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Agent skill

Aggregating Performance Metrics

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

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

MITAuto-check passedBusiness, Finance & HR

Install Aggregating Performance Metrics

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill aggregating-performance-metrics -a claude-code

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

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

At a glance

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

  • Works in 4 steps: Metrics Taxonomy Design: Claude assists… → Aggregation Tool Selection: Claude helps… → Configuration and Integration: Claude… → …
  • Consolidating monitoring data from multiple sources
  • SKILL.md covers Overview, How It Works, When to Use This Skill and Examples, plus 7 more sections
  • With phrases like aggregate metrics

What it does

Aggregating Performance Metrics is an agent skill from jeremylongshore/tons-of-skills-marketplace. Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 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 Business, Finance & HR, covering OKRs and executive reporting. It works with Prometheus. 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

  • Consolidating monitoring data from multiple sources
  • With phrases like aggregate metrics
  • Centralize monitoring
  • Collect performance data

Example prompts

  • “aggregate metrics”
  • “centralize monitoring”
  • “collect performance data”
  • “/aggregating-performance-metrics”

Requirements

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

Workflow steps

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

  1. Metrics Taxonomy Design: Claude assists in defining a clear and consistent naming convention for metrics across all systems.
  2. Aggregation Tool Selection: Claude helps select the appropriate metrics aggregation tool (e.g., Prometheus, StatsD, CloudWatch) based on…
  3. Configuration and Integration: Claude guides the configuration of the chosen aggregation tool and its integration with various data sources.
  4. Dashboard and Alert Setup: Claude helps set up dashboards for visualizing metrics and defining alerts for critical performance indicators.

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(prometheus:*)
    • Bash(metrics:*)
    • Bash(monitoring:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, 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

Aggregating Performance Metrics 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 76 tokens; SKILL.md has 541 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
~1.2k
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 d57fcd5, republished under its MIT licence (© jeremylongshore). 541 words, ~1,189 tokens.

Download SKILL.mdSave it as .claude/skills/aggregating-performance-metrics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
aggregating-performance-metrics
description
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".
allowed-tools
Read, Write, Bash(prometheus:*), Bash(metrics:*), Bash(monitoring:*), Grep
compatibility
Designed for Claude Code
version
1.21.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
performance, database, monitoring

Metrics Aggregator

Aggregate and centralize performance metrics from applications, databases, caches, and infrastructure into Prometheus, StatsD, or CloudWatch with unified naming conventions.

Overview

This skill empowers Claude to streamline performance monitoring by aggregating metrics from diverse systems into a unified view. It simplifies the process of collecting, centralizing, and analyzing performance data, leading to improved insights and faster issue resolution.

How It Works

  1. Metrics Taxonomy Design: Claude assists in defining a clear and consistent naming convention for metrics across all systems.
  2. Aggregation Tool Selection: Claude helps select the appropriate metrics aggregation tool (e.g., Prometheus, StatsD, CloudWatch) based on the user's environment and requirements.
  3. Configuration and Integration: Claude guides the configuration of the chosen aggregation tool and its integration with various data sources.
  4. Dashboard and Alert Setup: Claude helps set up dashboards for visualizing metrics and defining alerts for critical performance indicators.

When to Use This Skill

This skill activates when you need to:

  • Centralize performance metrics from multiple applications and systems.
  • Design a consistent metrics naming convention.
  • Choose the right metrics aggregation tool for your needs.
  • Set up dashboards and alerts for performance monitoring.

Examples

Example 1: Centralizing Application and System Metrics

User request: "Aggregate application and system metrics into Prometheus."

The skill will:

  1. Guide the user in defining metrics for applications (e.g., request latency, error rates) and systems (e.g., CPU usage, memory utilization).
  2. Help configure Prometheus to scrape metrics from the application and system endpoints.
Example 2: Setting Up Alerts for Database Performance

User request: "Centralize database metrics and set up alerts for slow queries."

The skill will:

  1. Help the user define metrics for database performance (e.g., query execution time, connection pool usage).
  2. Guide the user in configuring the aggregation tool to collect these metrics from the database.
  3. Assist in setting up alerts in the aggregation tool to notify the user when query execution time exceeds a defined threshold.
Show full SKILL.md (222 more words)Show less

Best Practices

  • Naming Conventions: Use a consistent and well-defined naming convention for all metrics to ensure clarity and ease of analysis.
  • Granularity: Choose an appropriate level of granularity for metrics to balance detail and storage requirements.
  • Retention Policies: Define retention policies for metrics to manage storage space and ensure data is available for historical analysis.

Integration

This skill integrates with other plugins that manage infrastructure, deploy applications, and monitor system health. For example, it can be used in conjunction with a deployment plugin to automatically configure metrics collection after a new application deployment.

Prerequisites

  • Access to metrics collection tools (Prometheus, StatsD, CloudWatch)
  • Network connectivity to metric sources
  • Metrics storage configuration in ${CLAUDE_SKILL_DIR}/metrics/
  • Understanding of metrics taxonomy

Instructions

  1. Design consistent metrics naming convention
  2. Select appropriate aggregation tool for environment
  3. Configure metric collection from all sources
  4. Set up centralized storage and retention policies
  5. Create dashboards for visualization
  6. Define alerts for critical metrics

Output

  • Metrics aggregation configuration files
  • Unified naming convention documentation
  • Dashboard definitions for key metrics
  • Alert rules for performance thresholds
  • Integration guides for metric sources

Error Handling

If metrics aggregation fails:

  • Verify network connectivity to sources
  • Check authentication credentials
  • Validate metrics format compatibility
  • Review storage capacity and retention
  • Ensure aggregation tool configuration

Resources

  • Prometheus aggregation documentation
  • StatsD protocol specifications
  • CloudWatch metrics API reference
  • Metrics naming best practices

© 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 3 other files (scripts, references, assets) in skills/.curated/aggregating-performance-metrics of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit d57fcd5

Compare with similar skills

Aggregating Performance Metrics 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.

Aggregating Performance Metrics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aggregating Performance Metrics this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: PassMIT
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Pine BacktesterTradersPost/pinescript-agents1701 repos~3.9kAutomated safety check: PassNone
Analytics Strategyrampstackco/claude-skills945—~2.4kAutomated safety check: PassMIT
Onboarding Plannerbpinheiroms/dotfiles108—~5.4kAutomated safety check: PassNone
Replit Decksanqiufong/slides-from-anything1321 repos~2.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Aggregating Performance Metrics

What does Aggregating Performance Metrics do?

Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Aggregating Performance Metrics is an agent skill from jeremylongshore/tons-of-skills-marketplace. Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

When should I use Aggregating Performance Metrics?

Aggregating Performance Metrics fits situations like: consolidating monitoring data from multiple sources; with phrases like aggregate metrics; centralize monitoring; collect performance data.

How do I install Aggregating Performance Metrics in Claude Code?

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

How do I install Aggregating Performance Metrics in Codex?

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

Can I use Aggregating Performance Metrics 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 aggregating-performance-metrics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aggregating-performance-metrics, .gemini/skills/aggregating-performance-metrics, .github/skills/aggregating-performance-metrics and .opencode/skills/aggregating-performance-metrics in your project.

What does Aggregating Performance Metrics need to run?

SKILL.md names no scripts, command-line tools or credentials: Aggregating Performance Metrics is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash(prometheus:*), Bash(metrics:*), Bash(monitoring:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Aggregating Performance Metrics 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 Aggregating Performance Metrics 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 Aggregating Performance Metrics use?

Aggregating Performance Metrics 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 Aggregating Performance Metrics 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 16 tokens, read only when the agent opens those files.

What are the alternatives to Aggregating Performance Metrics?

Skills that share tags, products or a category with Aggregating Performance Metrics: Aliyun Arms Query (cinience/alicloud-skills, 397 stars), Pine Backtester (TradersPost/pinescript-agents, 170 stars), Analytics Strategy (rampstackco/claude-skills, 945 stars) and Onboarding Planner (bpinheiroms/dotfiles, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aggregating Performance Metrics?

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.