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experiment-tracker

Organizes machine learning experiments by automatically configuring tracking tools (MLflow, Weights & Biases, or built-in) to log all runs within SpecWeave increments, ensuring reproducibility, team knowledge preservation, and easy experiment comparison.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
95
Hot score
94
Updated
March 20, 2026
Overall rating
C5.1
Composite score
5.1
Best-practice grade
C67.9

Install command

npx @skill-hub/cli install anton-abyzov-specweave-experiment-tracker

Repository

anton-abyzov/specweave

Skill path: plugins/specweave-ml/skills/experiment-tracker

Organizes machine learning experiments by automatically configuring tracking tools (MLflow, Weights & Biases, or built-in) to log all runs within SpecWeave increments, ensuring reproducibility, team knowledge preservation, and easy experiment comparison.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: anton-abyzov.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install experiment-tracker into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/anton-abyzov/specweave before adding experiment-tracker to shared team environments
  • Use experiment-tracker for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

experiment-tracker | SkillHub