agentsclimarketplace

Ml experiment tracker

Skill 0x-Professor/Agent-Skills-Hub/skills/ml-experiment-tracker

Public skill pack for AI coding/automation/penetration-testing agents.

Install
npx -y skills add 0x-Professor/Agent-Skills-Hub --skill ml-experiment-tracker

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What its author says it does

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Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.

SKILL.md

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ML Experiment Tracker

Overview

Generate structured experiment plans that can be logged consistently in experiment tracking systems.

Workflow

  1. Define dataset, target task, model family, and parameter search space.
  2. Define metrics and acceptance thresholds before training.
  3. Produce run plan with version and artifact expectations.
  4. Export the run plan for execution in tracking tools.

Use Bundled Resources

  • Run scripts/build_experiment_plan.py to generate consistent run plans.
  • Read references/tracking-guide.md for reproducibility checklist.

Guardrails

  • Keep inputs explicit and machine-readable.
  • Always include metrics and baseline criteria.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.