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Performance Baseline Creator

Listed
jeremylongshore·vlatest·devops·MIT

Automatically establishes performance baselines for AI models using historical data, enabling objective progress tracking.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill performance-baseline-creator -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill establishes a performance baseline for AI agent tasks. It captures initial execution times and resource usage to provide a reference point for future optimizations or comparisons with alternative approaches. The tool specifically measures task completion time and provides data for tracking improvements over time. This helps in understanding the impact of changes on agent efficiency.

When to use it

  • Before implementing significant changes to an AI agent's workflow, to understand its current performance.
  • When evaluating different prompting strategies or tools for a specific task.
  • To monitor the degradation of performance over time due to factors like data drift or model updates.
  • As part of a continuous integration/continuous deployment (CI/CD) pipeline for AI agents.

Key capabilities

  • Measures task completion time.
  • Establishes a baseline for future comparisons.
  • Provides data for tracking performance improvements.
  • Tracks resource usage during task execution.

Example prompts

  • "Create a performance baseline for the 'summarize_article' task."
  • "Run a baseline measurement of the agent’s ability to answer questions about this document."
  • "Establish a performance benchmark for generating creative writing pieces in the style of Edgar Allan Poe."

Tips & gotchas

The accuracy of the baseline depends on consistent task inputs and environment conditions. Ensure that any external dependencies or APIs used by the AI agent are stable during baseline creation to avoid skewed results.