track

Create, monitor, and modify project metric goals in automated code improvement workflows.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tokyo-megacorp/autoimprove --skill track-tokyo-megacorp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: track
Source: https://github.com/tokyo-megacorp/autoimprove/tree/main/skills/track
Command: npx skills add https://github.com/tokyo-megacorp/autoimprove --skill track-tokyo-megacorp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users define, monitor, and adjust measurable goals that influence the autoimprove experiment loop, ensuring alignment with user priorities.

Core Features & Use Cases

  • Goal Management: Create, list, and remove specific goals tied to project metrics.
  • Progress Tracking: Announce advancements, achieve milestones, and validate goal status periodically.
  • Use Case: A developer wants to reduce test runtime by 20%; using this Skill, they set, monitor, and adjust their goal through simple commands and automated updates.

Quick Start

Manage your performance metrics by tracking specific goals directly within your repository, enabling dynamic adjustments to your autoimprove process.

Frequently Asked Questions about track

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track project metrics for automated code improvement?

Track project metrics for automated code improvement by creating and monitoring measurable goals tied to your repository, which dynamically guides the autoimprove process towards your defined objectives.

What is the best way to manage measurable goals for autoimprove workflows?

Managing measurable goals for autoimprove workflows involves setting specific targets tied to project metrics, announcing advancements periodically, and validating goal status to ensure alignment with user priorities.

Can I adjust project goals dynamically during the autoimprove loop?

Yes, you can adjust project goals dynamically during the autoimprove loop by modifying or removing existing targets, allowing continuous progress tracking and adaptation to shifting user priorities.

Does this goal management approach work for reducing test runtime metrics?

Yes, this goal management approach works for reducing test runtime metrics by allowing you to set a specific target like a 20% reduction, monitor advancements, and validate status through automated updates.

How do I validate progress towards project goals in my repository?

You validate progress towards project goals in your repository by using commands to announce advancements and periodically checking goal status, ensuring continuous alignment with your defined performance metrics.