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Agent skill

Tracking Resource Usage

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

Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O.

MITAuto-check passedDevelopment

Install Tracking Resource Usage

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill tracking-resource-usage -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace tracking-resource-usage --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/tracking-resource-usage .claude/skills/tracking-resource-usage && 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
tracking-resource-usage
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
523 words
Files
5 (incl. scripts, references, assets)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O.

  • Works in 4 steps: Identify Resources: The skill identifies… → Collect Metrics: The plugin collects… → Analyze Data: The skill analyzes the… → …
  • Identifying bottlenecks
  • 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

Tracking Resource Usage is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like "track resource usage", "monitor CPU and memory", or "optimize resource allocation".

Its SKILL.md is about 1.2k 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 Development. 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 bottlenecks
  • Optimizing costs
  • With phrases like track resource usage
  • Monitor CPU and memory

Example prompts

  • “track resource usage”
  • “monitor CPU and memory”
  • “optimize resource allocation”
  • “/tracking-resource-usage”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Bash(top:*), Bash(ps:*), Bash(vmstat:*), Bash(iostat:*), Grep, Glob

Workflow steps

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

  1. Identify Resources: The skill identifies the resources to be tracked based on the user's request and the application's configuration (CPU…
  2. Collect Metrics: The plugin collects real-time metrics for the identified resources, providing a snapshot of current resource consumption.
  3. Analyze Data: The skill analyzes the collected data to identify performance bottlenecks, resource imbalances, and potential optimization…
  4. Provide Recommendations: Based on the analysis, the skill provides specific recommendations for optimizing resource allocation…

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
    • Bash(top:*)
    • Bash(ps:*)
    • Bash(vmstat:*)
    • Bash(iostat:*)
    • Grep
    • Glob

    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

Tracking Resource Usage loads about 1.2k tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 523 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

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). 523 words, ~1,191 tokens.

Download SKILL.mdSave it as .claude/skills/tracking-resource-usage/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
tracking-resource-usage
description
Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like "track resource usage", "monitor CPU and memory", or "optimize resource allocation".
allowed-tools
Read, Bash(top:*), Bash(ps:*), Bash(vmstat:*), Bash(iostat:*), Grep, Glob
compatibility
Designed for Claude Code
version
1.22.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
performance, monitoring, cost-optimization

Resource Usage Tracker

Track CPU, memory, disk I/O, and network utilization in real time to identify bottlenecks, right-size instances, and reduce cloud infrastructure costs.

Overview

This skill provides a comprehensive solution for monitoring and optimizing resource usage within an application. It leverages the resource-usage-tracker plugin to gather real-time metrics, identify performance bottlenecks, and suggest optimization strategies.

How It Works

  1. Identify Resources: The skill identifies the resources to be tracked based on the user's request and the application's configuration (CPU, memory, disk I/O, network I/O, etc.).
  2. Collect Metrics: The plugin collects real-time metrics for the identified resources, providing a snapshot of current resource consumption.
  3. Analyze Data: The skill analyzes the collected data to identify performance bottlenecks, resource imbalances, and potential optimization opportunities.
  4. Provide Recommendations: Based on the analysis, the skill provides specific recommendations for optimizing resource allocation, right-sizing instances, and reducing costs.

When to Use This Skill

This skill activates when you need to:

  • Identify performance bottlenecks in an application.
  • Optimize resource allocation to improve efficiency.
  • Reduce cloud infrastructure costs by right-sizing instances.
  • Monitor resource usage in real-time to detect anomalies.
  • Track the impact of code changes on resource consumption.

Examples

Example 1: Identifying Memory Leaks

User request: "Track memory usage and identify potential memory leaks."

The skill will:

  1. Activate the resource-usage-tracker plugin to monitor memory usage (heap, stack, RSS).
  2. Analyze the memory usage data over time to detect patterns indicative of memory leaks.
  3. Provide recommendations for identifying and resolving the memory leaks.
Example 2: Optimizing Database Connection Pool

User request: "Optimize database connection pool utilization."

The skill will:

  1. Activate the resource-usage-tracker plugin to monitor database connection pool metrics.
  2. Analyze the connection pool utilization data to identify periods of high contention or underutilization.
  3. Provide recommendations for adjusting the connection pool size to optimize performance and resource consumption.
Show full SKILL.md (217 more words)Show less

Best Practices

  • Granularity: Track resource usage at a granular level (e.g., process-level CPU usage) to identify specific bottlenecks.
  • Historical Data: Analyze historical resource usage data to identify trends and predict future resource needs.
  • Alerting: Configure alerts to notify you when resource usage exceeds predefined thresholds.

Integration

This skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with deployment automation tools to automatically right-size instances based on resource usage patterns.

Prerequisites

  • Access to system monitoring tools (top, ps, vmstat, iostat)
  • Resource metrics collection infrastructure
  • Historical usage data in ${CLAUDE_SKILL_DIR}/metrics/resources/
  • Performance baseline definitions

Instructions

  1. Identify resources to track (CPU, memory, disk, network)
  2. Collect real-time metrics using system tools
  3. Analyze data for bottlenecks and patterns
  4. Compare against historical baselines
  5. Generate optimization recommendations
  6. Provide right-sizing and cost reduction strategies

Output

  • Resource usage reports with trends
  • Bottleneck identification and analysis
  • Right-sizing recommendations for instances
  • Cost optimization suggestions
  • Alert configurations for thresholds

Error Handling

If resource tracking fails:

  • Verify system monitoring tool permissions
  • Check metrics collection daemon status
  • Validate data storage availability
  • Ensure network access to monitoring endpoints
  • Review baseline data completeness

Resources

  • System performance monitoring guides
  • Cloud resource optimization best practices
  • CPU and memory profiling techniques
  • Infrastructure cost optimization strategies

© 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/tracking-resource-usage of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Tracking Resource Usage 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.

Tracking Resource Usage compared with similar skills
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Tracking Resource Usage this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
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PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Tracking Resource Usage

What does Tracking Resource Usage do?

Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O. Tracking Resource Usage is an agent skill from jeremylongshore/tons-of-skills-marketplace. Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O.

When should I use Tracking Resource Usage?

Tracking Resource Usage fits situations like: identifying bottlenecks; optimizing costs; with phrases like track resource usage; monitor CPU and memory.

How do I install Tracking Resource Usage in Claude Code?

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

How do I install Tracking Resource Usage in Codex?

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

Can I use Tracking Resource Usage 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 tracking-resource-usage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-resource-usage, .gemini/skills/tracking-resource-usage, .github/skills/tracking-resource-usage and .opencode/skills/tracking-resource-usage in your project.

What does Tracking Resource Usage need to run?

Going by SKILL.md and its folder, Tracking Resource Usage needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash(top:*), Bash(ps:*), Bash(vmstat:*), Bash(iostat:*), Grep, Glob. Compatibility (from SKILL.md): Designed for Claude Code.

Does Tracking Resource Usage 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 Tracking Resource Usage 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 Tracking Resource Usage use?

Tracking Resource Usage 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 Tracking Resource Usage use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Tracking Resource Usage?

Skills that share tags, products or a category with Tracking Resource Usage: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tracking Resource Usage?

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.