ml-experiment-tracker

name	ML Experiment Tracker
author	exptrackr
version	1.0.0
type	tool
category	Machine Learning
license	MIT
description	Tracks ML experiments with metrics logging, model versioning, and comparison dashboards using MLflow/W&B
tags	["tool","machine-learning","ai","automation"]
models	["gpt-4o","claude-3.5-sonnet","gemini-1.5-pro"]
parameters	{"temperature":{"type":"number","default":0.7,"min":0,"max":2,"description":"Controls randomness in output generation"},"max_tokens":{"type":"integer","default":4096,"min":256,"max":16384,"description":"Maximum number of tokens to generate"},"streaming":{"type":"boolean","default":false,"description":"Enable streaming output"}}
inputs	{"query":{"type":"string","required":true,"description":"Primary input for the skill"},"context":{"type":"object","required":false,"description":"Additional context for processing"}}
outputs	{"result":{"type":"string","description":"Primary output from the skill"},"metadata":{"type":"object","description":"Execution metadata including tokens used and latency"}}

ML Experiment Tracker

Tracks ML experiments with metrics logging, model versioning, and comparison dashboards using MLflow/W&B

Usage

This skill can be used standalone or as part of an Agent workflow on SkillsHub.

Standalone

skillshub run exptrackr/ML-Experiment-Tracker --input "Your query here"

In Agent

Add this skill to your Agent configuration to enable its capabilities.