write, Bash(curl:*), Bash(ping:*), Bash(traceroute:*), Grep
compatibility
Designed for Claude Code
version
1.21.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
performance, api, analyzing-network

Network Latency Analyzer

Diagnose network latency issues and optimize request patterns through parallelization, batching, connection pooling, and timeout tuning.

Overview

This skill empowers Claude to diagnose network latency issues and propose optimizations to improve application performance. It analyzes request patterns, identifies potential bottlenecks, and recommends solutions for faster and more efficient network communication.

How It Works

  1. Request Pattern Identification: Claude identifies all network requests made by the application.
  2. Latency Analysis: Claude analyzes the latency associated with each request, looking for patterns and anomalies.
  3. Optimization Recommendations: Claude suggests optimizations such as parallelization, request batching, connection pooling, and timeout adjustments.

When to Use This Skill

This skill activates when you need to:

  • Analyze network latency in an application.
  • Optimize network request patterns for improved performance.
  • Identify bottlenecks in network communication.

Examples

Example 1: Optimizing API Calls

User request: "Analyze network latency and suggest improvements for our API calls."

The skill will:

  1. Identify all API calls made by the application.
  2. Analyze the latency of each API call.
  3. Suggest parallelizing certain API calls and implementing connection pooling.
Example 2: Reducing Page Load Time

User request: "Optimize network request patterns to reduce page load time."

The skill will:

  1. Identify all network requests made during page load.
  2. Analyze the latency of each request.
  3. Suggest batching multiple requests into a single request and optimizing timeout configurations.

Best Practices

  • Parallelization: Identify serial requests that can be executed in parallel to reduce overall latency.
  • Request Batching: Batch multiple small requests into a single larger request to reduce overhead.
  • Connection Pooling: Reuse existing HTTP connections to avoid the overhead of establishing new connections for each request.
Show full SKILL.md (172 more words)Show less

Integration

This skill can be used in conjunction with other plugins that manage infrastructure or application code, allowing for automated implementation of the suggested optimizations. For instance, it can work with a code modification plugin to automatically apply connection pooling or adjust timeout values.

Prerequisites

  • Access to application network configuration
  • Network monitoring tools (curl, ping, traceroute)
  • Request pattern documentation
  • Performance baseline metrics

Instructions

  1. Identify all network requests in the application
  2. Measure latency for each request type
  3. Analyze patterns for serial vs parallel execution
  4. Identify opportunities for batching and pooling
  5. Recommend timeout and retry configurations
  6. Provide optimization implementation plan

Output

  • Network latency analysis report
  • Request pattern visualizations
  • Optimization recommendations with priorities
  • Implementation examples for suggested changes
  • Expected performance improvements

Error Handling

If latency analysis fails:

  • Verify network connectivity to endpoints
  • Check DNS resolution and routing
  • Validate request authentication
  • Review firewall and security rules
  • Ensure monitoring tools are installed

Resources

  • HTTP connection pooling guides
  • Request batching best practices
  • Network performance optimization references
  • API design patterns for latency reduction

© 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 4 other files (scripts, references, assets) in skills/.curated/analyzing-network-latency of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • assets/README.md
  • references/README.md
  • scripts/README.md
  • scripts/analyze_request_patterns.py

Open the folder on GitHubat commit d57fcd5

Compare with similar skills

Analyzing Network Latency 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 Network Latency compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyzing Network Latency this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Keeper Stress AnalysisClickHouse/ClickHouse50k—~4.7kAutomated safety check: PassApache-2.0
Perf ComparisonClickHouse/ClickHouse50k—~3.9kAutomated safety check: NotesApache-2.0
Patch Release CheckClickHouse/ClickHouse50k—~4kAutomated safety check: NotesApache-2.0
Evolving The Data ModelTriliumNext/Trilium38k—~2.1kAutomated safety check: PassAGPL-3.0
Hybrid Cloud Outboxesgetsentry/sentry46k—~4.8kAutomated safety check: PassCustom licence

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Categories

Questions about Analyzing Network Latency

What does Analyzing Network Latency do?

Analyze network latency and optimize request patterns for faster communication. Analyzing Network Latency is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze network latency and optimize request patterns for faster communication.

When should I use Analyzing Network Latency?

Analyzing Network Latency fits situations like: diagnosing slow network performance; optimizing API calls; with phrases like analyze network latency; optimize API calls.

How do I install Analyzing Network Latency in Claude Code?

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

How do I install Analyzing Network Latency in Codex?

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

Can I use Analyzing Network Latency 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-network-latency -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-network-latency, .gemini/skills/analyzing-network-latency, .github/skills/analyzing-network-latency and .opencode/skills/analyzing-network-latency in your project.

What does Analyzing Network Latency need to run?

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

Does Analyzing Network Latency 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 Network Latency 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 Network Latency use?

Analyzing Network Latency 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 Network Latency use?

About 1k tokens (SKILL.md is roughly 4.1k 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 17 tokens, read only when the agent opens those files.

What are the alternatives to Analyzing Network Latency?

Skills that share tags, products or a category with Analyzing Network Latency: Keeper Stress Analysis (ClickHouse/ClickHouse, 50k stars), Perf Comparison (ClickHouse/ClickHouse, 50k stars), Patch Release Check (ClickHouse/ClickHouse, 50k stars) and Evolving The Data Model (TriliumNext/Trilium, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyzing Network Latency?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,831 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 11, 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.